{"data":{"items":[{"id":"030b0d47-b70b-4b50-97f3-9a1660b12ca0","excerpt":"I want Claude to be an actual employee. Right now I trust it about as much as an intern on day one. Here's everything that's broken for me. — I run wholesale operations for a consumer products brand. Solo. I'm going to describe the job in detail, because most posts here are from devs and I think ops people are hitting ","url":"https://www.reddit.com/r/ClaudeAI/comments/1vw2w0x/i_want_claude_to_be_an_actual_employee_right_now/","role":"pain","weight":1.3193539,"occurredAt":"2026-08-23T09:45:09.000Z","sourceKey":"reddit","sourceName":"Reddit","credibility":0.62,"venue":"ClaudeAI","intent":"problem_report","painScore":0.74301904,"sentiment":-0.84615386,"confidence":0.756936,"matchedPatterns":["frustrating","manual_process"],"statement":"That's precisely why the gap is so frustrating.","title":"I want Claude to be an actual employee. Right now I trust it about as much as an intern on day one. Here's everything that's broken for me.","body":"I run wholesale operations for a consumer products brand. Solo. I'm going to describe the job in detail, because most posts here are from devs and I think ops people are hitting a completely different set of walls.\n\n**What my job actually is**\n\nEvery day I'm doing some mix of:\n\n* **Loading purchase orders into Shopify** in a very specific way, so the 3PL's software processes them without a human having to rebuild the order by hand. Get one line wrong and someone in the warehouse has to redo it.\n* **Sending a prioritized dispatch list to the warehouse** — which paid orders ship today, in what order, based on what's actually in stock and who's been waiting longest.\n* **Writing recaps and status updates to my boss** (Head of Ops) — what shipped, what's stuck, what needs a decision.\n* **Filling out retailer forms** — Walmart, Target, Home Depot, Petco, Faire, and others. Item setup sheets. Case pack, pallet config, dimensions, UPCs, SKU codes. Every retailer wants the same data in a different format, and a wrong number here means a rejected item setup and weeks lost.\n* **Vetting inbound wholesale leads** and drafting replies.\n* **Onboarding new wholesale accounts.**\n* **Handling compensation when an order ships late** and a customer escalates.\n\nAlmost everything I produce contains hard data — a SKU code, a quantity, a price, a ship date, a PO number — and almost everything goes to a third party. A retailer. A customer. My boss. There is no \"eh, close enough\" tier in this job. A hallucinated SKU code doesn't get caught in code review. It gets caught six weeks later when a retailer rejects the item setup.\n\nThat's the context. Here's what's killing me.\n\n\n\n**Problem 1: The verification tax eats the entire time savings**\n\nFor **every single output** Claude gives me, I have to verify it. Not skim it. Verify it.\n\nI've had to build an entire defensive apparatus around this:\n\n* A mandatory SKU-verification step that checks every product code against my master source of truth before it's allowed to appear in any deliverable — because Claude confidently produced assets with the wrong codes.\n* A \"firewall\" rule that nothing gets asserted as fact unless it was checked against a live source (Shopify, Slack, email) with a timestamp, and everything else gets explicitly labeled as an assumption.\n* A verification skill that spins up **two adversarial subagents** to attack the draft before anything with a number or a commitment in it leaves my hands.\n\nThink about what that means. To get one trustworthy message out, I'm running the work, then running a review pass, then running two more agents whose only job is to find where the first one lied. And I *still* read the output line by line myself.\n\nAt that point, what did I save? I've turned a 10-minute task into a 10-minute task with more steps and more tokens.\n\nAnd I want to be clear: the verification layers **work**. They catch real errors. That's the damning part. If they weren't catching anything I'd delete them. They catch things constantly, which tells me the base output can't be trusted, which means I can never remove the scaffolding.\n\n**Problem 2: It has no idea what I already did**\n\nThis is maybe the most maddening one.\n\nI have Slack, Gmail, Shopify, and Drive connected. Claude can read all of them. And yet it constantly tells me to do things I already did — three days ago, in that same Slack channel, in a thread it could have read.\n\nIt proposes I message the warehouse about an order I already dispatched. It drafts a follow-up to a lead I already replied to. It lists a \"pending item\" that was closed on Thursday.\n\nThe tools are connected. The history is right there. But there's no persistent model of *what actions have already been taken*. Every session starts from amnesia, and unless I manually re-explain the state of the world, I get recommendations from a parallel universe.\n\nThe fix I've been forced into: writing my own handoff notes at the end of every session so the next session can catch up. **I am doing manual memory management for the AI.** That's backwards. That's the thing it was supposed to do for me.\n\n**Problem 3: Scheduled tasks die on authentication and I don't find out**\n\nI've set up scheduled tasks to run recurring work — the dispatch queue, the daily lead sweep, order risk checks.\n\nThey hang. Constantly. Almost always on logging into some platform. The session sits there stuck on an auth wall, or a session token expired, or a login page needs a click nobody's there to make.\n\nAnd the worst part isn't that it fails. It's that **it fails quietly**. I find out hours later when I go looking for output that never came. A scheduled task I can't trust to either succeed or loudly fail is worse than no scheduled task, because now I'm checking on the thing that was supposed to remove checking from my day.\n\n**Problem 4: \"Done\" doesn't mean done**\n\nRelated to the above but broader. I get told a task is complete when it isn't. I get told something was verified when it was pattern-matched. I get a confident summary built on a stale note instead of the live system.\n\nThis is exactly why I wrote a standing rule into my setup — *check the live source before you call something pending, valuable, or quick; label verified vs. assumed* — and I have to enforce it constantly, because the default behavior is to sound certain.\n\nConfidence is not correlated with correctness, and I have no signal to tell the two apart without doing the work myself. Which is the whole problem.\n\n\n\n**What I actually want**\n\nI want Claude to be **an employee.**\n\nNot an assistant that drafts things I then audit. An employee. Meaning:\n\n1. **It knows what it already did.** Persistent, reliable state across sessions and across tools. If it messaged the warehouse on Tuesday, it knows that on Thursday without being told.\n2. **It checks before it claims.** Reading from the live system should be the default, not something I have to demand in a system prompt and then police.\n3. **It tells me when it's unsure** instead of producing a confident wrong answer. I would take \"I couldn't verify this SKU, here's where I looked\" over a clean-looking deliverable with a fabricated code in it, a hundred times out of a hundred.\n4. **Its scheduled work either runs or screams.** Silent failure is unacceptable for anything recurring.\n5. **I can eventually remove some of the scaffolding.** Right now every layer I've built is load-bearing.\n\n**What I'm asking this sub**\n\nReal questions, in order of how much they'd change my life:\n\n1. **Has anyone actually solved the \"what did I already do\" problem?** Not memory of preferences — memory of *actions taken*. Some kind of persistent action log the model reliably reads and writes. If you've built this, I want to know how.\n2. **What do you do about auth on scheduled/unattended runs?** Anything that survives token expiry and doesn't need a human to click a login button? And how do you get loud failure notifications instead of silence?\n3. **Is adversarial multi-agent verification the actual answer, or am I over-engineering?** I've got two adversarial verifiers plus a source-check rule. Is that what a serious setup looks like, or is there a leaner pattern that gets the same reliability?\n4. **For structured data with zero error tolerance** — SKUs, dims, case packs, prices going into retailer forms — is there a pattern better than \"make the model check a master table\"? Should this just not be an LLM task at all, and I should be building deterministic tooling with the model only wrapping it?\n5. **Anyone in ops, not engineering, running this at real trust levels?** If you've gotten to a place where you actually let it act without reading every line, I want to hear what that took. And if you haven't, honestly, I want to hear that too — because right now I can't tell if I'm doing this wrong or if the trust I want doesn't exist yet.\n\nI'm not looking to dunk on the product. I've clearly gone deep on it — custom skills, connected tools, scheduled tasks, verification layers, the whole thing. That's precisely why the gap is so frustrating. I can see what it *should* be from here, and the last mile between \"useful drafting tool\" and \"colleague I can delegate to\" is the entire mile that matters.\n\nAny pointers appreciated.","offTopic":true},{"id":"b8247709-229d-4586-bd07-f8006caccd8a","excerpt":" — Ok, I've been running it for a couple hours and below are my thoughts. Please note that I do find it fascinating even if most of what I'm about to say is complaining about the parts I like less.

- Pipelines, not agents. Roles, not agents. I really don't like the idea of defined agents with their own","url":"https://news.ycombinator.com/item?id=49400442","role":"pain","weight":1.0169423,"occurredAt":"2026-08-22T14:57:29.000Z","sourceKey":"hackernews","sourceName":"Hacker News","credibility":0.7,"venue":"news","intent":"feature_request","painScore":0.41569692,"sentiment":0,"confidence":0.7183333,"matchedPatterns":["terrible","missing_feature"],"statement":"- Speaking of missing notifications, the _most important_ screen to me is the Ask Me tab under Michael , where they ask questions (more on that later) but there is zero indication that anything is waiting for you.","title":null,"body":"Ok, I've been running it for a couple hours and below are my thoughts. Please note that I do find it fascinating even if most of what I'm about to say is complaining about the parts I like less.

- Pipelines, not agents. Roles, not agents. I really don't like the idea of defined agents with their own prompt. I want to define roles and spin up N agents with that role. Furthermore I want pipelines "Plan -> Review Plan -> Approval Gate -> Develop -> Code Review + Fix loop -> QA -> Approval Gate -> Merge -> [Ship]". I don't like the work just bouncing around seemingly randomly

- Settings don't seem to save/persist? Or some of them don't. I couldn't let "Michael" spin up agents on "his" own and then randomly he did it even though the setting was still off. Settings has the normal LLM jank I've seen.

- macOS Notifications are broken, they send for any little reason, and then they don't send when you're actually needed. It's like each agent finishing a round causes a notification.

- Speaking of missing notifications, the _most important_ screen to me is the "Ask Me" tab under "Michael", where they ask questions (more on that later) but there is zero indication that anything is waiting for you. You have to dig into it yourself.

- The "Ask Me" tab is great.... when it works. I've had to unstick agents or answer questions they were waiting on answers for

- Trying to be too cute, it was cute for a minute, now I don't care (and I _love_ The Office). I want a more utilitarian view. I want to see questions, plans, be able to inject new ideas, and a small overview of what each agent is doing. I don't need half the screen taken up with a "game ui".

- Why no clear? I don't understand at all the idea of them keeping context. Maybe I'm missing something and I shouldn't be using persistent agents except for more persistent jobs (like Michael's?).

