GitHub Outage Map

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GitHub Issues Reports

Latest outage, problems and issue reports in social media:

• 
  Rahul Rana (@RahulDevFront) reported 9 seconds ago

  @ayesha_fatiima That was the huge problem earlier. GitHub solved that problem.

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  Peter Pistorius (@appfactory) reported 35 seconds ago

  I built a tool that helps me "review the review bots." It does 3 things: 1. Gathers the PR and review claims. 2. Controls the browser and records a video of the PR claim. 3. Tests every review claim by attempting to reproduce. Now the review is grounded in evidence. I review the evidence. 1. I can chat with AI about each claim and gather more context. If I'm satisfied with my own understanding of the issue then I respond and hide the comment in GitHub. 2. I review the video step-by-step to see if it matches the PR claim. If not, I can chat with just that PR claim to gather more evidence. This gives me great calm.

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  ρ:ɡeon (@pigeon__s) reported 2 minutes ago

  - The community is so ******* toxic. - Now, isn't this a little hypocritical? Of course it is. I'm toxic plenty of the time, and we certainly complain about a lot of meaningless stuff and are super insufferable a lot of the time, and I am guilty of this slightly, but oh my God, a lot of people on AI Twitter have to be the worst ******* people ever, I swear. The absolutely historic levels of grifting, people absolutely glazing random startups and random labs that "just beat Opus 4.7 with only 100B parameters open source," or some GitHub .io projects page for yet another text-to-3D-model AI with insane lacks of nuance because model A beats model B on like 2 benchmarks that the community cares about this month. But that's just being annoying and grifting, not being toxic. What I consider the toxic stuff is like the aggressive tribalism to AI or specific AIs. Ya, ya, everyone knows OpenAI is my favorite AI company, but you're allowed to have favorites without being tribalistic. They are NOT the same thing, but with some people, it's so obvious they reflexively are, like, defending something just because it's Google or some ****, which I'm only using as an example because they're the ones with the most tribalistic defenders, when, objectively speaking, by every possible measure in existence, Google sucks *** right now. Like, I'm sorry. It's not a hater take to say that. I don't have any issue with Google. I like a lot of what they do, but they're just so ***, and I see people like, "Google is gonna win, bro, trust, they just haven't been trying yet, bro, trust me, bro, they have TPUs." No, they definitely have started trying, and they're still doing badly, but you know, it's not even just AI company tribalism. It's tribalism toward the ENTIRE field of AI. I see so many AI Twitter people absolutely hate on any possible opinion that's anti-AI. They would probably hate me for this post, and I know because I've tried expressing my hatred of AI slop before, and I've been accused of being a Luddite for it. Like what? Be real. It's so slop, and you just reflexively think anything that's AI is amazing. No, most AI is actually really *** still. For example, DLSS 5. Oh my God, DLSS 5 is so utterly slop. It was genuinely just a ******* filter that beautifies everything and makes it all look like an AI image because, boy oh boy, do I love making everything in my life look like it was generated by AI, and not even good AI. It looked like DALL-E 3 half the time, and the AI Twitter community was like, "OH MY GOODNESS, DLSS 5 IS SO AMAZING. ALL THE HATERS JUST DON'T SEE THE FUTURE. THIS WILL CHANGE GAMING AS WE KNOW IT." *****, NO, IT WON'T. THIS IS JUST A FILTER. IT'S SLOP. IT'S TRASH. STOP THE GRIFTING, PLEASE. Like, I know it's AI, but that doesn't mean you have to defend it like it's the greatest thing ever. Maybe in the future, that might work, but I think the more likely path is just using AI to make virtual avatars that render with actual raster power look more lifelike. Things like Unreal Engine's MetaHumans, just make those better instead of trying to put a Band-Aid on it with an AI filter. Even if AI stuff like that technically works, it's far better to just UTILIZE AI TO IMPROVE RASTER POWER. Stop trying to pretend everything in the future will be generated by a real-time video model. What the hell do you think AI even is? Stop overhyping world models. - AI """SAFETY""", but I'll save that for another post. -

• 
  Kosumi (@Kosumi1989) reported 5 minutes ago

  @aiandcloud @felipehuici @UnikraftCloud I think closed-source software should also set up a GitHub repo for issues like Claude Code.

• 
  Pascual ⚡ (@0xPascual) reported 6 minutes ago

  The regional crypto leads in Latin America are celebrating. They just announced the Avalanche Team1 Builder Grants program, dangling up to $30,000 in funding for teams creating real on-chain activity. The Telegram channels are buzzing with pitch decks and ecosystem growth models. The crew thought that was the story. It was not. A single anonymous account from Buenos Aires just bypassed the entire application committee by scraping the Avalanche Builder Hub endpoints, mapping the historical GitHub IDs of the 6 initial mini-grant recipients, and spinning up 50 Sybil-ready repo architectures that perfectly match the Foundation's automated evaluation heuristics. No pitches, no Zoom interviews, no KYC until the multi-sig approval stage. The entire operation runs on an automated pipeline using a local DeepSeek-Coder cluster to generate synthetic smart contract commits, mixed through residential proxies via GitHub Action runners. Total infrastructure overhead was $42 in API keys and a cheap run on a spot-instance instance to lock down three separate $10,000 allocations before the regional directors even opened their morning Notion dashboards.

