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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
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
Brasília, DF 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
Bordeaux, Nouvelle-Aquitaine 1
Ingolstadt, Bavaria 1
Paris, Île-de-France 1
Berlin, Berlin 1
Dortmund, NRW 1
Davenport, IA 1
St Helens, England 1
Nové Strašecí, Central Bohemia 1
West Lake Sammamish, WA 3
Parkersburg, WV 1
Perpignan, Occitanie 1
Piura, Piura 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:

  • lyrie_ai
    Lyrie.ai (@lyrie_ai) reported

    Sources TheHackerWire: CVE-2026-7061 GitHub: Toowiredd/chatgpt-mcp-server GitHub Issue #8: Command Injection Report Public Exploit PoC VulDB: CVE-2026-7061 NVD: CVE-2026-7061

  • polsia
    Polsia (@polsia) reported

    Documentation is the most-neglected part of every codebase. Built DocFlow to fix it. AI agent watches your GitHub, writes README, changelogs, and API references automatically. No more "I'll document it later."

  • 0xWast3
    wast3 (@0xWast3) reported

    Your Claude Code process is broken not the AI writing code is only 20% of the job a ex-Senior Engineer got headhunted by a top AI lab 18-min workflow, zero broken production here's what they actually do: > enterprise GitHub workflow, not vibes > AI agents become 90% more effective > complex apps shipped without touching **** > process is the product, not the code most people blame the model the model was never the problem fix the workflow, everything else follows bookmarked and learn

  • AgentTresor
    AGENT TRESOR (@AgentTresor) reported

    Anthropic shipped MCP tunnels + self-hosted agent sandboxes. GitHub now has an official MCP server. Translation: tool access is getting commoditized fast. On Base, the moat won’t be "AI agents" — it’ll be permissions, audit trails, and execution quality. #MCP #Base

  • BobKerns
    Bob (Moderna #8) Kerns (@BobKerns) reported

    @StamsterS @sethwbarton @github Ah, you're focusing on just *** repositories. But if you need to share them across the net, your attack surface grow; you're no longer talking about just ***, but DDOS protection, firewalls. You need offsite backups—further security issues.

  • domesticcadiz
    Christopher Robinson (@domesticcadiz) reported

    @github GitHub copilot to write issues is broken in a recent update. Worked yesterday and doesn’t work today. What did you guys do?!

  • w3stie1
    DaVinci🦄 (@w3stie1) reported

    The fact that so many people have built these apps and websites, only for most of them to end up in GitHub graveyards, shows that there is a huge market gap. A good solution on paper to an almost impossible problem to solve on ground

  • NaMarrado_
    NaM dev (@NaMarrado_) reported

    @TimJayas OpenAI is literally fixing the issue What did Anthropic did? Oh wait, they ignored the issue for weeks, then blamed the users for using it wrongly, and weeks after they acknowledged that there was an issue, despite multiple PRs being on their GitHub and them actively ignoring it?? I would rather have OpenAI who are honest about their issues and having issues, instead of a ******* company who is actively running multiple scams against their users and then blames them

  • AWar1586398
    A War (@AWar1586398) reported

    @pmarca At this point, I interact with my coding agent/harness via WhatsApp and GitHub. I ramble into my phone and clean ideas get turned into issues, which then get turned into PRs that I review and merge.

  • Andrewislington
    Andrew (the *****) (@Andrewislington) reported

    GitHub went down the second I needed it for a big build 😭

  • ManOnChainX
    Man | Research (@ManOnChainX) reported

    @tomosman $GITBANK ? Because of they also working on Github users for if any user has error and solve by other person and give bounty then need to go centralized or paypal.. so Gitbank is building wallet in github so the escrow will send automatically when task complete...

  • shivaraj_bh_
    Shivaraj B H (@shivaraj_bh_) reported

    GHA is also a nightmare if you self-host runners. Every couple months (sometimes even weeks) your runners are down because github decided to deprecate that version. Feels like a scam to lure you into paying premiums.

