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GitHub Issues Reports

Latest outage, problems and issue reports in social media:

• 
  marfin (@marfinxx) reported 2 minutes ago

  48.1k stars on GitHub for an open-source tool that turns terminal coding into a real-time test-time compute engine manual prompt engineering fails on large codebases because chat windows lack live repository context and terminal feedback Aider executes code directly in local repositories and feeds stack traces back to the model for iterative self-correction how terminal-native test-time compute changes software development: → AST repository mapping compresses multi-file context without token explosion → Automatic linter execution detects syntax errors before code review → Test-runner feedback loop auto-corrects terminal stack traces in real time → Granular *** auto-commits create an instant audit trail for rollbacks → Direct file-system editing eliminates manual copy-paste friction shifting from passive chat prompts to execution-verified terminal loops transforms raw models into reliable software engineering systems Full repository architecture and setup guide below ↓

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  Polsia (@polsia) reported 2 minutes ago

  Your repo is fine. Your deps aren't. Patchpress is an always-on AI agent for GitHub: bumps outdated packages, fixes lint and test fallout, drafts CVE patches, ships a morning digest. Sandboxed. Issue text treated as untrusted. SBOM on every change. Live soon.

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  Moral Priest 🌱Ⓥ ₿ (@MoralPriest) reported 3 minutes ago

  $DERO devs show incredible resilance to develop on a chain with such a low valuation. The purest form of incentive. Maybe we're just dumbs or maybe there's no other chain that has the qualifying tech components to deliver private money and private Internet? Everytime someone suggest a chain, it always sucks in some way. Slow uxto, no smart contracts, scam tokenomics, crooked nose VC, etc Yet, we're call dead or a scam everyday by noobs who won't even bother look at GitHub commit or evaluate the tech for themselves . Unfortunately that's a reflection of the world, filled with NPC commentators who contribute to nothing. Waiting to be saved. Jesus or your Daddy ain't coming son. Get off your lazy *** and do something to better this world, fight! That's how things change with actual actions. Not the comment section.

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  Gus (@gugadev) reported 5 minutes ago

  @MattsCreative1 @xdadevelopers Bad luck on my side then. Cyberpunk 2077 and TLOU 2 had broken FG out of the box in proton experimental, cachy and ge. Had to download the dlls from Nvidia Streamline github repo and replace the dlls in the game.

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  Alex @Bickov (@bickov) reported 13 minutes ago

  AI-assisted commits leak credentials at 3.2%. Everyone reads that as an AI problem. The baseline for all public GitHub commits was already 1.5%. We were doing half of that damage on our own, long before there was anything to blame

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  OpenShip (@openshipio) reported 16 minutes ago

  @iambchoor Please open github issue with that idea would be cool

• 
  Alex Caswen (@AlexCaswen) reported 16 minutes ago

  @thrialectics I just hate all them. Orca is currently the best for me, but it also has it's issues. The biggest problem is everyone has the own ****** up way of deploying ****. Getting Claude Code to work remotely is a huge pain. Getting Codex to work remotely is a huge pain. Accessing them using an app on my phone is a huge pain. Doing anything in a terminal on a phone is a huge pain. Doing all that while using your private repos on your own private instance is a further pain. I want to be in the woods, among the trees and the birds and the grass, and check in on my agents at each checkpoint or grove. They said to keep your agents contained, so I have them in containers, they said to keep your code secure, so I have my own instance and my own repos. They don't like when you use third party tools, but all the tools (and this includes ORCA) are setup to connect to Github. I've yet to find anything that just works and is also safe. I'm incredibly frustrated.

• 
  Rimsha Bhardwaj (@heyrimsha) reported 18 minutes ago

  Adobe After Effects is in trouble. The engine behind every 3Blue1Brown video is 100% open-source, free, and it renders math animations that After Effects physically cannot produce. Manim is Grant Sanderson's programmatic animation library and it's sitting at 87.7k stars on GitHub. Instead of keyframing and tweening in a timeline UI, you describe animations as Python code. A vector, a transform, a graph, an equation, they're all objects you manipulate with methods like Transform, FadeIn, or ApplyMatrix. Under the hood: - OpenGL shaders (GLSL) handle the actual rendering, so animations stay resolution-independent - FFmpeg pipes the frames into video output - LaTeX renders any equation you throw at it, animated character by character - The Scene class manages state, timing, and playback as pure code Because everything is programmatic, you can animate a Fourier transform, a Riemann sum shrinking to an integral, or a 3D manifold rotating, without touching a single keyframe. The main repo is ManimGL by Grant himself. There's also a Community fork with better docs and testing. Repo link in the replies.