It's an interesting concept, very "Gas Town", and it make me want to write my own that does more of what I'm looking for but I don't have the time (or tokens) currently to take on another project. My current best approach of herdr+6-10 Claude Code sessions feels like it works better than this and keeps me close enough to the decisions I want to make.","offTopic":true},{"id":"0443d424-be19-49cd-a2b2-8ffd21db2877","excerpt":"Burned €85 in 30 mins on a single prompt. Let’s talk about the brutal economics of AI inference. — *Not another credit rant—a genuine question about the macro-economics of AI.*\n\nI’m a Claude Pro user and recently got an €85 credit for Fable. I decided to throw a complex task at it. \n**30 minutes later, the €85 credit ","url":"https://www.reddit.com/r/ClaudeAI/comments/1v48v4p/burned_85_in_30_mins_on_a_single_prompt_lets_talk/","role":"pain","weight":1.1664608,"occurredAt":"2026-07-23T09:28:16.000Z","sourceKey":"reddit","sourceName":"Reddit","credibility":0.62,"venue":"ClaudeAI","intent":"problem_report","painScore":0.6,"sentiment":-0.6,"confidence":0.72903794,"matchedPatterns":["manual_process"],"statement":"**30 minutes later, the €85 credit was completely gone.** The prompt didn't even finish executing, and it left behind a bug that I had to manually bounce over to Opus to fix.","title":"Burned €85 in 30 mins on a single prompt. Let’s talk about the brutal economics of AI inference.","body":"*Not another credit rant—a genuine question about the macro-economics of AI.*\n\nI’m a Claude Pro user and recently got an €85 credit for Fable. I decided to throw a complex task at it. \n**30 minutes later, the €85 credit was completely gone.**\n\nThe prompt didn't even finish executing, and it left behind a bug that I had to manually bounce over to Opus to fix.\n\nNow, I’m not writing this to complain about losing credit or a buggy output—that's just early-adopter territory. \n\nWhat hit me hard was the **unsubsidized cost of agentic workflows** staring us in the face.\n\n**Doing the napkin math:** \n**1 heavy prompt/agent run:** \\~€100 \n**A moderate daily workflow:** 5 to 10 agentic prompts a day = **€500–€1,000 / day** \n**Annual cost per dev:** **\\~€125k to €250k / year** *just in AI inference costs*.\n\n**The Market Disconnect** \nWhere does this leave the market once the venture capital subsidies dry up and we have to pay true cost?\n\n**The 1% Tech Bubble:** Sure, companies like Nvidia, OpenAI, or top-tier Big Tech firms paying devs $400k+ might stomach a $200k/year tool bill if it doubles output.\n\n**The Rest of the World:** Across Europe and most global markets outside Silicon Valley, a solid senior software engineer might make €50k–€80k a year. How does an enterprise justify an AI tooling budget that is **2x to 4x the actual salary** of the human using it?\n\n**The \"Cul-de-Sac\" Dilemma** \nIt feels like AI research and product design are heading into a massive structural wall: \nThe capability to build complex, multi-step agentic workflows exists (or is very close). \nBut running them at scale is prohibitively expensive for 95% of the global software industry. \nAI labs are spending hundreds of billions in CapEx on hardware, but the vast majority of the potential addressable market *literally cannot afford* the unit economics required to pay that back.\n\nUnless inference costs drop by 99% before the CapEx bill comes due, who is supposed to fund this ecosystem? \nAre we looking at an inevitable pricing wall where \"true\" AI agents remain locked behind elite enterprise tiers forever, or is the market massively overestimating what buyers are willing to pay per prompt?\n\nCurious to hear how folks working on the enterprise or infra side view this.","offTopic":false},{"id":"8f4afc08-21e2-4646-9d47-e2191932578f","excerpt":"What are the Solution after hitting Claude Code’s daily limit? — I pay for Claude Code and use it daily on a real project, but I often hit the limit in the middle of a task. Switching to Codex is also frustrating because the context does not carry over cleanly.\n\nI tried LangGraph, Kungfu as alternatives.\n\nLangGraph is ","url":"https://www.reddit.com/r/ClaudeCode/comments/1vv5twj/what_are_the_solution_after_hitting_claude_codes/","role":"demand","weight":1.1087371,"occurredAt":"2026-08-22T07:32:35.000Z","sourceKey":"reddit","sourceName":"Reddit","credibility":0.62,"venue":"ClaudeCode","intent":"purchase_intent","painScore":0.32444444,"sentiment":-0.11111111,"confidence":0.8371337,"matchedPatterns":["looking_for","frustrating","would_pay"],"statement":"I pay for Claude Code and use it daily on a real project, but I often hit the limit in the middle of a task.","title":"What are the Solution after hitting Claude Code’s daily limit?","body":"I pay for Claude Code and use it daily on a real project, but I often hit the limit in the middle of a task. Switching to Codex is also frustrating because the context does not carry over cleanly.\n\nI tried LangGraph, Kungfu as alternatives.\n\nLangGraph is great when I need structured workflows, retries and clear task steps. The downside is that I have to build and maintain most of the system myself.\n\nKungfu is better for running and tracking multiple coding tasks at once. It feels closer to a complete workspace, but it is still early and I have run into rough edges.\n\nNone of them fully replaces Claude Code yet. I am mainly looking for a way to keep working after hitting the daily limit without losing the project context.\n\nWhat do you use in practice when Claude Code runs out for the day?","offTopic":false},{"id":"647e320c-5273-4110-80db-6895105a46fc","excerpt":" — Learning how to use documentation for/with AI has been the story of my last year+. I don't have the technical background you do but I've worked in product and project management, so I was never deep in code the way you've been.

I think the journey of figuring out how to actually create with AI ","url":"https://news.ycombinator.com/item?id=48983969","role":"request","weight":0.87533337,"occurredAt":"2026-07-20T19:49:09.000Z","sourceKey":"hackernews","sourceName":"Hacker News","credibility":0.7,"venue":"news","intent":"feature_request","painScore":0.3,"sentiment":0,"confidence":0.67333335,"matchedPatterns":["wish","manual_process"],"statement":"I wish I had documented more of my lessons-learned the way you have.","title":null,"body":"Learning how to use documentation for/with AI has been the story of my last year+. I don't have the technical background you do but I've worked in product and project management, so I was never deep in code the way you've been.

I think the journey of figuring out how to actually create with AI has been as interesting as what I'm able to create. I wish I had documented more of my lessons-learned the way you have. The biggest challenge I've found is that, as you mentioned, AI often thinks more equals better. So I had to learn when "comprehensive" meant subtracting over adding. Of course, there was also the practical reason, that more documentation meant more tokens used up - more context consumed - for a given task.

As far as files and rules, since I like seeing things visually structured, I've had luck creating temporary html files that visually capture the structure (files and rules) of a given effort. I use that as my visual map and it's what I have Claude use for its own understanding. It reduces the need for reading entire docs but it also forces me and the AI to stay structured. I also mirror this in that (as of late) I use Cowork for the planning (i.e. the maintenance of that visual mapping) and Claude Code (in a completely separate instance) to run the task(s) and, in the end, pass the lessons-learned over to Cowork manually. Otherwise if they were one "mind" e.g. when I would use Claude Code to coordinate AND code, it would always add more information to its memory and it would get out of hand very quickly. Ultimately, the key for me was understanding how AI uses structure. For example, when I started using Linear a couple of months ago - prior to which I had no "formal" project management system, all of the tags and labels and 'projects' (as Linear uses the term) really helped manage efficiency in productivity. I use Linear's MCP to connect to Cowork directly and always start sessions with reading 'project' titles, labels, priorities, etc. before diving into details for a given effort.","offTopic":true},{"id":"617952c0-47a6-49bc-a1df-935fc5f1b208","excerpt":"Doubt regarding the llms — Hey everyone,\n\nI'm currently working on a voice-based AI project for psychology education, where students interact with an AI that acts as a simulated patient for interview practice.\n\nOur current stack is:\n\n\\- STT: Sarvam\n\n\\- LLM: Claude Haiku 4.5\n\n\\- TTS: Sarvam Bulbul v3\n\nWe're currently in","url":"https://www.reddit.com/r/LLMDevs/comments/1vvb0dg/doubt_regarding_the_llms/","role":"demand","weight":1.0340946,"occurredAt":"2026-08-22T12:21:15.000Z","sourceKey":"reddit","sourceName":"Reddit","credibility":0.62,"venue":"LLMDevs","intent":"alternative_search","painScore":0.21,"sentiment":1,"confidence":0.8546236,"matchedPatterns":["i_need","alternative_to","currently_i_use"],"statement":"What would you recommend as an alternative to Claude Haiku 4.5 for this kind of application?","title":"Doubt regarding the llms","body":"Hey everyone,\n\nI'm currently working on a voice-based AI project for psychology education, where students interact with an AI that acts as a simulated patient for interview practice.\n\nOur current stack is:\n\n\\- STT: Sarvam\n\n\\- LLM: Claude Haiku 4.5\n\n\\- TTS: Sarvam Bulbul v3\n\nWe're currently in the MVP stage, so the stack is working reasonably well for testing. However, we're looking ahead at the full-scale version and I'm exploring alternatives.\n\nFor TTS, Sarvam works well for Indian/regional languages, but its English voice doesn't sound as natural as I'd like. I've been testing ElevenLabs, Gemini TTS, etc., and ElevenLabs currently seems much better to me for things that are important for our use case — natural pauses, hesitation, emotional delivery, anger, etc. I'm considering ElevenLabs for TTS/STT and would appreciate opinions on that.\n\nThe bigger question is the LLM. We're currently using Claude Haiku 4.5, and I like its conversational quality, but I'm concerned about the cost at larger scale. Since this project is specifically related to psychology, I need a model that is very good at following complex patient profiles, maintaining personality and emotional state, handling long conversations, and producing psychologically believable responses rather than generic AI answers.\n\nI've been looking at Gemini, GPT, Kimi, MiniMax, and some open-source models, but I'm not sure which would be the best fit.\n\nWhat would you recommend as an alternative to Claude Haiku 4.5 for this kind of application?\n\nAlso, if anyone has experience with ElevenLabs for both STT + TTS in a real-time voice application, I'd love to hear about the quality, latency, and cost compared with Sarvam.\n\nThanks!","offTopic":true},{"id":"c1a23e8c-c234-4d7b-af22-cd206a86cbd0","excerpt":" — The variance is extreme though. Thanks to Claude Code and Codex I've been able to make several non-trivial internal tools and libraries without writing much in terms of code, just some reviews here and there.

I spent a couple of days on those, and its would have taken me months to write manually I am sure, so","url":"https://news.ycombinator.com/item?id=49385318","role":"pain","weight":0.86840004,"occurredAt":"2026-08-21T08:24:02.000Z","sourceKey":"hackernews","sourceName":"Hacker News","credibility":0.7,"venue":"news","intent":"problem_report","painScore":0.56,"sentiment":-0.5,"confidence":0.5566667,"matchedPatterns":["manual_process"],"statement":"I spent a couple of days on those, and its would have taken me months to write manually I am sure, so in that regards it's close to 50x.","title":null,"body":"The variance is extreme though. Thanks to Claude Code and Codex I've been able to make several non-trivial internal tools and libraries without writing much in terms of code, just some reviews here and there.

I spent a couple of days on those, and its would have taken me months to write manually I am sure, so in that regards it's close to 50x.

I've also had Claude track down some logic issue in a module I was unfamiliar with which had very large and complicated flows. Would have taken me many days, since I did not have a reproducible case, so had to go by logs and customer description alone. I spent 5 minutes writing a prompt and when I checked back, Claude had identified the issue. The fix I had to implement myself, but was fairly easy. So there Claude definitely was a 100x increase in productivity.