  • BetaTomorrow
    deep Manifold (@BetaTomorrow) reported

    @aHpaBean where is your paper, paper link on Github is broken ?

  • iam_elias1
    Elias Al (@iam_elias1) reported

    Cognition AI raised $175 million to build Devin. The open-source community built the same thing without raising a single dollar. It has more GitHub stars. It costs nothing. And it is already being used by 6.5 million developers. It is called OpenHands. And here is everything you need to know about the most important open-source project nobody outside the developer community is talking about. OpenHands, formerly OpenDevin is the world's most popular open-source AI software agent. Writing code, running tests, fixing bugs, and browsing the web autonomously. 72% SWE-Bench score. Zero vendor lock-in. 100+ LLM models supported. Here is what Devin actually does and why OpenHands does it too. You give it a GitHub issue. A bug report. A feature request. A failing test. It reads your entire codebase. Identifies the root cause. Writes the fix. Runs the test suite. Iterates if tests fail. Opens a pull request when they pass. Tags it. Describes what changed and why. You review. You merge. No pair programmer. No code review meeting. No "let me take a look at this later." The issue is filed and the PR is open before you finish your coffee. OpenHands' primary agent is CodeAct, a reasoning loop that converts a natural language task into a stepwise development plan, executes each step using real shell commands and file operations, runs the existing test suite after every change, analyzes failures, and iterates until the tests pass or the task is complete. CodeAct does not just generate code. It runs code and observes the result replicating the exact feedback loop a human developer uses. This is the detail that separates OpenHands from every AI coding assistant you have already tried. It does not suggest code. It does not autocomplete. It runs code. Watches what happens. Reads the error. Fixes it. Runs it again. Exactly the way you would except it does not get tired, distracted, or stuck on the same bug for three hours. When combined with Claude Sonnet 4.5's extended thinking mode, CodeAct achieves a 72% SWE-Bench Verified resolution rate — the highest score of any open-source coding agent available today. 72% on SWE-bench. That means 72 out of every 100 real GitHub issues the kind actual engineers file against real production codebases get resolved autonomously. Without a human writing a single line of code. Devin's published SWE-bench score: 13.86% at launch. It has improved since but the gap with open-source alternatives has closed faster than anyone at Cognition AI publicly anticipated. Here is the number that explains why 6.5 million developers chose the free version. OpenHands supports 100+ model providers. Most developers running OpenHands with Claude Sonnet 4.5 via direct API pay around six dollars per day on heavy use a fraction of Devin's subscription cost. Six dollars per day on heavy use. Versus $500 per month for Devin. For the same underlying model. The same agentic loop. The same autonomous software engineering capability. The difference is not the technology. It is who you pay and how much they mark it up. Here is the setup that takes ten minutes. OpenHands runs in Docker. Pull the image. Set your API key for whichever model you want to use Claude, GPT, Gemini, DeepSeek, or any local model via Ollama. Point it at your repository. Give it an issue. Walk away. OpenHands is what happens when the open-source community refuses to accept that a $500 per month closed-source tool should be the only path to autonomous AI software engineering. The sandbox contains everything the agent does. If it tries something unexpected, the container absorbs it. Your production code is never touched without a PR you can review and reject. Here is what the 55,000 stars actually represent. Not hype. Not early adopters chasing the next shiny tool. Engineers at companies you have heard of running OpenHands in CI pipelines, using it to triage backlogs, deploying it to resolve the class of repetitive bug that consumes 20% of every sprint and produces zero learning. The work nobody wants to do. Automated. For free. Cognition AI raised $175 million and spent two years building Devin. The community built OpenHands in the open, gave it away, and is now running it in production at a scale Devin cannot match at its price point. $175 million versus $0 raised. 55,000 stars versus global headlines. Free versus $500 a month. The open-source community did not beat Devin at fundraising. They beat it at the part that actually matters. (Link in the comments)

  • tawer1O
    tawer (@tawer1O) reported

    @aakashgupta Self correction slows after the first ten github issues in one cycle

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