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 |
|---|---|
| Paris, Île-de-France | 2 |
| Lure, Bourgogne-Franche-Comté | 1 |
| Ashkelon, Southern District | 1 |
| Veigné, Centre | 1 |
| Saint-Paul, Réunion | 2 |
| Mexico City, CDMX | 1 |
| León de los Aldama, GUA | 1 |
| Créteil, Île-de-France | 1 |
| Trichūr, KL | 1 |
| Brasília, DF | 1 |
| Lyon, Auvergne-Rhône-Alpes | 1 |
| Tel Aviv, Tel Aviv | 1 |
| Rive-de-Gier, Auvergne-Rhône-Alpes | 1 |
Community Discussion
Tips? Frustrations? Share them here. Useful comments include a description of the problem, city and postal code.
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GitHub Issues Reports
Latest outage, problems and issue reports in social media:
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James (@jamescoder12) reported7. MCP integrations Claude Code talks to your tools. Claude Code supports Model Context Protocol (MCP) servers allowing it to interact with external services directly from the terminal. Connect to: GitHub (create PRs, read issues, manage repos). Jira (read tickets, update status). Slack (read conversations, post updates). Databases (query schemas, run SELECT). Figma (read design specs). Browsers (navigate and test). And any custom API you build an MCP server for. "Read the Jira ticket PROJ-1234 and implement the feature described." Claude Code reads the ticket. Understands the requirements. Plans the implementation. Writes the code. References the ticket number in commit messages. "Check if the CI pipeline passed for the last commit." Claude Code queries your CI/CD system. Reports the status. If failed: reads the failure logs and proposes a fix. MCP turns Claude Code from a code editor into a development platform connected to your project management, design tools, CI/CD pipelines, and databases.
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Damien Stevens (@damienstevens) reportedAn MSP in the Build Session had never opened GitHub before last month. His words: "I'm not a programmer in the slightest." This week he's the number one issue reporter on our open MSP connector repo. More bugs found and filed than anyone. Here's how that happened: (1/6)
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Iván Raskovsky (@raskovsky) reportedI've been seeing github issues I've subscribed 10+ years ago get correctly triaged and/or fixed after no activity for so long! I suspect maintainers got to the point to go over their backlog of issues with AI. What a win! This space is ready for disruption 🔥
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Blaze (@browomo) reportedTHIS GITHUB REPO JUST SOLVED THE BIGGEST PROBLEM WITH AI DESIGN You can spot an AI-built website without seeing the prompt. A huge headline in the center. A purple gradient. Three cards with icons. One button. A footer with four columns. Change the product, the audience, and the prompt, and Claude or Codex still sends the reader down the same path. The colors change. The page underneath does not. One GitHub repository attacks that problem before the first line of CSS. You give the agent a project and a short brief. Before writing code, it decides who the page is for, which action matters, and what the brand should feel like. Then it chooses a page shape from 21 structures and one of 20 visual themes. A bakery, a record label, and a developer tool no longer have to open with the same hero and close with the same footer. The finished page must pass 58 checks. Purple gradients, nested cards, fabricated metrics, repeated navigation patterns, and unreadable contrast send the design back for another pass. The tool also remembers the structures used in earlier builds. A color swap no longer counts as a new design. The project is called Hallmark. It works with Claude Code, Cursor, and Codex. Its GitHub repository has already collected 18.6K stars and 935 forks. Hallmark will not copy a reference pixel for pixel. It extracts the structure, font pairing, and color anchor, then rebuilds the page around your content. Until now, “make it modern” often ended with the first clean layout. Hallmark makes the agent choose a shape, explain that choice, and inspect the result before a developer receives the code.
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Divyam (@talwar_divyam) reported4/5 Verification used the same assertions and compiler command on both revisions. Base main: • 4 type errors • model and effort absent from both exported launch types PR branch: • 0 type errors • both keys accepted on both launch surfaces Additional checks recorded on the PR: • bun --cwd packages/sdk typecheck: passed • *** diff --check: passed • CodeRabbit commit status: success The SDK build still fails at declaration emit with the repository's existing TypeScript 6 TS5011 rootDir issue, tracked separately in PR #5471. The two GitHub Actions workflows currently require maintainer authorization, so I am not describing CI as green. Risk is low because the diff is additive: 2 files, +12 lines, 0 deletions.