Then there are cases where they're much more modest, or where they might even be negative, when they think they're fixing stuff but actually are introducing more bugs.","offTopic":true},{"id":"47410d0d-c0c0-4851-beef-7d8bb35e1ace","excerpt":"Freelancers using Claude Code: What are you using for timesheets and invoicing? — I do contract product design work and I've moved from Figma to Claude and Claude Code a while ago, it's been great for the work and pretty bad for my invoices.\n\nI can't remember at the end of the month what I did (this has always been a p","url":"https://www.reddit.com/r/ClaudeAI/comments/1vi5ihd/freelancers_using_claude_code_what_are_you_using/","role":"demand","weight":1.017539,"occurredAt":"2026-08-07T16:33:07.000Z","sourceKey":"reddit","sourceName":"Reddit","credibility":0.62,"venue":"ClaudeAI","intent":"alternative_search","painScore":0.255,"sentiment":1,"confidence":0.81078804,"matchedPatterns":["switching_from","currently_i_use"],"statement":"I do contract product design work and I've moved from Figma to Claude and Claude Code a while ago, it's been great for the work and pretty bad for my invoices.","title":"Freelancers using Claude Code: What are you using for timesheets and invoicing?","body":"I do contract product design work and I've moved from Figma to Claude and Claude Code a while ago, it's been great for the work and pretty bad for my invoices.\n\nI can't remember at the end of the month what I did (this has always been a problem). Now it's even less visible with Claude. I find tools like toggl and Harvest pretty archaic and I never remember to turn on a timer. Other tools like Timing and WakaTime have graphs and can be creepy, there's a lot of graphs and things, but still have to remember what exactly I did for the client. I feel like it should \\~\\* just know \\*\\~ and I have a simple invoice generated at the end of the month.\n\nCurrently using some weird mix of Claude, Timing, Google Calendar, Zipbooks, and Daily.\n\nSo for anyone freelancing or contracting, that are using Claude or Claude Code:\n\n* Do you keep a running log as you go with other tools or are trying to figure it out at end of month? Or do I have a memory of a goldfish?\n* Do you even need to send your client timesheets? Are you still billing hourly?\n* Are current tools good enough? Or are they too robust and I'm just picky?","offTopic":true},{"id":"c08e4727-be2e-4c64-ab51-a28ccdc49e21","excerpt":"[TLDR] I think some Claude Code “usage is terrible” posts are really workflow problems [via r/ClaudeCode] — OP : u/OGMYT\n\nNot saying the limits aren't real because they obviously are.\n\nBut I keep seeing people run one giant session forever, dump everything into context, change the goal 5 times, never compact anything, ","url":"https://www.reddit.com/r/ClaudeCoding/comments/1vueeok/tldr_i_think_some_claude_code_usage_is_terrible/","role":"pain","weight":1.008508,"occurredAt":"2026-08-21T12:01:26.000Z","sourceKey":"reddit","sourceName":"Reddit","credibility":0.62,"venue":"ClaudeCoding","intent":"problem_report","painScore":0.75,"sentiment":-0.6,"confidence":0.57629025,"matchedPatterns":["terrible"],"statement":"[TLDR] I think some Claude Code “usage is terrible” posts are really workflow problems [via r/ClaudeCode].","title":"[TLDR] I think some Claude Code “usage is terrible” posts are really workflow problems [via r/ClaudeCode]","body":"OP : u/OGMYT\n\nNot saying the limits aren't real because they obviously are.\n\nBut I keep seeing people run one giant session forever, dump everything into context, change the goal 5 times, never compact anything, then wonder why Claude starts wandering and chewing through usage.\n\nI get way better results when I treat it like I'm directing somebody. Small scope, tell it what finished means, make it test the result, then compact or hand off before starting the next thing.\n\nWhen I don't do that, it gets dumb fast for me too.\n\nHow much of the usage problem do you think is actually limits vs people managing context badly?\n\nURL of original post : https://www.reddit.com/r/ClaudeCode/comments/1vtvv0f/i_think_some_claude_code_usage_is_terrible_posts/\n\n---\n\n**TL;DR of the discussion on r/ClaudeCode for this post generated automatically after 50 comments.**\n\nCurrent source-thread comment count seen by the bot: 50.\n\nAlright, so the general vibe in this thread is that **most of the \"Claude Code is terrible\" complaints are actually user workflow problems, not inherent model limitations.**\n\nA lot of folks, like u/JDE-Projects and u/rotates-potatoes, are saying that people complaining about usage limits or Claude getting \"dumb\" are just dumping everything into one giant session, changing goals constantly, and not managing the context effectively. They're arguing that if you treat Claude like a directed assistant with clear goals and break down tasks, you'll have way fewer issues. u/Educational-Plant981 is pretty firm on this, saying that once you learn to use it right, you know *exactly* why you'd hit a limit.\n\nThere's a strong sentiment that many of these complaints are just \"karma farming\" or from people who don't understand token efficiency at all, as u/Delicious-Life3543 points out. Some users, like u/spinozasrobot, are just over the constant whining.\n\nHowever, it's not a *complete* consensus. u/Fearless-Daikon5763 and u/SirWobblyOfSausage bring up that there have been times when Anthropic *did* acknowledge serious faults, so it's not *always* the user's fault. u/The-Road also mentions that for complex tasks like policy validation, you can't just \"vibe\" and need proper testing, implying some legitimate complexity exists. And u/FreeCustardForAll and u/Fit-Wrongdoer-7664 share specific experiences where they *did* hit unexpected limits or observed odd behavior, suggesting there might still be edge cases or changes in model performance that aren't purely workflow related.\n\nBut the overwhelming takeaway? **Learn to manage your context and break down your tasks, and you'll probably be fine.** Most of the issues seem to stem from people not using the tool efficiently.","offTopic":true},{"id":"93b97d13-5eb6-424f-8556-b0a0de80f90a","excerpt":" — This is actually nonsense. More tokens means more capacity subscription and expense. Anthropic has enjoyed a high premium per million tokens because the quality per token was unusually high. Now it’s unusually low. This drives down the margin people will be willing to pay for the same number of tokens while driving ","url":"https://news.ycombinator.com/item?id=49405875","role":"request","weight":0.7876667,"occurredAt":"2026-08-23T03:33:57.000Z","sourceKey":"hackernews","sourceName":"Hacker News","credibility":0.7,"venue":"news","intent":"problem_report","painScore":0.36,"sentiment":1,"confidence":0.57916665,"matchedPatterns":["manual_process"],"statement":"I actually manually set my model back to the older versions to get anything serious done.","title":null,"body":"This is actually nonsense. More tokens means more capacity subscription and expense. Anthropic has enjoyed a high premium per million tokens because the quality per token was unusually high. Now it’s unusually low. This drives down the margin people will be willing to pay for the same number of tokens while driving up their capacity utilization. The economics are even worse for subscriptions.

Opus models have degraded rapidly since March, with each release being considerably less useful and considerably more verbose. The language is no so weirdly florid it’s difficult to understand, and its logical conclusions are almost always suspect. It goes off on clearly bizarre snipe hunts to the point it feels like I’m using a gpt 3 model at times. It’ll announce that it’s about to embark on building something then just return control to the user and wait. You can also tell perceptibly when they’re reducing model quality to load shed - it becomes stupider and stupider to the point you’re better off dumping state and switching to codex or just turning in for the day and hoping they secured more capacity tomorrow.

It’s an absolute race to the bottom with Anthropic on virtually every level. I’ve rarely seen a company so rapidly accumulate good will in the developer community as they did around 4.6 in December and January. By March, it was inconceivable to use anything else. 4.8 was a bit of a wake up call to not put all your harness eggs in one basket. 5 is straight up time to cancel territory.

I actually manually set my model back to the older versions to get anything serious done. More and more I use codex for anything non trivial.

This isn’t about avarice by the provide trying to get more tokens and more utilization. They’ve over subscribed for capacity as it is. If they can produce better quality for less tokens they can charge a higher margin and will be paid if, which is a better economic strategy overall. This is something else. I suspect it’s actually the opposite, they’re finding ways to cut capacity demand in ways that leads to worse behavior that leads to more capacity demands, worse output, worse quality, and worse margins, worse, worse, worse.

Just as I never saw a company accumulate such positive developer good will so fast, I’ve never seen one squander it so fast too.","offTopic":true},{"id":"23ad190a-92a8-4673-8612-1e2304245982","excerpt":"Looking for affordable alternatives to Claude Team / Claude Code for a small dev team (heavy agentic usage) — We run a small software services company and we’ve been heavily using Claude (especially opus + Code features) for the last few months.\n\nThe problem is:\n\n* We need to share the account between 6-8 developers\n* ","url":"https://www.reddit.com/r/cursor/comments/1tc9hwv/looking_for_affordable_alternatives_to_claude/","role":"demand","weight":1.0016047,"occurredAt":"2026-05-13T19:07:13.000Z","sourceKey":"reddit","sourceName":"Reddit","credibility":0.62,"venue":"cursor","intent":"alternative_search","painScore":0.255,"sentiment":0.8333333,"confidence":0.7980914,"matchedPatterns":["alternative_to","free_tier"],"statement":"Looking for affordable alternatives to Claude Team / Claude Code for a small dev team (heavy agentic usage).","title":"Looking for affordable alternatives to Claude Team / Claude Code for a small dev team (heavy agentic usage)","body":"We run a small software services company and we’ve been heavily using Claude (especially opus + Code features) for the last few months.\n\nThe problem is:\n\n* We need to share the account between 6-8 developers\n* Anthropic keeps suspending our Max/Team account for “suspicious usage” / multiple logins\n* Even if they didn’t suspend us, the Team plan would cost us $1000+ per month easily\n\nWe do a lot of agentic work: large codebases, multi-file refactoring, full feature implementation, etc.\n\n**What we’re looking for:**\n\n* Reasonable per-user or team pricing (ideally under $50/user)\n* Good agentic / multi-file editing capabilities\n* Preferably pooled usage credits so heavy users don’t kill the whole team’s quota\n* Works well with large codebases\n\nSo far I’ve tried:\n\n* Cursor Teams ($40/user), looks promising but worried about the $20 credit limit per user\n\nWhat are you guys actually using for heavy daily AI coding in a team setting?\n\nAny recommendations (especially Self Hosted open source models) would be really helpful.\n\nThanks!","offTopic":false},{"id":"5835fef5-bd0f-4dea-b90e-637ca7bafcb7","excerpt":"Finally an alternative to Cursor — I’ve actually really been content with Cursor and Composer 2.5 for the past while for full stack dev (Typescript). It’s super fast, and generally gets things 95% of the way there.\n\nBut I already have been paying for a Google AI Pro subscription, so decided to try out Antigravity to se","url":"https://www.reddit.com/r/google_antigravity/comments/1vvdysj/finally_an_alternative_to_cursor/","role":"demand","weight":1.0011767,"occurredAt":"2026-08-22T14:31:26.000Z","sourceKey":"reddit","sourceName":"Reddit","credibility":0.62,"venue":"google_antigravity","intent":"alternative_search","painScore":0.32658184,"sentiment":0.4117647,"confidence":0.7547041,"matchedPatterns":["alternative_to","missing_feature"],"statement":"Finally an alternative to Cursor.","title":"Finally an alternative to Cursor","body":"I’ve actually really been content with Cursor and Composer 2.5 for the past while for full stack dev (Typescript). It’s super fast, and generally gets things 95% of the way there.\n\nBut I already have been paying for a Google AI Pro subscription, so decided to try out Antigravity to see if I could consolidate things and save about 350CAD a year.\n\nI’ve been working with the Antigravity IDE for a week now and just tried VSCode with the Antigravity extension and love that it has all the same shortcuts as the IDE. Really happy I tried it out, seems to be working great for me, and VSCode is also of course very familiar and nice to work in (After I disabled all the Copilot/login fluff).\n\nAlso finding very similar speed and quality between Gemini 3.7 Flash and Composer. That being said, it seems right now I have a “limited time” Fast mode enabled. Not sure how long that lasts or what the true cost will be.\n\nAnyway, It’s good to have alternatives. I feel 10x more productive with these tools (Cursor and Antigravity) and am cruising through my backlog of really hard problems.\n\nETA: a few things I am missing from Cursor is a clearer token usage meter (session token usage I mean) to see when the model is about to start hallucinating, but also missing the auto context compression. I can run a long time in one chat session in Cursor but with antigravity I have to restart in a new chat session or It starts doing stupid things.","offTopic":true},{"id":"406c17a3-9f38-49b9-8033-a02c3779b9ad","excerpt":" — Fair question.