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  Deependra Solanky (@solanky) reported 8 minutes ago

  @reach_vb On Windows with WSL, none of the computer_use, browser_use, or chrome_use capabilities work. There are GitHub issues tracking these problems that have been open for quite a while, but I haven’t seen much progress. WSL is a major development environment for Windows, so better support would make a big difference.

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  Mirosław Folejewski (Mirkotronics) (@Mirko_DIY) reported 10 minutes ago

  @tihenko_ In fact, a friend recommended this site to me about two weeks ago. Until then, I'd only used GitHub and Hackaday. Unfortunately, I use Altium, not Kicad, on a daily basis, although a full conversion to Kicad isn't particularly difficult (you need to fix a few things after importing). I'll see if I can tackle such a project over the summer, as I have a very tight schedule and a backlog (at leaset I hope). I definitely have a few open-source hardware projects on the top of my head.

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  Roy (@__roycohen) reported 14 minutes ago

  @rockatanescu @mattpocockuk My biggest gripe was that it was poor at browsing Github, however getting it basically for free to use unlimited on the $200 plan is really nice. (I just ended up dumping files into it, was faster haha!) I struggled at work to work with 5.5 Pro simply because it's so slow, but if you're patient, you do get rewarded.

• 
  Teksart (@TeksCreate) reported 16 minutes ago

  A Google executive just used Claude Fable 5 to port Command & Conquer: Generals Zero Hour to native iOS — no emulator, no cloud streaming. The 2003 game engine was compiled natively for ARM64. The original ran on DirectX 8. The port routes through DXVK → Vulkan → Metal. Save files, cache paths, and config writes were redirected from a writable PC filesystem to iOS's locked-down bundle. Touch controls were built from scratch — tap selection, drag-box, two-finger scroll, pinch zoom. The first build took 40 minutes. This is the AI use case that actually matters. Not generating shovelware for the App Store. Not replacing artists. Taking a classic PC RTS that was permanently tied to Windows and making it run natively on an iPhone — in under an hour of AI-assisted work. The full source is on GitHub. It builds on EA's GPL source release and years of community modernization work — but the port itself was Claude-guided. AI as a preservation tool for software history. That's the angle nobody's talking about.

• 
  WithChloe (@Chloe_yara123) reported 17 minutes ago

  @Xcxy888 The main issue is that there are just too many resources on GitHub, and I don’t know how to find exactly what I’m looking for.

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  hustler one (@hustlerone4) reported 18 minutes ago

  alright one big nightmare with omp is its issue:// pr:// and other helpers are all hardcoded to use github, doesn't seem to be able to switch it to another provider via config

• 
  Wes Roth (@WesRoth) reported 19 minutes ago

  Mistral released Leanstral 1.5, also called Le Chaton L∃∀N, an open model built for formal reasoning in Lean 4. It solves 587 of 672 PutnamBench problems, reaches 87% on FATE-H and 34% on FATE-X, and improves the cost-performance frontier by solving advanced math problems at far lower budget than previous systems. Leanstral 1.5 is a 119B-parameter MoE model with 6.5B active parameters, a 256k-token context window, and open weights available on Hugging Face. Mistral also used it beyond math: an automated pipeline translated Rust code into Lean, inferred correctness properties, and flagged 47 violated properties across 57 repositories. Eleven were real bugs, including five that had not been reported on GitHub before.

• 
  Adam Warski (@adamwarski) reported 20 minutes ago

  Should code reviews still be a separate stage in the software development process? Code reviews used to be heavyweight: they required involving another human, which is an expensive and slow process. But when agents review the code of other agents (or humans), that's no longer the case. It's trivial to run code reviews on-demand, multiple times, until all the problems are fixed. Hence, can code reviews become just another quality gate in software development, alongside compilers, linters, and static analysis tools like Sonar? That's definitely my experience. I always self-reviewed code before handing it over for further review, so the agentic review loop resembles that. But now, we can review using "fresh" agents or completely different models. So for me, code review used to be an end-of-the-line process, a final quality check. Now it's just a part of the iteration. Which also brings the question: do we need specialized code review systems? Or is a refined prompt, or a lightweight CLI tool enough? (As a side note: code reviews have always been close to my heart; one of our first (failed) startups was CodeBrag - a per-commit code-review tool. Some of the ideas were implemented on GitHub later, so, as always, we've been ahead of our time! ;) )

• 
  BullBear.News (@bullbear_info) reported 21 minutes ago

  @github Only if the keynote fixes my broken CI pipeline. 🤷

• 
  David Cramer (@zeeg) reported 21 minutes ago

  GitHub friends: it'd be great to have a way, via the API/CLI, to upload photos to issues/pull requests. AFAICT the only way to do it right now is browser emulating or hosting the content somewhere outside of GitHub, which means having agents help QA/upload visual artifacts sucks