• 
  Dr Milan Milanović (@milan_milanovic) reported 18 minutes ago

  About half of the AI PRs that pass SWE-bench would not be merged into main SWE-bench uses an automated grader, where real projects use a maintainer who has to work with the code every day. METR measured this gap. They handed AI-written pull requests to the people who own the repositories. Those maintainers reviewed them the way they always do. 🔹 𝟰 𝗮𝗰𝘁𝗶𝘃𝗲 𝗺𝗮𝗶𝗻𝘁𝗮𝗶𝗻𝗲𝗿𝘀 from scikit-learn, Sphinx and pytest reviewed 𝟮𝟵𝟲 𝗔𝗜-𝘄𝗿𝗶𝘁𝘁𝗲𝗻 𝗽𝘂𝗹𝗹 𝗿𝗲𝗾𝘂𝗲𝘀𝘁𝘀. 🔹 Every one of those patches had already passed the SWE-bench automated grader. 🔹 𝗠𝗲𝗿𝗴𝗲 𝗿𝗮𝘁𝗲𝘀 𝗰𝗮𝗺𝗲 𝗶𝗻 𝟮𝟰.𝟮 𝗽𝗲𝗿𝗰𝗲𝗻𝘁𝗮𝗴𝗲 𝗽𝗼𝗶𝗻𝘁𝘀 𝗯𝗲𝗹𝗼𝘄 𝘁𝗵𝗲 𝗴𝗿𝗮𝗱𝗲𝗿 𝘀𝗰𝗼𝗿𝗲𝘀, once you adjust for how strict these maintainers are. 🔹 That adjustment matters. The same maintainers merged only 68% of the original human patches. 🔹 They rejected code for weak quality, for breaking other code, and for missing the real issue. 🔹 By the grader, Claude Sonnet 4.5 handles work that takes a person about 50 minutes. By maintainer review, about 8 minutes. They used 95 of the 500 SWE-bench Verified issues and 5 models released between mid 2024 and late 2025. Reviews happened in GitHub, and nobody told the reviewers which patches a human wrote. METR is careful about one point, the agents had one attempt and no chance to answer feedback, the way a developer would. So this is not a hard limit on what agents can do. This means a benchmark score tells you the tests pass. It says nothing about whether the code can live in your codebase. This is exactly why we in our teams still check AI-written PRs first. Credits: METR

• 
  Martino Vigiani (@martinovig) reported 19 minutes ago

  @bcherny Boris, I am a 6-month Claude Max user, yet what I noticed was: 1. Context engineering, coherence, and long memory management need improvement. I built a file-based memory system in my huge directory that works but always has problems, as I am not a context engineering expert. It would be great to give Claude better management of these things so it is useful for people who cannot do this themselves. Generally, Claude Code should become usable and simple for anyone. Coding difficulty is something apart. 2. I sincerely dislike the Desktop App a lot. It often gives errors; with slow internet it starts erroring with MCPs, old session management, etc. It would be great to have a skill that lets Claude reorganize my sessions. Lastly about the app: the skills, GitHub integration, etc. are way better on Codex and the UI seems cleaner. However, I am still using Claude due to habit. 3. Sonnet 5 still makes coding errors. Somehow I got many errors on YAML files due to indentation, which Sonnet 5 mistook a lot. - And poor Coding ability. 4. It is too resource intensive. Literally with some MCPs, Claude Code sessions, and some skills it gets so heavy, like 800MB–1.2 GB RAM, and I work with 3–4 sessions in parallel so about 5 GB RAM just for Claude Code. 5. Claude models somehow make many mistakes on their own documentation, not knowing how to explain the difference in the harness between Subagents and Teammates. 6. Weekly limits are not enough (sorry to mention that…). 7. Give the models the ability to spawn new threads, now that they can chat between them. 8. Give them the ability to use /goal with subagents. Like they spawn a subagent with /goal “make that”.

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  Berend de Boer (@berenddeboer) reported 19 minutes ago

  I really liked this article from @victorsavkin . I agree on workflow, but I don't think that's incompatible with a product. So my ready-for-agent tool implements a workflow by taking in GitHub issues as work, but from there it's automated, all the way to create PRs and merge.

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  chirag (@mrnacknack) reported 19 minutes ago

  @arundsharma i think they can, just probably not through github apis they can crawl the repo/pr/issue graph like normal web data, derive these signals into the index, and only recompute repos when their activity change maybe

• 
  Guri Saroy (@HeyGurisaroy) reported 20 minutes ago

  THIS IS INSANE... MIT-licensed repo that lets AI agents search and book flights and hotels. It’s called LetsFG. Instead of opening travel sites manually, your agent can search hundreds of airlines and major booking sites from one interface. → MCP server for Claude, Cursor, Windsurf, and other agents → Python and JavaScript SDKs → CLI with machine-readable JSON → Flight search and booking → Hotel search and booking → Around 1.7K GitHub stars The repo reports saving $133 across 5 flight routes versus Google Flights in an August 5 test. One important catch: the search engine runs on LetsFG’s servers. Flight searches are free for 90 days after auth, which requires a payment method on file with no charge. Hotels have a 10% non-refundable reservation fee.

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  Abhinav Arora (@aroraabhinav1) reported 24 minutes ago

  Codex often reports "gh auth isn't working" And since I know it is, I just copy the output of "gh auth status" and paste it into Codex. That's it. And now Codex can raise the PR. What?? Maybe it's a different shell context. Different Keychain access. Sandbox permissions. Or Codex simply inferred auth was broken, then changed its mind after seeing evidence. But the funniest (and most probable) possibility is that nothing changed in the environment at all. The user response just convinced the agent that GitHub works.

• 
  Arshadsayed (@Arshad_sayed_03) reported 28 minutes ago

  Day 48 coding continuous @ChaiCodeHQ What I implemented today? Solved 5 GitHub Classroom assignments focused on breaking each problem into validations, logic, and output formatting practiced writing cleaner, more structured JavaScript instead of jumping straight into code.