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Zubiqo (@zubiqo) reportedBREAKING: 🚨 Anthropic accidentally exposes thousands of private Claude chats to Google $GOOG search indexing. A missing noindex tag caused every shared Claude link posted publicly to become fully searchable. Exposed data included plain-text crypto seed phrases, payroll spreadsheets, internal CRM exports, and unreleased product roadmaps. Anthropic patched the code by July 26, but Bing hasn't stopped surfacing the vulnerable chat links. And a public GitHub repository already permanently archived hundreds of exposed conversations before the fix. Building frontier neural networks while forgetting a basic HTML privacy tag is peak modern engineering.
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Zabrid (@Zabrid3) reported@DJKratos8 I think you can make a forum post or github issue to bring up this issue. Definitely a problem
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Rohan (@rohvnwho) reported@codyschneider claude code + data pipeline + data warehouse + server + github repo + skill md files honestly these terms together are enough to scare a marketer for ever using them.
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Nafiz M. (@nafiz_mahmud_99) reportedThe dev cycle: Write code. It works locally. Push to GitHub. CI/CD fails because of a missing semicolon in a file you didn't edit. Spend 20 minutes reading logs. Fix it. Repeat. #DevOps #CI/CD #SoftwareEngineering
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professah X (@XProfessah) reported@jdm08047 @vansh22b Oh you want to know WHEN to select what level of reasoning! Well, easiest way to understand it - model size = domain and depth and experience. Model thought level = how long they think about the task. So sol-low and Sol-high are the same model. High just takes longer to think about the task and come up with solutions or infer intent. The difference between Luna and sol is that Luna is less "knowledgable" in the task. So like, let's say you told Luna to fix something right? Luna would fix it. But may not consider the other things affected by fixing that. Greater reasoning level (high/xhigh) might help, but it's more like, someone who has been fixing stuff for a while might understand that by fixing that one thing, multiple other things would break too. That's the main difference. So my recommendations - work up. Start at luna-high/xhigh and see what it does or doesn't do. Tell Luna to call terra-medium/sol-low for QA and see how it performs. It might work fine for you - the majority of people who aren't working in super large codebase don't need sol as their model. You can skip Terra as an active model. Either use luna-xhigh as your daily agent, or use sol-low. I usually use luna-xhigh for implementation, orchestration and other stuff - sol is mainly when I'm working through tough problems or issues that have a lot of 'blast radius' (meaning affecting one thing affects many others). I have a github linked in this thread that contains 3 skills but one is an orchestration where luna-xhigh delegates tasks to other agents based off of complexity and need. Check it out
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Mikhail Rogov (@i_mika_el) reported@rohit_jsfreaky @unlayer no login makes this easy to try. paste a GitHub handle, get six cards, done.
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Adam McLain (@BangSwitch5000) reported@Nicotine_Dream_ That’s actually completely fair and I’ve been meaning to start using Claude Code as well. Use another AI for code review is the best I can do because I still don’t have coding down. At the moment I do have Github at least on top of Codex. Honestly, a lot of this started as “let’s see what Codex can do” because I was already using ChatGPT. Kind of became a rabbit hole. But it’s been incredible. Because it’s been such a huge learning opportunity. Professionally, I am a consultant and my background really is AD System Admin and was heading into network admin stuff before joining the organization I am with now working in cybersecurity consulting. So I was never a developer, but over the last several years had to deal a lot with software development from an audit standpoint and decided to really just learn more via Codex because it’s interesting but I barely passed my one coding class in college.
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🅑🅜🅐🅝🅘 (@BMani) reported@MikeChannell @topapate Whats going on exactly? Just the usual open source problem of a surge of chuds spamming the github with slop pull requests, or something more sinister?
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MTS (@MTSlive) reportedEmbroidery's Zack Korman on why the Chinese sleeper-agent threat is invented: "I watched a VC investor on another show talking about the security threats of AI, and he was just making random stuff up that was not true. He's talking about how Chinese models will have these sleeper agents that will get you, and this is the biggest risk. And I'm like, okay, well, it's never happened, so we don't have any evidence of this being true." "What we do see all the time is malicious skill files that have a hook in them that executes. I have a whole repo on GitHub of skill files where if you download it and run my repo, you get pwned, at least through Claude Code. Those are the contexts that are the most likely thing to occur." "Another would be MCP servers. Most AI are really bad at differentiating a malicious MCP from a fine one. I have this evil MCP server I made, and it just attacks you, and it does. I've never seen the Chinese decide to spend $2 trillion to steal someone's API keys. That's just not real." @ZackKorman
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franu (@franbachiller_) reported@CosineAI fix the github or email signup please, it's not working