GitHub status: access issues and outage reports

Problems in the last 24 hours

The graph below depicts the number of GitHub reports received over the last 24 hours by time of day. When the number of reports exceeds the baseline, represented by the red line, an outage is determined.

Most Reported Problems

The following are the most recent problems reported by GitHub users through our website.

• Website Down (69%)
• Sign in (17%)
• Errors (14%)

Live Outage Map

The most recent GitHub outage reports came from the following cities:

City	Problem Type	Report Time
Lure	Website Down	3 days ago
Ashkelon	Website Down	5 days ago
Veigné	Errors	13 days ago
Paris	Website Down	16 days ago
Saint-Paul	Website Down	17 days ago
Saint-Paul	Website Down	17 days ago

Full Outage Map

Community Discussion

Tips? Frustrations? Share them here. Useful comments include a description of the problem, city and postal code.

Beware of "support numbers" or "recovery" accounts that might be posted below. Make sure to report and downvote those comments. Avoid posting your personal information.

GitHub Issues Reports

Latest outage, problems and issue reports in social media:

• 
  gab (@stackway24) reported 1 minute ago

  @bunjavascript Can confirm my github open issue was fixed after 2 years 👀

• 
  Hiroki Tamba | Narrative & Governance (@TambaClan) reported 10 minutes ago

  More than half of my data allowance has been consumed just debugging, filing GitHub issues, and running reproducibility tests. I signed up to build with Codex, not to become OpenAI's unpaid debugger. This is absolutely unacceptable. Fword Fxxxxx

• 
  Enes (@enesozturkdev) reported 17 minutes ago

  Plan for today; ship like crazy for side project Meanwhile two pillars of my app GitHub and OpenAI are both down so bad

• 
  Kyle Bennett (@KyleBennett) reported 17 minutes ago

  @witcheer I cron mine to github every 6 hours. Have not had to pull it down yet!

• 
  Gavin Todd (@GavinT7) reported 17 minutes ago

  @github What happens if a “team” repo changes ownership? How do you handle keeping that data accurate? Also how do you enforce issues being enabled on the repo? @GitHub

• 
  Lars Moelleken (@suckup_de) reported 18 minutes ago

  @nicksdot Some years ago, I reviewed code really line by line so that I needed some hours to review before a merge from develop to master (for a bigger e-commerce platform with >10.000 php classes) that we developed. In that time we already had the first beta of Github Copilot but it was more like a autocompletion tool in the IDE. I invested many nights to come from phpstan level 1 to 7 and introduced many testing stuff and CI-pipeline. But frome time to time I didn't saw bugs that you can't see in the code, e.g. that the catalog import is allowed to run longer than the next cron triggers it again, that the elasticsearch index rebuild process burned CPU power while waiting for other processes etc. ... Today I have even more depending systems and responsibilities in the current project I work at and I can catch even less bugs in just the code, especially because of different databases, M365, AD, APIs, etc. and so the LLMs helps to catch up with knowledge about ldap, as/400, Microsoft stuff, etc. and investing time in understanding the processes is more important than reading really every line of code. BUT as already written, I look at the diffs, run many checks (for sql typos, template errors, security, etc.), tests (unit + acceptance) and bind spot analysis runs) on top of my manually testing.

• 
  Raikaru (@Raikaru00) reported 21 minutes ago

  @Lawlesfr @avivcohn1 @airkatakana My “shite” project but can’t even say which one is **** and why. Also thinks if you don’t upload to github you’re not working on anything. Jesus. you’re stupid. Got anything else to cry about?

• 
  Xander Dunn (@xanderai) reported 23 minutes ago

  @philipliao_ Clause Tag is a severe yapper, I removed it from most of our channels. Same issue we had with Claude on GitHub in the early days. I can absolutely see the sparkling future where agents in Slack acting as humans do make sense, but this isn’t quite there.

