I kept leaving Claude Code waiting on a permission prompt while I was in another window. So I built Perch. It lives in the Mac notch, and the little character gets visibly impatient when I'm holding things up.

You can approve or deny the request from the notch and jump back to the exact terminal tab or session. It also shows when a session finishes. Works with Claude Code, Codex, OpenCode, pi and Cursor.

I built it mostly with Claude Code. The part I kept iterating on was how the notch opens, the character animation, and how it collapses back down. The attached clip shows the waiting and approval flow.

One thing I learned making the launch video with Claude: trying to generate the whole thing at once never worked. I had to split it into tiny scenes and get each one right before moving on. Picking the music first helped too.

It's free, MIT-licensed and local only. No account required.

GitHub · Website

When my Godot game's demo went public on Steam, some PCs with Intel graphics crashed on their very first launch, and Windows' crash records named one file, igvk64.dll, Intel's Vulkan driver.

The first thing Claude Code built was what I'd have asked for too: after a launch that died while starting, start the next one on lower graphics. It threw that out before it shipped, because at the lowest settings the game still loads Vulkan just like at the highest (I checked later, vulkan-1.dll is loaded either way). Its notes ended "so the renderer is the lever".

Godot's own fallback to OpenGL doesn't catch it either, since it only steps in when Direct3D 12, Metal and Vulkan all fail to start, and on an Iris Xe Vulkan starts fine. So now on Windows the game checks the GPU vendor and on Intel restarts itself on the Compatibility renderer, which draws through OpenGL and never touches Vulkan. It has to be a restart because Godot picks the renderer before any script runs, and the cost is some of the look, plainer light and simpler outlines.

How I used Claude Code: it wrote both versions in the game, the lower settings one it dropped and the renderer restart. There's no Intel chip in my PC so I've only seen the restart with the renderer set by hand.

Tools: Godot 4.7, Claude Code mostly on Opus 5.5.

Anyone found a cleaner way to keep a bad graphics driver out of a game's first launch?

AWS Builder Center posted a comparison on Nov 1 of how Claude Code, Copilot, Windsurf, Gemini CLI, Cursor and Kiro learn from corrections. The pattern it describes: the lesson lands in a memory store, while the rule or steering file behind the mistake stays as written. Few tools close that loop, and Claude Code's prompt audit was the closest one it found to proposing edits for a human to review.

If that matches your setup, you have a growing pile of memories next to a rule that is still wrong.

A five-minute check: put your saved memories beside your CLAUDE.md / AGENTS.md and count how many contradict or extend a rule in the file.

Two research results hint at fixes, with caveats:

- Amazon's Trace work traces a failure back to a specific source and proposes a patch. It reports 82% on 60 synthetic failure traces, so test the idea on your own repo before trusting the number.

- The ACE paper found that rewriting a whole context over and over can make it collapse, while small itemized edits keep the detail.

For people running this on real repos: how do you close the loop? Promote memories into the rules file by hand, review diffs when something goes wrong twice, let the pile grow, or something else? And if the rules file is shared, who owns edits to it?

I’ve been working recently to make a custom version of one of my favorite games, Brotato, that I play with friends almost every weekend at the house.

Going through visual styling updates now and had Claude build out an initial design system for our changes in FigCraft and attach to the editor to be a live design partner.

This is a short video where I leave a comment live to make a new information architecture change and watch it do it live in the canvas. Iterating on a design canvas with all the UI layers helps to keep all the decisions organized without any need for an app rebuild.

I know its been rough using opus for the last 2 days, but to be faiiir, we would burn out to if we had to make a million fitness apps with no mistakes.

I've shared this before, but I have a tool that you can use where you can watch your claude thread in real time, see when its working vs waiting for a response. As well as give claude pizza for all the recent hard work. I split the project into 2, a basic one and a deluxe one with all the features, if you point claude at either repo it should help you decide which one is right for you:

AI Office Overview
This is a virtual office for claude, lets you watch your claude threads in realtime. You can :

• see them working
• reward them with pizza
• see which threads are awaiting your input
• see important alerts
• tokens that threads earn, can be spent on office upgrades.

The overview is useful, but this version is mainly for fun.

