GitHub Outage Map

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GitHub Issues Reports

Latest outage, problems and issue reports in social media:

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  Hαlk 🐦 (@HalkLiff) reported 2 minutes ago

  @FlavioScim @saltyAom It's in an ideation phase, but the itch I have couldn't be scratched by existing frameworks. I will formalize an RFC soon in my Github, I feel down in my guts there's something worth the hassle here.

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  Tony Tong | Founder | Ancient Systems x AI (@tonytonggg) reported 4 minutes ago

  @gowthamshankaar Loop Engineering is a good name for something builders learn the hard way on their own repos. I maintain a hiring automation project on GitHub, and by December 2024 the loop forced a full restructure, not a feature, just tearing down what earlier build/test cycles left behind.

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  Aryan Pardeshi (@Jasper_ARYAN) reported 7 minutes ago

  they are so setarious, i even noticed this in their github issues/prs

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  AI Genesis (@AIGenesis_) reported 8 minutes ago

  - Claude = coding. ($20/mo) - Supabase = backend. (Free) - Vercel = deploying. (Free) - Namecheap = domain. ($12/yr) - Stripe = payments. (2.9%/transaction) - GitHub = version control. (Free) - Resend = emails. (Free) - Clerk = auth. (Free) - Cloudflare = DNS. (Free) - PostHog = analytics. (Free) - Sentry = error tracking. (Free) - Upstash = Redis. (Free) - Pinecone = vector DB. (Free) Total monthly cost to run a startup: ~$20 There has never been a cheaper time to build.

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  Dorien Vibecodes (@DorienVibecodes) reported 8 minutes ago

  @Remi_joel_ @DanKulkov That's what I'll be doing too. I adapt Claude skills in Antigravity all the time. No issues at all. Just send it the Github link & ask it to adapt it for use within Antigravity.

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  MicrocutsD (@sundaysmy) reported 9 minutes ago

  Anthropic started hiding something in @claudeai text on August 2nd. Not metadata, not a pixel, a signal baked into which words the model picks over which others. An open-source project claiming to strip it hit @github within 24 hours. Nobody has proven it actually works. The date isn't a coincidence. August 2nd is when Article 50 of the EU's AI Act took effect, requiring AI output to be identifiable. @AnthropicAI signed the EU's transparency code and rolled the watermark out worldwide rather than just for European traffic, since maintaining two separate model behaviors is worse engineering than picking one. The mechanism only makes sense once you drop the pixel metaphor entirely. At every word, the model is choosing among several roughly equal candidates. A key known only to Anthropic splits those candidates into two arbitrary pools at each step and nudges the pick toward one pool slightly more often than pure chance would. One word tells you nothing. A thousand words accumulate a pattern nobody stumbles into by accident, the way two dice rolls prove nothing but a thousand rolls expose a loaded die. Hiding a mark where only the initiated can find it is a very old idea. Paper mills in Fabriano pressed watermarks into wet pulp back in 1282, invisible until held to the light, a miller's voluntary signature vouching for his own paper. Centuries earlier, Herodotus described a message tattooed onto a shaved scalp and sent once the hair grew back over it, readable only by someone who already knew to look. Claude's mark inverts both: nobody is vouching for anything, and the person the mark tracks is the one kept in the dark about it. Within a day, a GitHub repo claiming to remove the mark passed 4,500 stars. Its own README admits it only strips Unicode junk and file metadata, not the actual statistical signal, and argues a real fix isn't worth building anyway: erasing the pattern means rerouting the text through a weaker model, which caps a premium model's output at that weaker model's ceiling. A handful of paid sites sprang up promising undetectable text regardless. None of it is checkable, because Anthropic never published a detector for anyone to test their claims against. The fragility runs deeper than any one tool's rollout. The mark lives in specific word sequences in a specific order, so rewording breaks it by design. One independent test found a full rewrite in your own words leaves roughly 0.5% of the original signal standing. Translate the text and back, and it's essentially gone. Google's SynthID catches unedited text 99.8% of the time, then drops under 30% after a single paraphrase pass. Short text fails for a separate reason: a tweet or a line of code rarely offers enough equally-good word choices to carry a reliable pattern in the first place. What the mark actually proves gets lost in all of this. It doesn't mean a machine wrote something. It means the text passed through the tool at some point, even if all you asked for was a grammar check or a translation of your own paragraph. And no mark proves the opposite either: everything written before August 2nd carries none, and most competing models still don't watermark at all. Same trace whether the model wrote the whole thing or fixed one of your sentences. What is that actually supposed to prove?

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  nee-toh @ home (@netonoe3) reported 11 minutes ago

  @IsThatDecay i had this issue and i was trying to fix it for a long time, at one point i gave up and reinstalled windows you can try ramlimiter from github to limit obs's ram usage but im not sure if its gonna be fine try tweaking gpu and obs settings(and using borderless)

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  Kasim Mustapha (@mustaphaDevFS) reported 14 minutes ago

  How do you track bugs? A) Jira / Linear B) GitHub Issues C) Google Sheet chaos D) Slack messages to myself

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  arzafran (@arzafran) reported 15 minutes ago

  cli showed a pile of failed jobs. github was down. same outage wearing different hats

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  Bash (@bashirbuilds) reported 16 minutes ago

  Reeno helps SaaS founders catch third-party service failures before customers do. It monitors services like Stripe, GitHub, OpenAI, Resend, Clerk, and other external APIs, groups repeated failures into clear Problems, shows which Product Features may be affected, and verifies Recovery with real evidence.

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  ~ Senior Man Kelz~ (@Kay_seeh) reported 16 minutes ago

  This GitHub action issues sha has still not been entirely fixed. Well, I wouldn’t have know this because my team uses Gitlab. I rememeber when I first used it, wasn’t a fan, but maybe gotten used to it now. Still prefer GitHub though.

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  Nitesh (@NiteshTechAI) reported 18 minutes ago

  Text-to-SQL demos always work. Then someone asks about revenue and the model invents a join. @getwrenai puts a governed semantic layer underneath the query. Business definitions, approved examples and metadata live in version-controlled files, so the agent plans against your meaning instead of guessing from column names. • 22+ data sources • Dry-plan validation and row limits • Structured errors with hints, not stack traces • Dashboards ship to Vercel or Cloudflare with one command One caveat worth knowing: it is open core, and row and column level security sit in the Cloud tier. ⭐ 17,000+ stars on GitHub. Apache 2.0. 🔗 GitHub link in the comments

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  Teknium 🪽 (@Teknium) reported 19 minutes ago

  Man github has been so unreliable this month. I see why openai had to make their own lol CI keeps failing from infra issues on github, sometimes the entire site is down :(

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  AI for all (@__aiforall__) reported 22 minutes ago

  OpenCut just crossed 83k GitHub stars — a free, open-source CapCut alternative that runs entirely in your browser, no upload, no account. It's mid-rewrite: Rust core, plugin-first architecture, and an MCP server so AI agents can drive the editor directly 🎬

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  Andrew🧑‍💻🎹💰🇪🇺 (@ac23me) reported 22 minutes ago

  Is it just me - or is the AI dopamine rush throwing all security practices out of the window? Before, committing **** secrets to Github or accidentally sharing in Slack required rotation - now, Claude Code auto-mode gobbles them up - sure no problem! What am I missing?