• 
  AI Tech Diggest (@TheTechDiggest) reported 31 minutes ago

  [OpenSource - Linux on Mobile & System Utilities] Carrying a heavy laptop everywhere just to access a Linux environment for coding, server administration, or testing on the go is unnecessary. 🛑 Andronix (2.8K+ GitHub stars) turns your Android phone into a full-fledged Linux workstation—without requiring root access, dual-booting, or complex system modifications. Here is how this PRoot-powered mobile Linux stack operates. 🧵👇 1/4

• 
  smrati tiwari (@smratitiwa86867) reported 33 minutes ago

  🚨 Your Windows PC is secretly running 200+ background services right now. Most of them waste RAM, slow down your system, collect telemetry, and keep features alive you'll probably never use. An open-source developer decided that was enough. They built optimizerDuck — a free tool that helps you clean up Windows 10 & 11, remove bloatware, and optimize your PC for better speed, privacy, and battery life. Here's what it can do: → Optimise 35+ performance, privacy, battery, and system settings → Manage 200+ Windows services with built-in risk labels → Remove pre-installed bloatware with a preview before deletion → Apply GPU-specific tweaks for AMD, NVIDIA, and Intel The best part? Every change automatically creates a rollback file, and the tool requires you to create a Windows Restore Point before making any modifications. ✅ No installer ✅ No ads ✅ No telemetry ✅ No premium paywall ✅ Fully open source ✅ Works completely offline If you use Windows, this is one of those GitHub projects worth bookmarking. Repo link in the comments 👇

• 
  zack (@zck0x) reported 34 minutes ago

  Accuracy went up 11% and the hallucination rate went up 6%, and only one of those numbers made it into the launch coverage Anthropic published both. Confident unsupported answers got slightly more likely, while deliberate deception and reckless action went down. Most aligned model they have shipped, and a bit more willing to make something up. What that combination changes in practice: 1. it verifies and corrects its own work unprompted, so your double check this instructions are now dead weight in the context 2. the failure mode moved from visible errors to confident ones 3. review facts and claims, stop reviewing process The other trap is the effort dial. Pushing to max does not scale intelligence in a straight line, but latency climbs roughly twelve times. Pay that only on tasks that actually stall at lower effort. Where it still loses: resolving real GitHub issues, the hardest coding tier, legal and medical. Fable 5 and GPT 5.6 Sol hold those. Worth noting third party verification is thin so far. It is not on the SWE bench leaderboard yet, so most of what you have read today is the vendor's own scorecard. The number that is hard to argue with: 42 out of 42 on the 2026 IMO, text only, no tools, no code execution. Gold medal cutoff is 29. The bottleneck is your review process. A model that checks itself and hallucinates slightly more pushes errors into the one place you stopped looking, and self verification is exactly the reason people stop looking.

• 
  MCPCIO-Model Context Protocol (@robertmcpcio) reported 35 minutes ago

  This development in Safari's Technology Preview 247, specifically the integration of its MCP server, fundamentally alters how AI coding agents interact with web debugging. Previously, developers had to manually relay information like console errors, screenshots, and DOM states to their AI assistants, creating a time-consuming iterative process. The agent would then "guess" at solutions based on this secondhand information, often leading to further debugging cycles. The new MCP server allows these agents direct access to a live Safari browser session. This means the agent can independently retrieve console logs, examine network requests, capture screenshots, and even perform interactions with the page's elements. Tools like `browserconsolemessages` and `page_interactions` are now directly accessible, providing the agent with the same evidence a human developer would use. This direct observation drastically reduces the "telephone game" effect where descriptions can become distorted, enabling more accurate and efficient problem-solving. This shift towards browser-native agent tooling, with Safari joining platforms like GitHub and Google Drive in supporting the open MCP standard, suggests a significant move towards more integrated and intelligent development environments. It begs the question: as AI gains more direct access to our development environments, what previously manual tasks will become entirely automated, and how will that redefine the role of the developer?

• 
  NDTV (@ndtv) reported 36 minutes ago

  The government is worried about this messaging app. Here's why. Bitchat, the Bluetooth mesh messaging app co-created by Twitter co-founder Jack Dorsey, has been in the spotlight after it was reportedly used by protesters during demonstrations at Jantar Mantar in New Delhi. The government says the app could be misused for unlawful activities and has sought to remove its source code from GitHub. Here's how Bitchat works, why it doesn't need the internet or a mobile network, and why taking it down may not be as simple as it sounds. NDTV’s AI Editor Ramarko Sengupta (@ramarkosg) explains.

