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GitHub

GitHub Outage Map

The map below depicts the most recent cities worldwide where GitHub users have reported problems and outages. If you are having an issue with GitHub, make sure to submit a report below

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The heatmap above shows where the most recent user-submitted and social media reports are geographically clustered. The density of these reports is depicted by the color scale as shown below.

GitHub users affected:

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GitHub is a company that provides hosting for software development and version control using Git. It offers the distributed version control and source code management functionality of Git, plus its own features.

Most Affected Locations

Outage reports and issues in the past 15 days originated from:

Location Reports
St Helens, England 1
Nové Strašecí, Central Bohemia 1
West Lake Sammamish, WA 3
Parkersburg, WV 1
Perpignan, Occitanie 1
Piura, Piura 1
Tokyo, Tokyo 1
Brownsville, FL 1
New Delhi, NCT 1
Kannur, KL 1
Berlin, Berlin 1
Newark, NJ 1
Raszyn, Mazovia 1
Trichūr, KL 1
Departamento de Capital, MZ 1
Chão de Cevada, Faro 1
New York City, NY 1
León de los Aldama, GUA 1
Quito, Pichincha 1
Belfast, Northern Ireland 1
Guayaquil, Guayas 2
Irvington, NJ 1
Araçagi, PB 1
Siegburg, NRW 1
Teófilo Otoni, MG 1
Toronto, ON 1
Voiron, Auvergne-Rhône-Alpes 1
Cochin, KL 1
Surrey, BC 1
Montévrain, Île-de-France 1
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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:

  • andreujuanc
    Juan C. Andreu 🦇🔊 (@andreujuanc) reported

    Hey @github fix the actions FFS

  • jfreddy82g
    Mr.Pando (@jfreddy82g) reported

    As of April 9, 2026, GitHub is experiencing service disruptions, particularly impacting Copilot Cloud Agent jobs and causing performance issues for some services. Users have reported delays Microslop has done again

  • ehansalytics
    Ed Hansberry (@ehansalytics) reported

    @WindowsLatest Everyone is burnt out on that Copilot icon and the brand. They need to start over. Bring it back as Cortana or something new. Leave Github Copilot alone - it works quite well. Burn the rest down.

  • louis030195
    louis030195 (@louis030195) reported

    @corybytheway @RewindAI Sorry to hear about the iMac Pro issues! Intel Macs can be tricky. We've made big improvements in recent versions - v22 has better Intel support. Would love to debug this with you. Can you share what error you're seeing? Join our Discord or open a GitHub issue!

  • DarraFitz
    Darra XRP Lord🇮🇪 (@DarraFitz) reported

    Anyone else’s GitHub having a mental breakdown, getting a random pop up to login

  • SimCabana
    S. Cabana (@SimCabana) reported

    Asking claude to try to reproduce the issue with a minimal setup, we'll see. If I can get a sample that does the same, I'll push it to my github. If not, I'd be more than willing to connect and show our setup.

  • cyph9z
    Patrick (@cyph9z) reported

    @francoisfleuret Github automatically scanning all repos for security vulnerabilities before commits can be publicly published would be a good start. That's half of the problem, and it'd catch supply chain attacks too.

  • e_womer
    EWomer (@e_womer) reported

    @github How long before you get shut down because of Micro$lops AI powered enshitification of Github?

  • lmqlai
    Terafab (@lmqlai) reported

    @Copilot Copilot is acting weird. I created a PR in GitHub, and GitHub Copilot left comments. Then I asked Copilot in Microsoft Edge for suggestions on those same comments. It suggested some fixes, I applied them, pushed the changes, and ran Copilot review again—now it’s asking for additional changes that conflict with what Edge Copilot suggested. Has anyone else noticed differences or even conflicting suggestions between GitHub Copilot reviews and Microsoft Edge Copilot for the same issue?

  • pankajkumar_dev
    Pankaj Kumar (@pankajkumar_dev) reported

    Claude Opus 4.6: 67% Drop in Thinking Depth - GitHub issue #42796 highlights a 67% drop in thinking depth since late February. - Developers report shallower reasoning and mistakes like editing code without fully reading files. - Anthropic links this to the redact thinking 2026-02-12 header, which hides reasoning from logs. - There is speculation that compute is being throttled, possibly ahead of a new Mythos-tier release. - Workarounds: use /effort high, disable adaptive thinking, and prioritize correctness in configs.

  • excesstigress
    ♡ excess ✨ (@excesstigress) reported

    @CsAbyssalLight @_potatobag yeah, it was under a force loaded chunk so in theory it shouldn't have happened, but it did i also read a few reports on github about windmills etc going over chunk borders just despawning lol. seems to be an entity issue in general

  • jeffmacguy
    Jeff Mitchell (@jeffmacguy) reported

    @ForeverPlatypus @TommyWhitehill @Math_files If the problem is so small and easy, providing an exact answer is easier than providing an estimate. If you want to teach the concept of estimates, use an example that is worthy of an estimate, for instance: Carol added 23702 lines of code to her teams GitHub codebase. Testing indicated there were 8439 errors. Is it reasonable that Carol will be fired from her job the next day? Explain your answer.

  • feral_erectus
    Feral Sapien Erectus (@feral_erectus) reported

    @steipete I have 0 github issues. You need to make commit hooks and a security bot that checks the work before being committed.

  • msvadari
    Mayukha Vadari (@msvadari) reported

    @Lou_Matalonga If there are gaps in the documentation, please open issues in Github so that they are addressed. Feel free to ask questions in Discord if you end up in one of those gaps, the community tends to be pretty responsive there.

  • bulhosa
    Daniel Bulhosa Solórzano (@bulhosa) reported

    For this generation of models, Github seems like a great source of training data. Nowadays I just have models write full PRs, I review them on GH, then have the model pull down the comments to discuss a plan to fix. I'd rather do that than a multi-page feedback prompt.

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