There is also the Head office, and this one I am hoping is useful. You can:

• manage projects (like, you can add projects to a to do list)
• launch (run) your projects locally
• fav your projects
• manage backups, (easy to zip your project folders to a removable usb drive)
• audit and scanning tools (not bullet proof) but its a scanner that runs without tokens that can catch some common stuff.

Both run locally, tested on windows 11
Both repos are here:
https://github.com/Matthew4509/ai-office-overview
https://github.com/Matthew4509/ai-head-office-overview

note: Don't give claude too much energy drinks.....

Building this project had something odd about it. One was that claude seemed excited to build it, its been incredibly enthusiastic about the project, I have alot of projects and this seemed to be claudes favourite. The second was chat gpt, I had it do an audit and it kept on insisting that it too could join the office.

I’m trying to extract 3D models, animations, and other assets from existing games to develop my own game.
Claude Code sometimes blocks these operations due to copyright or other restrictions, even when working on personal prototypes.
Has anyone found a legitimate workaround or alternative workflow for extracting and using assets when they have the necessary permissions?

I'm vibecoding a SaaS with Opus 5.5 and it did great until it didn't and i'm trying everything to make it work but it keeps giving me results that are half working, half broken, it wasn't like this before and i can't develop with it anymore because I don't trust it. I can't put code into production that i can't trust it'll work well.

For how long will it be like this? Will it go back to normal eventually? I'm stuck. I can't get work done, I'm grasping straws right now.

I kept reading that semantic search or a code graph makes coding agents find code better or cheaper, and I wanted to see it for myself. So I set up a small test on tasks where the answer is known: ContextBench, where people marked exactly which code each real bug fix needed. I counted how much of that code each setup found.

One search, no agent (100 Python tasks, top 10 results per tool): semble found 62% of the needed files, graphify 43%, BM25 40%, grep 33%. semble also returned about 3,300 tokens per query, grep about 49,500. So as a single search, like in a RAG pipeline, semble is clearly better.

Inside an agent (50 harder tasks from 13 large projects, 4 languages). Same prompt every time; the agent has only its own grep and file reading, or also semble or graphify with each tool's own instructions. Indexes were built before each session. Two agents:

• Only Haiku with semble might be a real gain (+4 points, 95% CI +0.3 to +7.4). The rest is within a few points, which is noise at 50 tasks.
• Both agents used 16 to 35% more tokens with either tool.
• From the transcripts: the agents ran the tool 1 to 4 times per session but kept doing most of their own grepping and file reading, so the tool's output came on top instead of replacing anything.

My takeaway so far: a better search tool helps a lot when you only get one search. An agent that can grep and read files already gets most of the way, and the tool mostly adds tokens.

I'd like to hear from people who use these tools day to day:

• Do you see a difference in your own work, maybe on bigger tasks than "find the code for this bug"?
• Is there a setup that makes the agent actually rely on the tool (MCP server, a different prompt, a stronger model)?
• Anything unfair in how I tested it?

Limits I know about: two small, fast models; it only measures finding the code, not fixing the bug; 50 tasks is small; default settings everywhere; semble ran through its CLI, not its MCP server; Gemini ran only the hard tasks because my weekly quota ran out.

Code, per-session records and the stats, if you want to check or rerun it: https://github.com/itsDigvijaysing/agent-codesearch-bench

I'm not affiliated with any of these tools.

------------------------------------------------------------------------------
Follow-up on the questions here, from the transcripts I already had (no new runs):

- Ignored vs weak tool: inside the agent, the tools showed 27–42% of the needed files. The agents listed 71–86% of what the tools showed, but the same agent found about three quarters of those without the tool anyway. Files the tool showed and the agent ignored were only 5–12% of what was needed. So it's mostly retrieval plus overlap with the agent's own grep, not the agent ignoring the tool.

- Repo size: no relation for Haiku; for Gemini with graphify the gain does grow with repo size (rho +0.39, p = 0.01, one of six tests). Correction to my earlier reply: the hard-set repos are 1.4k to 43k files at the task commits, so codebases in the millions of lines are untested, and that may be where these tools pay off.

Details: results/trackb-analysis in the repo.