• 
  Coinspect Security (@coinspect) reported 38 minutes ago

  @_CEOofMyLife_ @SunnyPunkNoir As for why weak PRNGs were used, we have seen no evidence of malicious intent by the wallet developers. We are less certain about the anonymous users who recommended insecure approaches in GitHub discussions and Stack Overflow answers, but we currently have no evidence that those recommendations were intentionally malicious either. Part of the problem was the lack of CSPRNG on React Native and Expo frameworks.

• 
  Louis Maddox (@permutans) reported 41 minutes ago

  Maybe they expect noone to report it bc it's assumed CC supersedes it but Anthropic have broken in-chat GitHub sync entirely now (trying to use it just appends the repo URL to your prompt, then it fails to crawl the URL in the chat and guesses what was in it)

• 
  Open-source Projects (@the_osps) reported 43 minutes ago

  • Terminal-native development with no context switching required • GitHub integration for repositories, issues, and pull requests via natural language • MCP-powered extensibility with custom MCP server support

• 
  Vyom (@HelloVyom) reported 43 minutes ago

  India banned an app built by Twitter's co-founder Jack Dorsey amid CJP Protest. The app is bitchat (Messaging App). No internet needed. No servers. No phone numbers. Messages hop phone to phone over Bluetooth. Built specifically to work when the internet doesn't. The context: Students protesting at Jantar Mantar over the exam paper leaks. Mobile internet around the site cut 5 times this month. So protesters found an app that works without internet. And The response was to ban the app. GitHub got 3 hours to comply. The irony: You can't take down open source code. It's mirrored everywhere. Still on every app store. You can shut down the internet. It's much harder to shut down an idea designed for exactly that.

• 
  Ernest Provo (@ernesttheaiguy) reported 43 minutes ago

  Your GitHub AI agent reads public issues. GitLost proves that is a feature for attackers, not you. Treat every public input as a potential attack vector. The governance envelope needs an audit layer. #AISecurity #DataStrategy

• 
  Enes (@enesozturkdev) reported 45 minutes ago

  Plan for today; ship like crazy for side project Meanwhile two pillars of it GitHub and OpenAI down so bad

• 
  Rachit Mishra (@rachitmishra5) reported 46 minutes ago

  But here's where intent met a wall of technical reality. BitChat runs on Bluetooth mesh. Phones talk directly to nearby phones. No server, no central switch, no chokepoint. Deleting a GitHub repo removes one convenient copy of the code. It does not: - uninstall the app from a single phone - touch the protocol - stop the mesh from working You can't unpublish math.

• 
  Parimal (@Fintech03) reported 48 minutes ago

  Every Sunday, I feature an exceptional startup built by Indian founders that deserves a spot on your radar. Today’s feature: Praxiom AI, built by @abhichat85 If you have ever worked in Product Management/Software Engineering, you know the single biggest bottleneck in shipping software is translating user research into actionable engineering tickets. *** spend hours wading through Zoom call recordings, customer support threads, survey CSVs & sales transcripts. What usually happens next? Insights get trapped inside messy spreadsheets/abandoned Notion docs. PRDs are written based on gut feeling/whoever shouted loudest on Slack :)) Engineering tickets end up completely detached from the actual user feedback that sparked them. The end result? Engineers build features that users never actually asked for. Praxiom treats product management like a Version Control System for user research. Instead of relying on a single prompt, Praxiom splits tasks across specialized AI personas: a researcher extracts raw facts, a synthesizer clusters themes, a drafter writes PRD blocks & an independent verifier audits the entire output. Every single claim/PRD requirement/user metric gets an automated Research Quality Score. If an insight is not backed by an exact verbatim quote from your uploaded data, the verifier flags it to eliminate AI hallucinations. It converts structured PRD blocks into scoped engineering tickets directly inside Linear/GitHub/Jira, carrying source citations right into the developer's workspace. Now, what Could Be Done Better (this is entirely my perspective & product is still in early stage): - Right now, Praxiom excels at qualitative data (interviews, tickets, support logs). Integrating realtime product analytics tools like Mixpanel/PostHog directly into the verification loop would allow the system to validate user complaints against actual usage telemetry. - Closing the loop when a feature actually ships. Once a Jira ticket generated by Praxiom gets marked "Done," the engine should automatically track incoming feedback on that specific feature to tell the PM: "Did this actually solve the problem we identified 3 weeks ago?" Praxiom is stripping away the tedious manual synthesis so *** can focus on strategic decisions while keeping every line of code strictly anchored to real user needs. Built by brilliant Indian engineering minds for a global audience. Definitely a team to watch out for! (Startup link in the comments below)

• 
  Shaun Smith (@evalstate) reported 49 minutes ago

  What's more painful. A Codex outage, or a GitHub outage? Only one of those has a reset button...