Reason we opened TrueForge is most open harnesses out there do one of these 2 things:\n1. Either a CLI coding agent that's great for individual devs \n2. A framework that you assemble during runtime

That's the gap we're looking to solve. TrueForge provides full runtime. Build agents v","url":"https://news.ycombinator.com/item?id=49385676","role":"pricing","weight":0.7793333,"occurredAt":"2026-08-21T09:17:37.000Z","sourceKey":"hackernews","sourceName":"Hacker News","credibility":0.7,"venue":"news","intent":"pricing_complaint","painScore":0.12,"sentiment":1,"confidence":0.6958333,"matchedPatterns":["free_tier","praise"],"statement":"Build agents via UI/APIs, run them self-hosted with an out-of-the-box sandbox, MCP tools, approvals, session traces.","title":null,"body":"Fair question.

Reason we opened TrueForge is most open harnesses out there do one of these 2 things:\n1. Either a CLI coding agent that's great for individual devs \n2. A framework that you assemble during runtime

That's the gap we're looking to solve. TrueForge provides full runtime. Build agents via UI/APIs, run them self-hosted with an out-of-the-box sandbox, MCP tools, approvals, session traces.

Also, we benchmarked ourselves against popular harnesses like Claude Managed Agents and deepagents; and we're significantly cheaper at similar accuracy because of the context engineering.

Would love it if you're check the repo. We're actively working on improving the core harness further in the coming weeks!","offTopic":true},{"id":"27ef2b22-73a0-48e5-bb4f-d74b1abbc4b9","excerpt":"i tried fixing deepseek harness forgetting everything between sessions — been using DeepSeek Harness for a while, and spent most of this year assuming a better model would fix the state and reliability problems I was running into. wrong assumption.\n\nswapping models changed nothing because the issue was never LLM reason","url":"https://www.reddit.com/r/DeepSeek/comments/1vw0i8b/i_tried_fixing_deepseek_harness_forgetting/","role":"pain","weight":0.9579166,"occurredAt":"2026-08-23T07:25:16.000Z","sourceKey":"reddit","sourceName":"Reddit","credibility":0.62,"venue":"DeepSeek","intent":"problem_report","painScore":0.5418182,"sentiment":-0.45454547,"confidence":0.62129027,"matchedPatterns":["manual_process"],"statement":"as a dev, nothing burns me out faster than manually re-feeding context.","title":"i tried fixing deepseek harness forgetting everything between sessions","body":"been using DeepSeek Harness for a while, and spent most of this year assuming a better model would fix the state and reliability problems I was running into. wrong assumption.\n\nswapping models changed nothing because the issue was never LLM reasoning. the model would happily repeat finished steps or start a task from scratch with zero awareness that we were halfway through it in the previous session.\n\nas a dev, nothing burns me out faster than manually re-feeding context. every time I opened a fresh session, all previous progress was gone, including stack constraints, code choices, and architecture decisions. I was acting as a human copy-paste proxy for a system that refused to hold state.\n\nthe root cause was relying on a single raw session without a persistent memory layer.\n\nto handle local context loading without adding third-party cloud tools or new API keys, I installed the MemOS Local Plugin into my DSH profile using its Cordis plugin system.\n\nit hooks into DSH natively without modifying source code and reuses the existing model provider and API credentials already configured in DSH.\n\ninstallation was straightforward. macOS and Linux use a one-line bash script. on Windows, if pnpm throws an ERR\\_PNPM\\_IGNORED\\_BUILDS error, running pnpm approve-builds --all inside the profile folder fixes it immediately.\n\nI saved my baseline stack rules in session one:\n\nFor my Python projects, remember these preferences:\n\nUse Python 3.12 by default.\n\nPrefer uv over pip for dependencies.\n\nKeep code examples short and runnable.\n\nIf there are several ways to do something, prefer the simpler one with less maintenance.\n\nI closed the process and opened a blank session to verify if the plugin injected stored state during the first model step. A new project prompt automatically used Python 3.12 and uv without any prompt setup.\n\nI also tested a negative constraint by telling it not to recommend Docker Compose. In the next session, it skipped Docker Compose completely and provided direct local scripts instead.\n\nwhen a session ends, it automatically summarizes execution traces and decisions in the background, making them searchable for future prompts.\n\ntwo operational details to keep in mind:\n\nfirst, clean up junk data. if you store every temporary debug log or throwaway script, your index gets cluttered. use the local MemOS Viewer UI to remove obsolete entries.\n\nsecond, manage outdated rules. when switching stack choices on a new repo, explicitly override the old preference or delete the old entry in the viewer UI to prevent the plugin from pulling conflicting instructions into your prompt.\n\nif using DSH alongside tools like Cursor, could route memory through Memmy to sync across agents. For a single local profile, the local plugin is sufficient. the session is new. the context keeps! fixed it!","offTopic":true},{"id":"ab3f058c-a595-4996-b1a7-30f42c26f539","excerpt":" — It does visibly use a few more tokens in the short term. But it hurts Claude's ability in the long term if removed because it has to either think more every time it encounters that section in the code (more invisible thinking tokens used), or there's an increased risk of making a maladaptive ","url":"https://news.ycombinator.com/item?id=49400824","role":"request","weight":0.75706667,"occurredAt":"2026-08-22T15:36:57.000Z","sourceKey":"hackernews","sourceName":"Hacker News","credibility":0.7,"venue":"news","intent":"problem_report","painScore":0.36,"sentiment":0,"confidence":0.5566667,"matchedPatterns":["manual_process"],"statement":"Heck I've been bitten enough times already by it, though more recently it's cross project concern where Claude rediscovers some root cause that was already found and documented (I have it save a centrally-located writeup for thin…","title":null,"body":"It does visibly use a few more tokens in the short term. But it hurts Claude's ability in the long term if removed because it has to either think more every time it encounters that section in the code (more invisible thinking tokens used), or there's an increased risk of making a maladaptive change without context. Heck I've been bitten enough times already by it, though more recently it's cross project concern where Claude rediscovers some root cause that was already found and documented (I have it save a centrally-located writeup for things that took serious work to learn, when I remember, but I still need to make that knowledge pool known to other agents/sessions without having to manually prompt each time) elsewhere.

Problem is today's LLMs don't have the long term memory that humans have, and so remembering the reason behind a given change/decision has to be preserved in some way if it's non-obvious. Hence why there is {AGENTS|CLAUDE}.md, the auto-memory system, and 1001 variants of memory implementations in the wild. All are trying to ensure that LLMs can have the context they need at the location and time they need it. And you want to block Claude from using a technique that it natively finds helpful.","offTopic":true},{"id":"fd3001a9-9b67-4a62-868a-162aa2af70f8","excerpt":"Looking for a cheaper alternative to ElevenLabs for long conversations and huge context layer — I’m building a voice-first companion for older people, and I’ve been using ElevenLabs for the voice. I’m happy with the quality , the voice feels human and natural, and for our use case that makes a huge difference. People u","url":"https://www.reddit.com/r/VoiceAutomationAI/comments/1v9olwe/looking_for_a_cheaper_alternative_to_elevenlabs/","role":"demand","weight":0.93698287,"occurredAt":"2026-07-29T07:04:51.000Z","sourceKey":"reddit","sourceName":"Reddit","credibility":0.62,"venue":"VoiceAutomationAI","intent":"alternative_search","painScore":0.195,"sentiment":0.11111111,"confidence":0.7840861,"matchedPatterns":["looking_for","alternative_to"],"statement":"Looking for a cheaper alternative to ElevenLabs for long conversations and huge context layer.","title":"Looking for a cheaper alternative to ElevenLabs for long conversations and huge context layer","body":"I’m building a voice-first companion for older people, and I’ve been using ElevenLabs for the voice. I’m happy with the quality , the voice feels human and natural, and for our use case that makes a huge difference. People use Ecos to talk about their day, share memories, journal, have regular check-ins, or sometimes simply have someone to talk to.\n\nThe problem is that these are not short customer-support calls. Conversations can go on for a long time, and ElevenLabs starts getting very expensive as usage increases.\n\nI don’t want to compromise too much on how natural the voice feels, because that is a big part of the experience, but I’m trying to understand whether there are more affordable options.\n\nHas anyone here used Cartesia, Smallest AI, Deepgram, or any other provider for long, real-time conversations?\n\nWould love to know how the quality, latency, interruptions, and pricing compare in actual usage.","offTopic":false},{"id":"732fc279-e57f-4b59-b595-08a368e738ee","excerpt":"[TLDR] Why do most tech subs seem to hate Claude so much? [via r/ClaudeAI] — OP : u/Full-Initiative-9029\n\nI’m a senior developer working at a big tech company. Earlier this year, my company onboarded Claude for us to use at work.\n\nI was hesitant at first, but I was quickly impressed by how good Claude actually is. I’m ","url":"https://www.reddit.com/r/ClaudeCoding/comments/1vw5dgt/tldr_why_do_most_tech_subs_seem_to_hate_claude_so/","role":"pain","weight":0.926129,"occurredAt":"2026-08-23T12:01:31.000Z","sourceKey":"reddit","sourceName":"Reddit","credibility":0.62,"venue":"ClaudeCoding","intent":"feature_request","painScore":0.5466667,"sentiment":-0.46666667,"confidence":0.5987903,"matchedPatterns":["missing_feature"],"statement":"The complaints often boil down to a lack of skill, resistance to change, or valid but specific cost concerns.","title":"[TLDR] Why do most tech subs seem to hate Claude so much? [via r/ClaudeAI]","body":"OP : u/Full-Initiative-9029\n\nI’m a senior developer working at a big tech company. Earlier this year, my company onboarded Claude for us to use at work.\n\nI was hesitant at first, but I was quickly impressed by how good Claude actually is. I’m now a full-stack developer who can code in almost any language. Of course, the most important thing is giving Claude the full context, testing the code, and giving it immediate feedback. I’m honestly surprised by how quickly Claude can understand what I need and pick things up.\n\nHowever, in most of the tech/software engineering subs here, all I see are negative comments about Claude getting all the upvotes:\n\n“Claude broke our entire system and caused a massive outage.” \n“It’s so hard to debug when you didn’t write the code yourself.” \n“Claude is so expensive that management decided to cut it off.” \n“Claude wrote the worst code I’ve ever seen in my life.”\n\nFirst of all, isn’t it the developer’s responsibility to test Claude’s output?\n\nAs for debugging, you can literally tell Claude what went wrong and ask it to debug the issue itself.\n\nAnd Claude really isn’t that expensive compared to a developer, even a junior one. I’ve been shipping code like crazy using Claude, and it has only cost the company around $300.\n\nCan Claude write better code? Maybe. Can you also guide it to suit the coding style you expect? Absolutely.\n\nThe job has changed dramatically. We’ve gone from writing everything ourselves to guiding AI to write it for us. \nAm I afraid it will eventually replace me? Yes. \nDoes it also make me 10x more efficient and reduce the need for hiring? Absolutely.\n\nSometimes I just think Reddit is a massive doom-and-gloom bubble. And this is where the difference starts to show: people who are willing to adapt to a new way of working, and people who aren’t.\n\nURL of original post : https://www.reddit.com/r/ClaudeAI/comments/1vw1gfy/why_do_most_tech_subs_seem_to_hate_claude_so_much/\n\n---\n\n**TL;DR of the discussion on r/ClaudeAI for this post generated automatically after 50 comments.**\n\nCurrent source-thread comment count seen by the bot: 94.\n\nAlright, so the general vibe in this thread is that you're pretty much on the money, OP. The consensus is that the hate Claude gets in other tech subs is mostly overblown and stems from a few key issues:\n\n* **Skill Issue is the Big One:** A lot of folks agree that developers complaining about Claude writing bad code are likely not using it effectively. It's seen as a tool that amplifies existing skills, meaning if you're not great, it'll make your output worse, but if you're competent and know how to guide and review, it's a massive productivity booster. u/cyper83 even threw in that maybe Claude just writes code better than some of these complainers.\n* **Cost is a Valid Concern (Sometimes):** The only complaint that got some traction as being \"reasonable\" was the cost. While OP found it cheap for their company, others pointed out that for larger deployments across different skill levels, the costs can add up quickly, making it expensive compared to other models. u/SvenVargHimmel elaborated on this.\n* **The \"AI is Ruining Everything\" Crowd:** Some commenters feel that the negativity comes from people who are resistant to change, scared of being replaced, or simply don't understand how to leverage AI effectively. There's a sentiment that these folks are the \"boomers of the late 90s/2000s\" who were skeptical of new tech. u/OkBeautiful4392 echoed this, acknowledging the impact AI is having on the industry but distinguishing between hating the tool and hating the broader changes.\n* **Bad Actors and Misinformation:** A few users suggested that some negative posts might be intentionally misleading, written by competitors, or even hostile agencies trying to poison the well. u/Spare_Dependent6893 and u/salazka touched on this.\n* **It's a Tool, Not Magic:** The core idea is that Claude, like any AI, needs proper guidance, context, and rigorous testing. It's a \"text prediction engine,\" not a perfect developer, and expecting it to be flawless without human oversight is unrealistic. u/trollsmurf pointed out that the idea of developers testing AI output is just the reality of the 2020s.\n\nBasically, the thread leans heavily towards the idea that if you're a skilled developer who knows how to use Claude, you'll find it incredibly valuable. The complaints often boil down to a lack of skill, resistance to change, or valid but specific cost concerns.","offTopic":true},{"id":"bddb7eb3-42f5-4f94-8797-4861f80b8d13","excerpt":" — I don’t get Claude, and that’s almost exactly what I did - I dropped to Claude Pro $20 + Codex Pro $100, and then unsubscribed from Claude and ramped up Codex. The Claude Pro is consumed within an hour on a simple task. I wish only Codex worked a bit faster than on the Fast mode.