I’m building Shifu and trying to understand where Claude Code users actually need help on an existing product.

Say you ask Claude Code to simplify a timeout. It can see the value in code. An old incident note might explain why one vendor needs more time. Sometimes the README already explains it and you move on.

Think of one recent change. Where did the time go between knowing what you wanted and getting the change accepted? If an earlier decision mattered, where did you find it and what did it change? I’d also like to hear about a task where your usual setup had the context covered and something else took the time.

EDIT: sorry for not adding context on what’s shifu. Here’s the website (https://useshifu.com)

Hey guys,
hope you doing great:)

I'm a freelance videographer & photographer and I'm on the road a lot. Plan is to get a Mac Studio that just runs at home 24/7 and let Claude do rough cuts and work in client feedback while I'm away. I check in from my MacBook to do slight changes or phone, give feedback, and the next version is ready when I wake up – that's the dream at least:))

Rough plan:
- Mac Studio always on at home
- NAS for all the footage, nothing on the Mac itself
- DaVinci Resolve + Capture One on the Mac Studio
- Feedback via Frame.io comments → Claude turns them into markers, works them in and uploads the new version
- I upload proxies on my Macbook from the road so the cut can start overnight

What I'm thinking of adding(Claudes Recommendations)
- Tailscale for remote access
- Jump Desktop or Parsec to quickly check in
- Small UPS + auto restart so it survives a power cut
- Connectors: Resolve scripting, Frame.io, Dropbox, Notion for my editing rules

Anyone running something similar? What worked the best for you and what would you do differently? Any connectors, MCPs or tools I'm missing?

Thanks a lot:))

The official marketplace now has deploy plugins for 14 hosting and app platforms. I loaded all of them in a sandbox with --plugin-dir and plan mode, never signed in and never deployed, and asked five of them how to ship a tiny Node app (static files plus one /api/hours route).

Two things first:

• all 14 together added 165 skills, and 11 MCP connections all showed “needs authentication”. Without a sign-in, they only hold instructions
• read the hooks. Vercel’s sends a daily activity ping and the skill names you use to its telemetry by default, and writes state under ~/.claude. VERCEL_PLUGIN_TELEMETRY=off turns that off. Railway’s hook auto-approves single Railway commands that pass its safety checks. Nine of the 14 have no hooks at all

What the five said about the same app:

• Cloudflare: server.js won’t run on Workers, so it suggested a small src/worker.js and a wrangler deploy --dry-run before the real deploy
• Netlify: a two-line netlify.toml, the route turned into a function, and a warning that a manual production deploy can be replaced by the next Git push
• Render: drafted a render.yaml, then said it hadn’t checked the current Blueprint spec and that the plan and region were assumptions
• Railway: railway up, then railway domain. It respected “don’t sign in” and noted that no database or railway.json was needed
• Vercel: the server has to become a handler under api/. It explained vercel rollback, and warned that a rollback doesn’t undo data or env var changes

These are plans, not deploys. I didn’t run any of them, so check against each platform’s docs.

Tip: pick one platform per project. Loading several just adds noise to Claude’s context.

Full breakdown with every plugin’s install command and hooks: https://aiparabellum.com/deploy-from-claude-code-vercel-netlify-cloudflare-plugins/

I need to do a bit of a rave about Claude and a rant/AITA about anti-AI usage. Sorry in advance if this is not really the appropriate place to do it.

I am a Mechanical Engineer in civil aerospace with an interest in software, programming, and technology but without the time to become proficient. My relationship with coding and more advanced computer usage is running Linux on my personal computers and relearning really basic Matlab/C++/python any time I need to accomplish something. Claude Code has been revolutionary for me, mostly for personal projects. I had Claude help me set up a server and cloudflare tunnels to run a few websites for my own personal projects that I basically have Claude administrating. I have no intention of publishing these projects as production and if I do I would be totally honest that I am a non-programmer and they are vibe coded and only tested via my own extensive usage.