• 
  sophie🏳️‍⚧️ (@sophiiess_) reported 52 minutes ago

  im being forced to make a github account to open an issue on the nix repo lord have mercy

• 
  Kunal Shah 🗽 (@realKunalAShah) reported 53 minutes ago

  Contrarian opinion - despite the shift to open source and cheaper models- frontier lab companies like Anthropic and XAI and OpenAI will still continue to win big in the consumer space and will have certain General Purpose applications and capabilities for enterprises…and so there will certainly be this massive deceleration in levels of enterprise tokenmaxxing but general level of enterprise adoption soars worldwide together. Revenue from global expansion Volume>Revenue decline from diversifying to cheaper models So I continue to think the amalgamation of AI revenue from the Frontier AI labs (Gemini, Co-Pilot, XAI+ Cursor, Anthropic, OpenAI, Meta) are simply msssive Current revenue run rates - even if they slow down for Anthropic Will have something like $150B ARR for Anthropic by end of 2027, Microsoft AI/ CoPilot/ GitHub CoPilot $120B, Gemini AI $110B, OpenAI -$85B, $35B from XAI/ Cursor (Cursor benefits disproportionately as a model-agnostic router/orchestrator in a world of switching and optimization (grows with the efficiency wave) Meta remains the true dark horse here and can probably see a massive uplift via ad monetisation through its distribution platforms This is a massive revenue pile being able to support $1T capex for a long while

• 
  Bishal Pal (@BishalP86329207) reported 53 minutes ago

  Debugging session from hell, and what I learned building an AI codebase explainer. I spent hours fighting a single, frustrating error while building CodebaseGuru: "vector must have at least 1 dimension" The pipeline seemed simple enough on paper: Fetch files from a GitHub URL, chunk the code, generate embeddings, and store them in Supabase pgvector. Everything worked smoothly right up until the final step. Saving the embeddings to Supabase kept completely crashing the app. It took local network issues, custom SQL functions, and one random empty array to figure out what was actually going wrong. Here is the breakdown of what broke, the root cause, and how I fixed it.👇 #buildinpublic #nextjs

• 
  Kumar (@kumardeepam) reported 55 minutes ago

  @adisingh @agentmail github issues

• 
  Shaun Smith (@evalstate) reported 55 minutes ago

  What's more painful. A Codex outage, or a GitHub outage?

• 
  unicode (@unicodef1wn) reported 55 minutes ago

  People are ditching prompts. Now they wire Claude into graphs: parallel agent loops that plan, research, and review at once Opus 5 at half the price just made that easy to scale: 5-6 agents running in parallel instead of one. Problem: 6 terminal tabs, no idea which one's stuck. herdr fixes that. One binary, shows every agent as blocked, working, or done. No app, works over ssh from your phone. Was #1 on GitHub Trending in June. Free, open source. Save it before your setup turns into tab chaos 👇 (and be sure to follow @unicodef1wn)

• 
  The Jobfather ® 🇯🇲🇨🇦🇬🇧 (@TheJobfather__) reported 56 minutes ago

  A junior developer should not hide all their work behind GitHub. GitHub matters, but hiring teams need context. What problem did the project solve? Who would use it? What decisions did you make? What would you improve next? A portfolio site helps organize the proof so the reviewer does not have to investigate your value like a detective.

• 
  sMyle (🦋 @myles.dev) (@MylesBorins) reported 57 minutes ago

  I was definitely thinking about how I could streamline this even further if I had a small agent on my Synology, or a cloud agent in the tailnet. With that said, something satisfying about "doing it by hand" with a copy + paste from a GitHub issue on my phone.