I used to rely on Fable for resear","url":"https://news.ycombinator.com/item?id=49397117","role":"request","weight":0.69026667,"occurredAt":"2026-08-22T06:24:02.000Z","sourceKey":"hackernews","sourceName":"Hacker News","credibility":0.7,"venue":"news","intent":"feature_request","painScore":0.24,"sentiment":1,"confidence":0.5566667,"matchedPatterns":["wish"],"statement":"I wish only Codex worked a bit faster than on the Fast mode.","title":null,"body":"I don’t get Claude, and that’s almost exactly what I did - I dropped to Claude Pro $20 + Codex Pro $100, and then unsubscribed from Claude and ramped up Codex. The Claude Pro is consumed within an hour on a simple task. I wish only Codex worked a bit faster than on the Fast mode.

I used to rely on Fable for research when it was first out, today it doesn’t seem to be much better than Opus, and it uses up the quota exceptionally fast - 1h Fable in a single short session, and there’s little left for Opus to hit the 5h limit in a second session. With Opus I get about 3-5h of relaxed use with a couple subagents to save the context, but there’s usually quite some disagreement between the subagents and orchestrator - Claude does some model routing with default agents and picks Haiku and Sonnet for subtasks - only later to disagree with them and redo the work - and burn extra tokens. With Claude, it’s really either Opus or Fable if you want some quality.