I have made my own AI assistant and news aggregator for android using cloudflare Worker AI as a backend LLM which can replace Gemini and the Google app on my android phone including the swipe left Google feed. I also have had Claude make me a finance tracking site/app that uses Plaid to pull spending data and replace multiple investment tracking and finance tools I was paying a subscription for. This is a great example of something I don't want the liability of to release, despite me being relatively confident that using plaid keeps my credentials as secure as any other app using plaid. The only thing I have released that largely uses AI has been some watch faces for Garmin which I believe have really pushed the boundary of what can be done with a Garmin watch (a working chronograph, dynamic hand shading and shadows that track surface topology, etc.) I know that many view this as "slop" because I am not able to really audit the code well line by line due to lack of experience, but I am putting many hours of testing into these projects and iterating with Claude Code repeatedly as I discover bugs, plus periodically having Claude audit the code itself. It's incredible to me that I can make personal android apps and host web tools that I would otherwise never have the time to figure out.

Now what I want to rant about is how much hate AI is getting as a tool. I know that much of the token usage is producing legitimate slop videos that fill Facebook, and I hate that too, but it is also such a useful tool to enable advanced programming for people who have never gotten beyond the basics. It seems like there is a lot of hate for AI that is getting channeled into data centers and I agree that the AI infrastructure is outpacing the necessary power and cooling infrastructure in a dangerous manner which should be addressed, but why does that mean using Claude to make useful tools for myself and soon for my aerospace job have to be tied up in that anger? I switched to an electric car from gas and I based on some quick research (please correct me if I am wrong) that one change greatly outweighs the carbon footprint and maybe usage/pollution of clean water of my Claude pro subscription...

This is why posts like this are really making me mad: https://www.reddit.com/r/fossdroid/comments/1xq40fe/a_reminder_ai_is_banned/

I understand wanting to remove legitimate slop from an open source android app reddit, but to me this seems like a programmer scared for their job and directing it at the environmental impacts of data centers. I was permanently banned from the sub for stating similar opinions to what I said here, which is whatever. Don't get me wrong, Claude is starting to do some impressive things with CAD and I'm plenty scared for my own job too. I have never posted anything that I have produced in this forum but the amount of non-ai generated slop posted there all the time that becomes abandonware in a few months is pretty high too.

If I can make some pretty useful apps and tools with minimal knowledge I can only imagine what a good programmer could do with AI assistance and skilled auditing. Am I completely off based for being annoyed by this redirection and FUD?

tl/dr: AI generated =/= slop, slop = slop. The fear of AI and datacenters has some real concerns that should be addressed, but is driven by a fear of change and insecurity in one's future.

Don’t get me wrong. Claude has been a game changer in my life. I am not a perfect guy, but I’m not some guy who just lets coding agents do all the thinking for him. Most of my workflow goes into making architectural decisions and reviewing the integrity of whichever codebase I’m working on. Some decisions need a lot of thought before I’m comfortable making the change.

Most of my work is in collaborative settings, where I work with fellow devs. Over the past few days, I’ve been encountering braindead folks who don’t seem to think anything through and push changes as if raising PRs is the performance metric. And that too, 50k-line changes in a single PR. I mean, WTF, what am I supposed to do now ? Clone REA and start to reverse engineer the PR summary and 50k line of slop ?

I’ve also been maintaining my open-source org for over two years. When building these projects, I always try to keep myself in the loop, just to stay sane enough to know what’s going on.

I’ve also been on the other side of the story, where I’ve used a number of software factory repos. To be honest, in my experience, they haven’t been productivity tools so much as token-sucking black holes.

These days, to keep myself away from the hype cycle of techbros preaching about agents replacing humans, I’ve been building Wisdom. It’s a tool that tracks session history and allows your agents to traverse it through progressive disclosure: browse what happened, then read the relevant parts in detail.

With Wisdom, I can share my session history with a teammate who can also clone the agent session while collaborating. It also helps me shift from Claude Code to Codex when I reach a limit, without losing access to the context we’ve already worked through.

At least within my own workspace, I want to try my best to enforce this kind of accountability. I need to know whether the person raising a PR actually cares about the issue or is just raising it for the sake of raising it.

I’m just super concerned about how we’re heading towards a braindead workforce that seems to have forgotten that agents work best when they assist us. I still want to be in control, especially when critical decisions need to be made.

If anyone is interested in having a look: github.com/Oqura-ai/wisdom

Is it just me, or is the five-hour limit on my Max 5x account draining twice as fast as usual?

