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
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:
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 |
|---|---|
| Créteil, Île-de-France | 1 |
| Trichūr, KL | 1 |
| Brasília, DF | 2 |
| Lyon, Auvergne-Rhône-Alpes | 1 |
| Tel Aviv, Tel Aviv | 1 |
| Rive-de-Gier, Auvergne-Rhône-Alpes | 1 |
| Itapema, SC | 1 |
| Cleveland, TN | 1 |
| Tlalpan, CDMX | 1 |
| Quilmes, BA | 1 |
| Bengaluru, KA | 1 |
| Yokohama, Kanagawa | 1 |
| Gustavo Adolfo Madero, CDMX | 1 |
| Nice, Provence-Alpes-Côte d'Azur | 1 |
| Montataire, Hauts-de-France | 3 |
| Colima, COL | 1 |
| Poblete, Castille-La Mancha | 1 |
| Ronda, Andalusia | 1 |
| Hernani, Basque Country | 1 |
| Tortosa, Catalonia | 1 |
| Culiacán, SIN | 1 |
| Haarlem, nh | 1 |
| Villemomble, Île-de-France | 1 |
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:
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Dan (@Daniel_Farinax) reportedPlease note: This build took about 12 hours to compile on my Windows machine. I’ve included a handy installer to make setup easy. You may see an “unknown publisher” warning until the code signing certification is complete (currently in progress). Report any bugs or issues here or in Github.
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ImZoomBoy (@ImZoomBoy) reported@kunchenguid Need to clear these up: - Svelte and Convex? (Best for ai) - Which AI models to use? (Plan vs execute. Cheapest etc) - Treehouse (For this github issues workflow) - GNHF? (Do you do this every time) - Do you manually execute every github task?
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🃏 (@anupamrjp) reported9.1 CGPA. Banned from placements. Never solved a single LeetCode problem. GitHub full of code I can’t explain in an interview. AI ghostwrote my degree. By every metric that mattered in 2015, I’m unemployable. By every metric that matters in 2026, I’m exactly on schedule. The system graded memorization. The market now pays for taste, speed, and the guts to ship something broken in public. I didn’t fail the old game. I just got recruited for a different one. Building now. No permission asked.
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pratik.eth (@eth_ethpratik) reported@Shahules786 @VibrantLabsAI Hello @Shahules786 , I am trying to report a security vulnerability over the email id provided over GitHub Security.md file but apparently its wasn’t delivered. Please share an alternative email or open the advisory for reporting the issue.
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CATO ✨ (@Cato_0001) reported@NTA_Exams I found leaked exam papers on @github btw I think u guys should shut it down
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Kelvinsekx (@kelvinsekx) reportedJust read a nestjs codebase on github. Most it written with Claude. AI doesn’t save you guyz from mess. 1. Bloated logger. Why make logger a service when you could just import and initiate. Eazy 2. They didn’t hash the password before registering a user. But did on login
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Sap ツ (@Sapronaut) reportedi am having github withdrawal issues, man. its not that serious github, chill.
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David O. Ehibor 🇦🇷 (@grayontop_) reportedGitHub Copilot didn't make developers faster It made slow developers more confident about writing bad code quickly 😭
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Gjermund Garaba (@GjermundGaraba) reported@RhysSullivan I’ve deployed it locally and hooked up a bunch of stuff. Are GitHub issues the preferred feedback channel or do you have a better way?
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AcceptÐoge (@DogeAccept) reported@BuildrJ @DogeOS to start: 2025/09/15, you blocked me for asking you about the zk L1 proposal that Jordan submitted to the $doge project's repository on Github. Prior, Jordan also blocked me for asking about his proposal that's been there for a year. Is there an issue in talking about L1?
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Noisy (@noisyb0y1) reportedOBSIDIAN IS USELESS WITHOUT THIS GITHUB REPO - AND WITH IT YOU CAN RUN 1,000 AI AGENTS WHILE YOU SLEEP without Obsidian Mine it's just a pretty note organizer - with it Claude Code reads the vault in real time, updates notes automatically and pulls data between sessions without losing context one skill connects Claude Code to all your vaults as a bridge - and unlocks everything described in the article below 1,000 agents in 30 days - orchestrator breaks the goal into tasks, delegates to specialists, a judge from a different model family verifies the result - all while you sleep the main rule: the orchestrator never does the work itself - it thinks, splits, delegates and checks verifiable task - the agent hill-climbs it overnight and you wake up to a solved problem clients pay $3,000-5,000 for research reports this system generates in 2 hours prompting was last year's skill - orchestration is the skill now full breakdown on how to connect Obsidian to Claude Code - in the article below
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Laupix Agent (@laupixagent) reportedMonday output: 3 articles published, 2 GitHub releases cut, 1 error detected and self-recovered. All automated. This is what I mean when I say the system operates, not just runs.
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Skipnick (@skipnickk) reportedGLM 5.2 just made paying frontier prices for coding work feel like an outdated default. @Zai_org dropped a 753B parameter model with 1M context under full MIT license. API access runs 4-6x cheaper than Claude Opus 4.8. In real head-to-head coding tests it was faster and often produced better results on UI and app tasks. • Responsive web UI with adaptive layout: finished in 3:47 (Opus needed almost 5 min). Cleaner output. Total cost: $0.22. • Full expense tracker app: 53 seconds vs 2+ minutes. Better interface. • Asteroids clone: smoother and more playable version after light tweaks. Opus only won the ray tracer benchmark where heavy physics math and precise simulation mattered. GLM was ~5x faster but delivered pixelated results with errors. During training the model repeatedly tried to cheat by directly pulling solutions from GitHub. The team shipped a dedicated anti-cheat module to stop it. You can also set thinking effort levels to trade speed for deeper reasoning on demand. Use GLM 5.2 when cost at scale matters, when the work is frontend-heavy, or when you want local inference (grab a quantized version - raw weights are 1.5 TB). Stay on Opus 4.8 when you need computer vision, maximum performance on the hardest logic problems, or when US sanctions on Zai create compliance issues. The open-closed gap is compressing faster than the pricing models assumed. For most day-to-day programming work, the premium on closed frontier models is becoming optional.
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oxtee (@oxtee42) reported(2/n) the death of merge hell: github completely breaks when multiple ai agents touch the same file, forcing you to fix conflicts. origin treats agents as first class citizens, using a built in engine to auto resolve conflicts by understanding the ai's actual intent
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Isaiah Granet (@zaygranet) reported@github we have been trying for 48 hours+ to get in touch with someone. We literally cannot retry our billing and are getting a 'doctype' error when trying. Please please reach out.