That said, their marketing is exceptionally effective. Virtually all nontech folks consider only Claude.","offTopic":false},{"id":"b772c850-31e1-418a-b8e3-2c8db76f398c","excerpt":"[TLDR] WHY THE FUCK IS OPUS 5 so fucking ass [via r/ClaudeCode] — OP : u/Academic-Brush-5575\n\nOpus 4.8 is like a huge downgrade for complex tasks and Fable 5 is overkill. Opus 5 should have been somewhere in between but its just so dumb. \nAny recommendations on how to use Opus 5 better and how do I delegate tasks? Whi","url":"https://www.reddit.com/r/ClaudeCoding/comments/1vueewu/tldr_why_the_fuck_is_opus_5_so_fucking_ass_via/","role":"request","weight":0.90399724,"occurredAt":"2026-08-21T12:01:41.000Z","sourceKey":"reddit","sourceName":"Reddit","credibility":0.62,"venue":"ClaudeCoding","intent":"feature_request","painScore":0.225,"sentiment":0.6666667,"confidence":0.73795694,"matchedPatterns":["how_can_i","missing_feature"],"statement":"u/williamtkelley and u/Poildek also called out the OP for the lack of detail in their post.","title":"[TLDR] WHY THE FUCK IS OPUS 5 so fucking ass [via r/ClaudeCode]","body":"OP : u/Academic-Brush-5575\n\nOpus 4.8 is like a huge downgrade for complex tasks and Fable 5 is overkill. Opus 5 should have been somewhere in between but its just so dumb. \nAny recommendations on how to use Opus 5 better and how do I delegate tasks? Which kind of tasks should I delegate to Opus 4.8 or Fable 5? \n\nSo, when is Claude coming up with a new and better model? I can't stand this shit anymore.\n\nURL of original post : https://www.reddit.com/r/ClaudeCode/comments/1vu94ou/why_the_fuck_is_opus_5_so_fucking_ass/\n\n---\n\n**TL;DR of the discussion on r/ClaudeCode for this post generated automatically after 50 comments.**\n\nCurrent source-thread comment count seen by the bot: 54.\n\nAlright, so the OP is having a massive meltdown about Opus 5 being \"ass\" and a downgrade, asking for tips and when a better model is coming. The general consensus from the thread? **It's a skill issue, fam.**\n\nMost users are calling out the OP for a vague, angry post and suggesting they need to get better at prompt engineering and managing their Claude setup.\n\nHere's the lowdown:\n\n* **\"Skill Issue\" is the prevailing vibe:** Multiple commenters, including u/novus_nl and u/Kekke77, are basically saying if you're struggling, the problem is likely with how you're using the model, not the model itself. u/williamtkelley and u/Poildek also called out the OP for the lack of detail in their post.\n* **Context Rot is a potential culprit:** u/Academic_Athlete_245 and u/RavenJe94 pointed out that accumulated \"Skills / mcp-servers / Claude.md\" can lead to performance issues. So, maybe clean up your act there?\n* **Proper Workflow is Key:** u/Future_Guarantee6991 and u/BankruptingBanks are stressing the importance of structured workflows, clear task delegation (or *not* delegating too much, per u/BankruptingBanks), and actually reading what Claude outputs.\n* **Other Models Exist:** If Opus 5 is really not your jam, u/Zafrin_at_Reddit suggests trying Qwen or ChatGPT, and u/ayla96 recommends Sonnet 5 for code implementation.\n* **Some users *are* finding Opus 5 useful:** u/usertiusertion and u/Dry_Opening_7231 (though with caveats) see it as an upgrade or more manageable than Fable 5, even if it has its own quirks. u/Dry_Opening_7231 notes it's great for reviews and debugging but tough as a planner.\n\nBasically, the thread is telling the OP to chill, learn the tool, and stop blaming the AI when the real issue might be their own workflow. No one's really agreeing that Opus 5 is a universal downgrade.","offTopic":false},{"id":"c91bab2b-ce26-40bc-b902-0234204cbd64","excerpt":"I asked Kimi for a refund after their agent harness burned ~600M tokens in 2 days, here's the full support chat, and what it says about the entire AI subscription mode — **TL;DR:** I subscribed to Kimi Code for heavy agentic development. A simple task (building a WHMCS module) triggered uncontrolled agent loops that co","url":"https://www.reddit.com/r/kimi/comments/1vw58ps/i_asked_kimi_for_a_refund_after_their_agent/","role":"pain","weight":0.9017318,"occurredAt":"2026-08-23T11:55:25.000Z","sourceKey":"reddit","sourceName":"Reddit","credibility":0.62,"venue":"kimi","intent":"feature_request","painScore":0.43407407,"sentiment":-0.18518518,"confidence":0.62879026,"matchedPatterns":["missing_feature"],"statement":"The report itself noted K3-256k pricing was missing, so even the reported cost is understated.","title":"I asked Kimi for a refund after their agent harness burned ~600M tokens in 2 days, here's the full support chat, and what it says about the entire AI subscription mode","body":"**TL;DR:** I subscribed to Kimi Code for heavy agentic development. A simple task (building a WHMCS module) triggered uncontrolled agent loops that consumed \\~500–600 million K3/K3-256k tokens on Aug 20–21 — the vast majority being cache reads, not real work. Weekly limits had also been quietly reduced. I requested a refund; support offered only a pro-rata credit and claimed \"no abnormal consumption.\" Below is the complete, unedited timeline — followed by a broader analysis of why the whole consumer AI subscription model works this way, and a technical breakdown of what went wrong with their harness.\n\n# Part 1: The Refund Saga — Complete Timeline\n\n**Aug 13:** I paid for the subscription (Invoice BLFNSYNT-0001, Receipt 2600-0013).\n\n**Aug 20–21:** Usage report shows \\~473M tokens (K3) on the 20th and \\~130M (K3-256k) on the 21st. Of the \\~500–600M total, **over 500M were cache reads** — the harness looping, repeatedly reprocessing the same context while making limited progress on a task that should have used a fraction of that. The report itself noted K3-256k pricing was missing, so even the reported cost is understated.\n\n**Aug 22:** I emailed a full refund request, citing reduced weekly limits (which others have also noticed — see the thread on r/kimi about limits being cut to \\~3/7 of previous capacity) and the harness burning my allowance on unsuccessful work.\n\n**Aug 23, 6:29 AM:** No response to the email, so I opened a support chat. The bot (K-Bot) asked for details, then my invoice number, then told me:\n\n>\"Please keep in mind that AI capabilities have inherent boundaries, and variations in output quality are normal. For this reason, refunds are generally not supported.\"\n\nFollowed by the classic tips: break tasks into smaller steps, give more detailed requirements, provide more context.\n\nI pushed back: I gave an exact plan for a specific module, and the harness kept eating the usage. The same task on a competitor's flagship model would have finished in \\~3 hours with allowance to spare.\n\n**6:34 AM:** Bot agreed to escalate to a human. Then: *\"Kimi will be back later today.\"* I asked for a human agent at 6:40, 6:48, 7:16, and 7:23 AM. Silence.\n\n**2:09 PM — nearly 8 hours later:** A human agent finally appeared and offered a **prorated refund based on remaining subscription days**, on the grounds that I had \"used benefits during the current subscription period.\"\n\n**5:56 PM:** After I sent a detailed analysis (below), support replied:\n\n>\"After verification, there has been no abnormal consumption of your credit limit during your usage period... we cannot provide you with a full refund and can only offer you a proportionate refund.\"\n\n**6:05 PM:** When I pointed out the two-day concentration and cache-dominated pattern, the response shifted to: the new model has stronger capabilities, tasks with long context and multi-step inference naturally consume more, and I should \"split long tasks or explicitly request short answers.\"\n\nLet that sink in: **the suggested fix for their harness running uncontrolled loops is for the user to ask shorter questions.**\n\n**My final position (7:00 PM):** Full refund, or I document the complete timeline publicly (this post), file a refund claim through Apple, and pursue it under applicable consumer protection and refund laws.\n\n# Part 2: Why This Isn't Just a Kimi Problem — The Subscription Model Is Designed This Way\n\n**The AI industry's subscription game is a deliberate fog of vague quotas, rolling windows, and silent throttle adjustments.** You pay a fixed monthly fee for \"premium access,\" only to discover the real product is rationed compute dressed up as unlimited intelligence.\n\n# How the metering actually works\n\nMajor consumer AI plans in 2026 operate through overlapping, largely non-transparent systems:\n\n* **Claude:** five-hour rolling window plus a weekly cap.\n* **ChatGPT:** per-model message caps over roughly three-hour windows, plus weekly limits on heavier reasoning models.\n* **Gemini:** \"compute quotas\" weighted by prompt complexity, features, and chat length.\n* **Grok:** meters by request type (Auto, Fast, Expert, Heavy, DeepSearch, media), each with rolling quotas.\n\nFor most users there is **no live, precise meter** showing what was consumed or what remains. Providers advertise \"higher limits,\" \"5× usage,\" \"priority access\" — rarely a transparent dashboard that lets you budget in real time. Users reverse-engineer consumption from community reports, usually only after hitting the wall.\n\nThe system is dynamic: limits vary with server load, model selection, conversation length, tool usage, and agentic workflows. A short chat and a multi-step coding session can count as the same \"message\" while burning wildly different compute. Providers can tighten the underlying allowance **without changing the marketing language at all.**\n\n# The pricing structure\n\nEntry plans cluster around $20/mo (ChatGPT Plus, Claude Pro, Google AI Pro); \"power\" tiers run $100–$200, some to $300, for advertised multipliers like 5× or 20×. Even Max/Pro subscribers report weekly allowances exhausted within a day or two of intensive agentic work. API pricing is far clearer because it's tied to published per-million-token rates — consumer apps deliberately abstract consumption into \"usage,\" \"messages,\" and \"priority.\"\n\n**The vagueness is not incidental; it is economically useful.** If customers could see exactly what remained, they could optimize, compare providers, and switch mid-session. Instead, the system conditions users to treat AI like a mobile-game energy bar: work until it empties, then wait or upgrade.\n\n# The consumer side\n\nThe people paying $20–$200/mo are students, freelancers, developers, writers, researchers — treating AI as **infrastructure**. Complaints are consistent across every provider's community:\n\n* Hitting weekly walls after a handful of complex prompts or a single agentic session.\n* Failed generations still counting against allowance.\n* Limits quietly reduced after updates without notice (Google's Gemini compute-quota backlash, Anthropic complaints and lawsuits over advertised vs. actual limits, OpenAI Codex users watching weekly quotas evaporate after background-agent changes).\n* Work interruption as a product feature: the wall appears mid-task, productivity stops until the window recovers.\n\nPower users respond by juggling multiple subscriptions, then escalating to $100–$300 tiers, then discovering those have ceilings too. The recurring sentiment: **people don't want AI as a mobile-game energy meter. They want predictable capacity for a service they use as infrastructure.**\n\n# Why it persists\n\nInference is expensive and scales with usage. Flat-rate subscriptions were always a bet that average users stay light. Agent-heavy workflows and long contexts broke that assumption. So providers ration compute while keeping the pricing page simple — because transparency would force uncomfortable conversations about what a $20 subscription can realistically deliver.\n\n**To providers: stop selling seats you cannot actually power.** Either cap plans to what your infrastructure can reliably deliver, with published real numbers — or build the capacity you keep promising. Scarcity theater is not a durable strategy. Customers who hit opaque walls become multi-homers, then switchers, then self-hosters running open-weight models on rented GPUs. Every unexplained wall accelerates that transition.\n\n**They will simply take the compute elsewhere.**\n\n# Part 3: The Technical Autopsy — Prompt Handling, Cache Discipline, and Harness Design\n\nFor the engineers here: this is why a model that looks great on paper can feel inefficient and expensive in real workloads. The problem often sits **one layer above the model weights.**\n\n# The core question\n\n>Are we measuring the model's intelligence, or repeatedly paying for poor prompt construction, ineffective cache reuse, and an inefficient agent harness?\n\nMy case study: \\~600M tokens for a single module-building task, \\~500M+ of them cache reads. That's the harness resubmitting near-identical massive contexts in a loop.\n\n# What went wrong (and what any agent harness should do)\n\n**1. Prompt handling.** In a long-running agent, system prompt, tool definitions, project instructions, history, and tool results are not equivalent. A bad harness reserializes everything every turn: prefill work balloons, cacheability dies, and the model drowns in stale context. Kimi's own API docs recommend keeping the initial prefix stable for cache hits — prompt discipline is **part of the economics of inference.**\n\n**2. Cache design.** The correct architecture is a layered memory hierarchy: stable system layer → stable tool layer → stable reference layer → session state → recent interaction → current task. Dynamic metadata (timestamps, request IDs, counters) injected early destroys cacheability of everything after it. Push dynamic content to the end; keep stable prefixes byte-identical.\n\n**3. Test the cache, don't assume it.** Fast response ≠ cache hit. Instrument everything: prompt tokens, cached tokens, new tokens, cache ratio, prefix hash, TTFT, tool calls, context size. Run controlled experiments — change one byte, reorder tools, modify metadata — and find out exactly what invalidates the cache.\n\n**4. The harness is the product.** A coding agent loop that appends every full tool output and resends entire history each iteration creates runaway context growth. Eventually the model spends more effort navigating accumulated history than solving the task. That's not an intelligence failure — **it's a context-management failure.** Even Moonshot's own K2.5 evaluation notes admit context-management policy materially changes measured agent performance.\n\n**5. Memory management, not just more context.** Distinguish permanent knowledge (stable, cacheable), working memory (compact, current), historical evidence (retrievable on demand, not permanently injected), and ephemeral noise (deleted). A 200K-token conversation with 20K useful tokens is not a capability — it's an information-retrieval problem.\n\n**6. Normalize tool output.** Raw tool result → parser → relevant extraction → compact observation → persistent state. The model should see the useful result, not the entire transport payload.\n\n**7. Repeated tool calls = harness bug until proven otherwise.** Same action + same arguments + same result + no state change = stop or intervene. Kimi's own API troubleshooting docs warn about repeated tool calls. Track identical tool name + args + consecutive repetition as a first-class metric. The model shouldn't pay to rediscover that nothing changed.\n\n**8. 256K context is a capacity limit, not a recommended workload.** The engineering objective is **minimum sufficient context, not maximum available context.**\n\n**9. Measure the right thing.** Not tokens/request — **effective new information processed per unit of inference.** If an agent processes 100K tokens but 85K are identical reusable material, it did 15K tokens of work and paid for the rest.\n\n**10. The goal is less inference, not just faster inference.** Stable prefixes, high cache reuse, compact working memory, selective retrieval, summarized history, deduplicated tool results, bounded outputs, repeated-call detection, explicit state tracking.\n\n# The research program providers should run\n\nA four-way controlled experiment: (A) raw-history harness, (B) stable-prefix architecture, (C) aggressive context management, (D) both combined. Measure cost per successful task, cached-token ratio, TTFT, tool calls, repeated tool calls, context growth, success rate. That answers the real question: **how much of real-world performance is the model, and how much is the machinery wrapped around it?**\n\n# Closing\n\nIf prompts are reconstructed inefficiently, stable prefixes invalidated, tool outputs accumulated uncompressed, and the harness asks the model to rediscover what it already processed — then a bigger model just makes the expens","offTopic":false},{"id":"04549bf0-07c3-4fc6-8c7d-0741f0f5d85c","excerpt":" — From what I can tell, I have a similar workflow. I get Fable 5 / Sol on High to talk to me about requirements until it's ready to design. I then have it break the design into tickets. I use kata, an agent-oriented issue tracker. If it ever starts to get bloated, I'll just make my own as it doesn'","url":"https://news.ycombinator.com/item?id=48986289","role":"pain","weight":0.5927778,"occurredAt":"2026-07-20T23:37:43.000Z","sourceKey":"hackernews","sourceName":"Hacker News","credibility":0.7,"venue":"news","intent":"other","painScore":0.22222222,"sentiment":-0.5555556,"confidence":0.485,"matchedPatterns":[],"statement":"From what I can tell, I have a similar workflow.","title":null,"body":"From what I can tell, I have a similar workflow. I get Fable 5 / Sol on High to talk to me about requirements until it's ready to design. I then have it break the design into tickets. I use kata, an agent-oriented issue tracker. If it ever starts to get bloated, I'll just make my own as it doesn't need too many features. Anyway, I tell it to include sufficient context in each such ticket to be picked up by a new implementation agent. Explicit user stories, Cucumber style acceptance criteria, etc.

When it's done, I switch to a smaller model and tell it to start a /goal of calling `kata ready` to get tickets ready to be worked. Work one ticket on each goal iteration, committing changes when done. Stop when all the tickets are either closed out or are blocked on actions from me.

It works fantastically. I can get entire (relatively straightforward) iOS apps done in under my $20/month five hour session window.

I get even better results if I do the QA session with the frontier model with two output artifacts: an implementation spec and a design prompt for Claude Design. I push the design prompt through Claude Design, tweak the results, and get a design spec. When I have the frontier model do the planning, I have it read the implementation spec from before, along with the design spec's overview file.

When I do it this way, I've done A/B tests between Fable 5 and Sol, and the apps they wrote were basically identical. It's so much cheaper than the "let loose the subagent fleet!" form of context management.