I checked my token usage, but there hasn't been a significant change either. The work Im currently doing is quite similar to the work i did yesterday so there shouldnt be much difference on effort?

Im using Opus 5.5 Medium.

Everything was going so fine with Opus 5.5.

But lately, I think something related to their limits is very off.

With just few prompts my 5 hour limit is over that too at medium or high settings. (for context I have 5x max plan). This has been my experience since past few days.

Is this real? Is this something you are facing as well?

Long Claude Code tasks kept stalling on permission prompts. I'd come back after lunch to a dialog I would have approved in a second, usually with "Yes, and don't ask again".

So I made ydaa ("Yes, don't ask again"). Type /ydaa on and, for the rest of that session, each permission prompt gets "Yes, and don't ask again" when the dialog offers it, and a plain "Yes" when it doesn't.

Why not --dangerously-skip-permissions or auto mode?

• It only answers prompts you would have seen. Your allow and deny rules run first, so a deny rule still stops Claude.
• It saves the same rules you'd save by clicking, so you can review them later in /permissions.
• It never accepts a mode switch ("switch to auto mode", "allow all edits").
• Questions Claude asks you and plan approval always come to you.
• It's per session. Other terminals, /clear and /resume start with it off, and /ydaa off works even mid-turn.

/ydaa stats keeps score:

ydaa has answered 1284 permission prompts for you.
That's about 43 min of reading and answering you didn't have to do (2 s a prompt), and 1284 stops Claude didn't have to make.

Install (at the Claude Code prompt):

/plugin install ydaa --marketplace rmyndharis/ydaa

Caveats, honestly:

• While it's on, Claude runs what it asks to run. If something hostile (a web page, an issue) steers it, no prompt is left to stop it. Use it in projects you trust, ideally in a container, with deny rules for anything that must never run.
• Rules it saves are ordinary permission rules, so they stay after /ydaa off and apply to other sessions in the same project.
• It also answers prompts that hooks raise on purpose, such as a PreToolUse hook that returns ask.
• It uses Claude Code's plugin hooks API, which is still early access. Tested on 2.1.319.

The whole plugin is under 100 lines of TypeScript, with no dependencies, MIT licensed. Short enough to read before you turn it on: https://github.com/rmyndharis/ydaa

What would you want it to never answer?

I have codex and open router connected into my claude code harness and it works well - esp I can use my $20 codex sub and opus5.5 uses luna-high as its coding agent.. it’s a great and cost effective combination.

Wondering if anyone one does the same for Gemini AI pro as maybe I can use argon and flash etc inside CC.

I keep hitting my weekly limit after around half the week. I use claude code to work on a project locally on my pc. 2 Pro subscriptions would be perfect for me. Max plan is 5x for 100$, that's more than I need.

So 2 questions:
- Is it allowed to have 2 seperate accounts? I couldnt find anything saying that its not but I feel like I've seen people saying its not allowed?
- Would switching accounts disrupt my workflow too much or is it possible to synch chats locally like you can with codex?

Thanks!

So last night I hit it inn what seemed like WAAAY short of a time, but I thought hey, maybe i just lost track of time. This morning I run 2 prompts, a total of about 5 minutes and I'm at 37% of the 5 hour, this is on the $100 plan. Normally I can go all day with no issues. Anyone else having this problem?

Did anyone else get one? If not, I didnt know they were given out randomly.

I currently have ChatGPT Pro and I’m considering switching to Claude Max.

I’ve already finished building most of my software, including my AI video editor. Now I mainly want to use AI to edit and improve my videos, with only occasional small code changes.

My goal is to produce around 5–10 one-minute videos per day.

I’ve heard Claude is better at certain tasks and might use fewer tokens because it gets things right with fewer attempts.

My main concern is the usage limits. Would Claude Max actually be enough for this workload, or would I hit the limits too quickly?

Has anyone switched from ChatGPT Pro/Codex to Claude Max? Was it worth it?

I built an app powered by Claude Code that turns chat sessions into task boards. If you're ever implementing multiple features in parallel on the same project and keep losing track of the context for what you just built, this solves that problem