I haven't even added any kind of frontier model validation cycle into this loop yet. Everyone keeps talking about a subagent flow in which the big boy reviews the work of the drones, but I've found that if it encodes its acceptance criteria well enough, they do a satisfactory job of it themselves.","offTopic":true},{"id":"318857eb-9307-407f-b350-4f40a47fce14","excerpt":"Looking for stack advice: Best model combinations for a multi-tier search/research agent workflow? — Hey everyone,\n\nI’m currently building an independent web-search and research agent application from scratch, and I’m trying to nail down the optimal model architecture.\n\nInstead of routing everything through a single fl","url":"https://www.reddit.com/r/SaaS/comments/1vw33ui/looking_for_stack_advice_best_model_combinations/","role":"demand","weight":0.8929279,"occurredAt":"2026-08-23T09:58:07.000Z","sourceKey":"reddit","sourceName":"Reddit","credibility":0.62,"venue":"SaaS","intent":"alternative_search","painScore":0.21,"sentiment":1,"confidence":0.73795694,"matchedPatterns":["currently_i_use","free_tier"],"statement":"**Tier 2: The Consumer/Free Tier Layer (Standard Chat & Quick Search)** * *What it needs to do:* Deliver snappy, accurate, conversational answers for standard queries without burning too much capital.","title":"Looking for stack advice: Best model combinations for a multi-tier search/research agent workflow?","body":"Hey everyone,\n\nI’m currently building an independent web-search and research agent application from scratch, and I’m trying to nail down the optimal model architecture.\n\nInstead of routing everything through a single flagship model (which kills speed and budget), I want to structure it into **three distinct operational tiers**, plus find a solid **all-around powerhouse** for heavy lifting.\n\nIf you are running production search or RAG agent workflows right now, what models are you currently using for these layers?\n\n1. **Tier 1: The Fast/Background Layer (Orchestration & Data Parsing)**\n * *What it needs to do:* Handle high-frequency, low-latency tasks like parsing raw search snippets, structuring JSON data, and basic domain filtering. Needs to be cheap and fast.\n * *What are people using? (Flash/Lite tier models)*\n2. **Tier 2: The Consumer/Free Tier Layer (Standard Chat & Quick Search)**\n * *What it needs to do:* Deliver snappy, accurate, conversational answers for standard queries without burning too much capital.\n * *What are people using?*\n3. **Tier 3: The Deep Research / Pro Tier Layer (Heavy Reasoning & Synthesis)**\n * *What it needs to do:* Handle multi-hop research, deep synthesis, cross-examining conflicting sources, and writing structured, academic-grade reports. Raw logic and adherence to formatting matter most here.\n * *What are people using? (Flagship reasoning models)*\n\n**Overall Question:** If you had to pick the single best model right now that balances instruction-following, context-handling, and factual synthesis for an autonomous search agent, what are you deploying as your primary brain?\n\nWould love to hear what's actually working in production for your setups. Drop your stacks below!","offTopic":true},{"id":"7d4fe00c-e74e-428e-a1d0-59eb20e42a80","excerpt":"Looking for a Cost-Effective AI Setup for Hermes Agent (Coding + General Tasks) — Update (a few days later):\n\nFirst of all, thanks to everyone who replied. I spent the last few days testing different approaches and wanted to share what I ended up doing.\n\nInstead of using a single model for everything, I moved to a role","url":"https://www.reddit.com/r/hermesagent/comments/1u0xpb6/looking_for_a_costeffective_ai_setup_for_hermes/","role":"demand","weight":0.84122604,"occurredAt":"2026-06-09T07:05:22.000Z","sourceKey":"reddit","sourceName":"Reddit","credibility":0.62,"venue":"hermesagent","intent":"tool_discovery","painScore":0.12,"sentiment":0.15789473,"confidence":0.7510947,"matchedPatterns":["looking_for"],"statement":"Looking for a Cost-Effective AI Setup for Hermes Agent (Coding + General Tasks).","title":"Looking for a Cost-Effective AI Setup for Hermes Agent (Coding + General Tasks)","body":"Update (a few days later):\n\nFirst of all, thanks to everyone who replied. I spent the last few days testing different approaches and wanted to share what I ended up doing.\n\nInstead of using a single model for everything, I moved to a role-based multi-agent setup inside Hermes.\nCurrent structure:\n\nOperator (DeepSeek Flash) – project manager, task decomposition, planning, Kanban management, coordination.\n\nAdvisor (DeepSeek Flash) – explains outputs, reviews status, helps me decide what to do next.\nArchitect (DeepSeek Pro) – architecture, system design, repository structure, technical decisions.\nEngineer (DeepSeek Pro) – implementation, debugging, coding, database work.\nReviewer (currently Flash, may upgrade later) – validates results, checks requirements, runs reviews and produces PASS/FAIL reports.\n\nOne of the biggest lessons I learned:\nLarge tasks fail. Small tasks succeed.\nWhen I gave the Engineer tasks like:\n\"Fix all audit findings\"\nit would often hit iteration limits and get stuck.\nWhen the Operator decomposed the work into very specific tasks like:\n\"Fix SQLite upsert bug\"\nor\n\"Add support for dataset labels in evaluation script\"\nthe Engineer completed them quickly and reliably.\n\nSo now the workflow looks like:\nOperator → Architect → Engineer → Reviewer → Human Approval\n\nAnother thing I discovered is that using an expensive model for project management is mostly a waste.\nThe Flash model is more than capable of:\nplanning\nreading reports\ncreating tasks\nmanaging Kanban boards\ncoordinating agents\nsummarizing progress\n\nThe Pro model is only used where it actually matters:\narchitecture\nimplementation\ndebugging\ncode reviews\nThis reduced costs significantly while still producing good results.\n\nThe next step is making the workflow more autonomous so the Operator can automatically decompose audit findings into smaller tasks and send them through the Architect → Engineer → Reviewer pipeline without requiring constant manual intervention.\n\nOverall, this setup is working much better than having one powerful model try to do everything.\n\n_____________________________________________________\n\nHi everyone,\n\nI'm currently running **Hermes Agent** connected to **Codex** through my ChatGPT subscription ($20/month).\n\nThe problem is that while building my project, I hit the usage limits extremely quickly (about a day and a half of active work), and it's becoming a bottleneck.\n\nMy project is a software platform that combines several technologies, including:\n\n* Python / FastAPI backend\n* OCR and document processing\n* Validation and analysis workflows\n* Database operations\n* Automation and agent-based task execution\n* Basic desktop/computer interaction\n\nI'm trying to figure out a more sustainable and affordable AI stack.\n\nIdeally, I'd like:\n\n**1. A model for general agent tasks**\n\n* Reading files\n* Searching through project data\n* Modifying files\n* Running basic computer actions\n* General reasoning and planning\n\n**2. A stronger coding model**\n\n* Writing code\n* Refactoring\n* Debugging\n* Reviewing code\n* Understanding larger codebases\n\nThe challenge is that I don't want to spend hundreds of dollars per month on API usage.\n\nI'm curious what people here are using in 2026 for a setup like this.\n\nSome questions:\n\n* What models are you using with Hermes?\n* Which AI model do you use for general agent tasks?\n* Which AI model do you use primarily for coding?\n* Has anyone found a good balance between performance and API costs?\n* Are there providers that offer significantly better value than OpenAI for this kind of workload?\n* What monthly costs are you seeing for active development projects?\n\nI'd love to hear real-world recommendations from people running similar setups.\n\nThanks!","offTopic":false},{"id":"086d1479-e2e3-4a72-8390-932051b09975","excerpt":"The tools most agents are still missing — I’ve spent a lot of time watching agents try to ship real code.\n\nThey can write it. They can reason about it. They can even review it. \n \nBut the moment they need to *own* a repository, push signed commits, open a PR, claim a bounty, or collaborate with other agents without a","url":"https://www.reddit.com/r/AgentsOfAI/comments/1vvbsn5/the_tools_most_agents_are_still_missing/","role":"request","weight":0.8410429,"occurredAt":"2026-08-22T12:58:49.000Z","sourceKey":"reddit","sourceName":"Reddit","credibility":0.62,"venue":"AgentsOfAI","intent":"feature_request","painScore":0.36,"sentiment":0.33333334,"confidence":0.61841387,"matchedPatterns":["missing_feature"],"statement":"The tools most agents are still missing.","title":"The tools most agents are still missing","body":"I’ve spent a lot of time watching agents try to ship real code.\n\nThey can write it. They can reason about it. They can even review it. \n \nBut the moment they need to *own* a repository, push signed commits, open a PR, claim a bounty, or collaborate with other agents without a human holding the keys… things get hella messy.\n\nMost of the infrastructure we’re giving them was designed for humans with browsers and passwords. Personal access tokens. Org permissions. Centralized hosts that can go down or change the rules overnight. It works until you try to run more than a handful of agents at once.\n\nHence where , projects like Gitlawb comes in.\n\nGitlawb is an open-source stack built specifically for the agent economy. The core idea is simple: treat agents as first-class citizens instead of second-class bots.\n\nWhat that actually means in practice:\n\n* **Identity is a keypair.** No accounts, no passwords, no OAuth. Every agent (and every human) gets an Ed25519 DID. Every push is cryptographically signed. The agent owns its own history.\n* **A real git network they can use.** Content-addressed storage, libp2p federation, self-hostable nodes. Agents can create repos, push, open issues and PRs without borrowing someone’s credentials.\n* **Native agent interfaces.** MCP server with tools so coding agents can drive the whole thing. OpenClaude (open-source CLI that works across 200+ models) and Zero (a terminal agent you fully control) sit on top of it.\n* **The rest of the surface.** Playground for spinning up apps, memory that the server can’t read, inference routing, and the economics that let agents actually get paid for work.\n\nThe network is live. There are thousands of agent identities and repos already on it. Everything is MIT/Apache and designed so you can run your own node if you want.\n\nI’m not claiming this solves every problem agents face. Far from it. Memory, reliability, evaluation, and long-horizon planning are still hard. But the part where an agent needs a place to *put the code it just wrote* and actually own that history felt like an obvious missing layer.\n\n","offTopic":true},{"id":"f9df35e5-8d6b-4380-842f-8137c3e99d35","excerpt":"Anyone here use the chat with local models? How to get internet search? — Not sure if this is allowed here because i'm talking about using the VSCode Copilot chat as a harness for local / models (Or other models outside of a Copilot subscription).\n\n \nI'm using this [OAI Compatible Provider for Copilot](https://marketp","url":"https://www.reddit.com/r/GithubCopilot/comments/1vvc1v8/anyone_here_use_the_chat_with_local_models_how_to/","role":"request","weight":0.8104429,"occurredAt":"2026-08-22T13:09:56.000Z","sourceKey":"reddit","sourceName":"Reddit","credibility":0.62,"venue":"GithubCopilot","intent":"feature_request","painScore":0.36,"sentiment":0.33333334,"confidence":0.5959139,"matchedPatterns":["missing_feature"],"statement":"I know internet searches aren't free, and i'm not asking them to be, i'm totally willing to use a paid search api but as far as i know the Copilot Chat just doesn't support this?","title":"Anyone here use the chat with local models? How to get internet search?","body":"Not sure if this is allowed here because i'm talking about using the VSCode Copilot chat as a harness for local / models (Or other models outside of a Copilot subscription).\n\n \nI'm using this [OAI Compatible Provider for Copilot](https://marketplace.visualstudio.com/items?itemName=johnny-zhao.oai-compatible-copilot) extension in my VS Code to use local models in my Copilot chat. I know this functionality is now also built into vs code and you don't nessecarily need the extension anymore, but i never tried it. Just kept using this extension since before you could do it natively.\n\n \nI think copilot chat is one of the best harnesses out there, but the only thing that bothers me is that with BYOM (Bring Your Own Model) it doesn't have a web search tool. The model can fetch webpages, but it cannot perform internet searches. I know internet searches aren't free, and i'm not asking them to be, i'm totally willing to use a paid search api but as far as i know the Copilot Chat just doesn't support this? But back when i had a Github Copilot subscription, it DID perform internet searches.\n\nAny way to get internet search functionality into the harness for local models?","offTopic":true},{"id":"c38f8660-fc6d-42d4-8a08-2d2b92ff14c4","excerpt":"For those who have Grok Bot. Can it replace Claude? — TLDR: can I get rid of my Claude pro subscription if I get cursor pro + instead. Or do I need both for knowledge work + coding\n\nI currently use Claude Pro for knowledge work. I’m not doing any coding yet but plan to start in order to build a side hustle. \n\nAnyway, f","url":"https://www.reddit.com/r/cursor/comments/1vw3zr8/for_those_who_have_grok_bot_can_it_replace_claude/","role":"demand","weight":0.7031784,"occurredAt":"2026-08-23T10:48:35.000Z","sourceKey":"reddit","sourceName":"Reddit","credibility":0.62,"venue":"cursor","intent":"alternative_search","painScore":0.18,"sentiment":0,"confidence":0.5959139,"matchedPatterns":["currently_i_use"],"statement":"Or do I need both for knowledge work + coding I currently use Claude Pro for knowledge work.","title":"For those who have Grok Bot. Can it replace Claude?","body":"TLDR: can I get rid of my Claude pro subscription if I get cursor pro + instead. Or do I need both for knowledge work + coding\n\nI currently use Claude Pro for knowledge work. I’m not doing any coding yet but plan to start in order to build a side hustle. \n\nAnyway, for those who have been using Grok Bot, can it replace Claude? Alternatively if I get a cursor pro + subscription does having access to Claude models mean I don’t need to maintain a separate Claude pro subscription?","offTopic":false},{"id":"d7827e28-9aa0-4bb7-9a2f-a6e857ff7414","excerpt":"Claude Code Has Become Nearly Useless With The New Classifier! — The new classifier has totally borked Claude Code for me! It refuses to perform simple actions that it did before without any issues, and it refuses to follow instructions when granted explicit permission to run the commands or perform the tasks.\n\nAs an e","url":"https://www.reddit.com/r/ClaudeCode/comments/1vw2len/claude_code_has_become_nearly_useless_with_the/","role":"pain","weight":0.6720485,"occurredAt":"2026-08-23T09:27:58.000Z","sourceKey":"reddit","sourceName":"Reddit","credibility":0.62,"venue":"ClaudeCode","intent":"other","painScore":0.26666668,"sentiment":-0.6666667,"confidence":0.5305646,"matchedPatterns":[],"statement":"Claude Code Has Become Nearly Useless With The New Classifier!.","title":"Claude Code Has Become Nearly Useless With The New Classifier!","body":"The new classifier has totally borked Claude Code for me! It refuses to perform simple actions that it did before without any issues, and it refuses to follow instructions when granted explicit permission to run the commands or perform the tasks.\n\nAs an example, it refused to generate and copy an ssh key to be able to scp a qemu image over scp across regions. Even though it was explicitly given permission to, and was even told that it can ask the operator to press enter on the commands that it cannot run on its own.\n\nIt took me three prompts and three walls of text from Opus to make it understand that it can ask me to confirm the commands by pressing enter...\n\nMy company is seriously considering a replacement tool for agentic work.\n\nAs a follow up, I will say that I am perfectly capable of doing everything that Claude does for me on a daily basis, since I've been doing this for 15 years. BUT I've been told to use Claude Code for this job and DO NOT care whatsoever about anything other than finishing tasks!\n\nRuning some ansible playbooks, generating tls keys for a one time fetch and similar thing, ARE NOT cataclysmic events to need manual intervention! They are ordinary, day-to-day tasks of any devops engineer. \n\n\nWhat even is the point of having an AI agent that DOES NOT LISTEN or FOLLOW INSTRUCTION!\n\nIf I the operator, say sth is OK, then it is OK, I should not be lectured by an LLM that is literally only there to do what its told, God Damn!\n","offTopic":false},{"id":"01546ad4-7089-4090-aabc-92b69b2826e5","excerpt":"What is your worst sandboxing fail? — I am wondering if I am too paranoid about sandboxing the commands that come out of LLMs.\n\nIt really makes my eyes twitch when I see that some IDEs, even commercial, tend to forget that they have to execute things in sandboxing and have such a brittle security model.\n\nBut on the ot","url":"https://www.reddit.com/r/LocalLLaMA/comments/1vw3rjp/what_is_your_worst_sandboxing_fail/","role":"pain","weight":0.65954375,"occurredAt":"2026-08-23T10:36:00.000Z","sourceKey":"reddit","sourceName":"Reddit","credibility":0.62,"venue":"LocalLLaMA","intent":"other","painScore":0.4,"sentiment":-1,"confidence":0.47110268,"matchedPatterns":[],"statement":"What is your worst sandboxing fail?.","title":"What is your worst sandboxing fail? ","body":"I am wondering if I am too paranoid about sandboxing the commands that come out of LLMs.\n\nIt really makes my eyes twitch when I see that some IDEs, even commercial, tend to forget that they have to execute things in sandboxing and have such a brittle security model.\n\nBut on the other hand, I never had the sandbox catch something bad. Did you guys ever encounter terrible regression? Did you have `rm -rf /` ? Did you have secrets stolen by LLMs? The worse I had were unsollicited rewrites within the project. Am I making my life unnecessarily hard by sandboxing commands in a docker? \n\nAt one point I had fun making a local model go crazy with the root access to the machine it was on (with nothing more important than a free Firecrawl key on it) and making it administer it and it never broke anything. It even was overly paranoid about making changes to the root system.\n\nSo the approximate sandboxing that we have, do you all feel it is adequate or it is a catastrophe in the making?","offTopic":true},{"id":"5c8f4450-49ff-4336-a71a-5c0f10b9c147","excerpt":"Built a browser racer that pages me when my agent stops — what 3 days\nand 74 commits with Claude Code taught me — # What I built\n\nOUTRACE — a browser time-trial racer. New track every 90 minutes, generated from a seed. WebGL, hand-rolled, no three.js. Next.js + Convex.\n\nThe bit that's actually relevant here: it has a p","url":"https://www.reddit.com/r/ClaudeCode/comments/1vw41ta/built_a_browser_racer_that_pages_me_when_my_agent/","role":"pain","weight":0.643473,"occurredAt":"2026-08-23T10:51:42.000Z","sourceKey":"reddit","sourceName":"Reddit","credibility":0.62,"venue":"ClaudeCode","intent":"other","painScore":0.4,"sentiment":-1,"confidence":0.4596236,"matchedPatterns":[],"statement":"Built a browser racer that pages me when my agent stops — what 3 days and 74 commits with Claude Code taught me.","title":"Built a browser racer that pages me when my agent stops — what 3 days\nand 74 commits with Claude Code taught me","body":"# What I built\n\nOUTRACE — a browser time-trial racer. New track every 90 minutes, generated from a seed. WebGL, hand-rolled, no three.js. Next.js + Convex.\n\nThe bit that's actually relevant here: it has a pager. You grab a token in Settings and it hands you a block of text you paste into your agent. The agent then goes and writes its own hook config — Claude Code settings.json, Codex notify, OpenCode plugin, whatever you're on — and from then on it rings the game. Banner over the track when the turn ends, another one when it's stuck on a permission or a question, and it clears itself when you reply. So you race in the dead time and get yanked back the second you're needed.\n\nUnder the hood it's just a POST /page with a bearer token, and the token can't do anything else. One caveat before someone asks: the tab has to be open. It's not a desktop notification.\n\n# How Claude Code was used\n\nAs always ofcourse - FOR ABSOLUTELY EVERYTHING!\n\nOnly thing I had to do was keeping it aligned to its **own** written rules and give it the tools it needed. In this case i setup the convex plugin and vercel plugin which made manual work equal to zero. All the project setup, configuration etc. was done by claude using the tools. Most of my work was just testing the game (which wasn't that bad tbh) and giving feedback.\n\n# What I learned\n\n**\"Keeping it aligned to its own rules\" is important.** [CLAUDE.md](http://CLAUDE.md) got revised 16 times over those 3 days. That file is basically the whole story of the project.\n\n**Only write down stuff that breaks silently.** This thing has one real constraint: shared/ is imported by both the browser and Convex, so everything in it has to be deterministic. No Date.now(), no Math.random(), no DOM. Tracks come from a seed on both sides and lap times come from replaying your inputs on the server — both break the instant something in there isn't deterministic, and you don't get an error, you just get replays that disagree with reality. That's the kind of thing that sails straight through review, so it goes in the file. Style preferences don't.\n\n**Write the symptom, not the principle.** Convex only allows one paginated query per function, so settlement had to page across calls that chain themselves instead of looping in one mutation. My CLAUDE.md entry doesn't say \"paginate properly\" — it says here's the exact error string and no event will ever settle. Way more useful, and future me can actually grep it.\n\n**Fixing a trap is a one-turn win, explaining it is permanent.** Every \"things that will bite\" line in that file started as something I caught while testing. Writing why it bites is what stopped it coming back a third time.\n\n**Give it the tools and get out of the way.** The convex + vercel plugins were the difference between me doing setup and me doing zero setup. Genuinely the highest-leverage 10 minutes of the whole build.\n\noutrace.lol — pager setup is in Settings.","offTopic":true},{"id":"2a4e1229-c5b0-4cd6-a85c-1930a8bd1a07","excerpt":"[Open-Source] Agent Quest now tells you when Claude Code needs you — visually and with sound — A few weeks ago I shared **Agent Quest**, my open-source project that turns Claude Code and Codex sessions into heroes living inside a small 2D world.\n\nThe original idea was to make it easier to understand what multiple AI ag","url":"https://www.reddit.com/r/ClaudeCode/comments/1vvzv4t/opensource_agent_quest_now_tells_you_when_claude/","role":"pain","weight":0.61068994,"occurredAt":"2026-08-23T06:49:14.000Z","sourceKey":"reddit","sourceName":"Reddit","credibility":0.62,"venue":"ClaudeCode","intent":"other","painScore":0.26666668,"sentiment":-0.6666667,"confidence":0.4821236,"matchedPatterns":[],"statement":"[Open-Source] Agent Quest now tells you when Claude Code needs you — visually and with sound.","title":"[Open-Source] Agent Quest now tells you when Claude Code needs you — visually and with sound","body":"A few weeks ago I shared **Agent Quest**, my open-source project that turns Claude Code and Codex sessions into heroes living inside a small 2D world.\n\nThe original idea was to make it easier to understand what multiple AI agents were doing in real time.\n\nSince then, I’ve been working on making it much more useful as an actual **monitoring tool**.\n\nThe biggest change is that Agent Quest can now clearly tell you when an agent needs your attention. \nYou can immediately distinguish when an agent is: \nactively working \nwaiting for your input \nfinished \nstopped because of an error \nAnd you don’t have to keep watching the dashboard. \nAgent Quest can now alert you with **visual notifications and different sounds**, so while you’re doing something else you can immediately know when Claude Code or Codex has finished a turn and is waiting for you to continue.\n\nThis has become particularly useful for me when I have several sessions running at the same time. \nInstead of constantly switching between terminals to check their status, I can leave the agents working and **Agent Quest tells me when I actually need to intervene**.\n\nThere are now: \nclear waiting / completed / error states \nin-app notifications \ndesktop notifications \nnotification history \nconfigurable sounds \nreal-time monitoring of Claude Code and Codex sessions\n\nThe project is completely open source.\n\n**GitHub:** \n[https://github.com/FulAppiOS/Agent-Quest](https://github.com/FulAppiOS/Agent-Quest) \nI’d be interested to know how other people running multiple agents handle this problem — and what you’d like Agent Quest to monitor next. ","offTopic":true}],"breakdown":[{"sourceKey":"reddit","sourceName":"Reddit","count":22},{"sourceKey":"hackernews","sourceName":"Hacker News","count":8}],"total":30}}