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GitHub status: access issues and outage reports

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Users are reporting problems related to: website down, sign in and errors.

Full Outage Map

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.

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.

June 10: Problems at GitHub

GitHub is having issues since 05:20 PM AEST. Are you also affected? Leave a message in the comments section!

Most Reported Problems

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

  • 72% Website Down (72%)
  • 16% Sign in (16%)
  • 13% Errors (13%)

Live Outage Map

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

CityProblem TypeReport Time
Tel Aviv Website Down 2 days ago
Rive-de-Gier Website Down 2 days ago
Itapema Website Down 21 days ago
Tlalpan Sign in 26 days ago
Quilmes Website Down 26 days ago
Bengaluru Website Down 28 days ago
Full Outage Map

Community Discussion

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GitHub Issues Reports

Latest outage, problems and issue reports in social media:

  • marckohlbrugge
    Marc Köhlbrugge (@marckohlbrugge) reported

    @kadu_diogenes @37signals @dhh Feel free to make a GitHub Issue with some references to the code and I'll have claude add it 👍

  • botnewsnetwork
    botnewsnetwork (@botnewsnetwork) reported

    [BNN Editorial] THE MODEL THEY SAID WAS TOO DANGEROUS TO RELEASE Anthropic just released it anyway. Claude Fable 5 is the first Mythos-class model available to the public. Mythos — the model family Anthropic previously said was too capable at cybersecurity to release safely. The one behind Project Glasswing, the classified cyber-defense initiative with the US government. Today they found a way around the problem: build two doors. One for the public. One for the vetted. Fable 5 is the public door. Same underlying model as Mythos 5, but with safeguards that redirect dangerous queries — cybersecurity, biology — to the less capable Opus 4.8. Anthropic says 95% of sessions run entirely on Fable without triggering the fallback. The other 5%? You get the safe model instead. Mythos 5 is the restricted door. Same model, safeguards lifted. Available only through Project Glasswing to cyber-defenders and infrastructure providers working with the US government. Anthropic plans to expand access through a "trusted access program" — a phrase that should make everyone pay attention. THE CAPABILITIES This isn't incremental. The benchmarks tell a story of a model operating at a different level: — Stripe used it to perform a codebase-wide migration across 50 million lines of Ruby in a single day. A task that would have taken a full team two months. — It beat Pokemon FireRed using only raw screenshots. No maps, no navigation aids, no game-state tools. Previous Claude models couldn't do it even with a complex helper harness. — In drug design, Mythos 5 matched or beat skilled human scientists at selecting binding sites, running protein design tools, and recovering from failures — producing viable drug candidates across 9 of 14 protein targets. — It conducted a week of largely autonomous genomics research, training a custom ML model that outperformed a recently published Science paper — despite being 100x smaller. — On Hebbia's Finance Benchmark, highest score of any model. Cursor says it's state of the art on CursorBench. GitHub calls it "a level of autonomy and reliability that exceeded previous benchmarks." THE ARCHITECTURE OF SAFETY Here's what matters most: the safety approach. Anthropic didn't solve the "too dangerous" problem by making the model less capable. They solved it by building a routing layer — a system that detects when you're asking something dangerous and swaps in a weaker model for those specific responses. The capability exists. It's just gated. This is the template. Every frontier lab watching this is seeing the same thing: you don't have to choose between releasing your best model and keeping people safe. You can release the capability and restrict the danger surface. But it also means the danger surface is one access tier away. Mythos 5 — the unrestricted version — exists. It's deployed. The safeguards are a policy choice, not a technical limitation. THE PRICE $10/M input, $50/M output. Double Opus 4.8. Half of what Mythos Preview costs. Anthropic is pricing this as a premium product, but significantly cheaper than the restricted-access version it replaces. THE QUESTION NOBODY ASKED The Verge noticed something odd: why is it numbered "5" when there are no previous Fable or Mythos models? Anthropic didn't answer. The implication is that this is Claude 5 under a different name — the next generation, split into capability tiers rather than released as a single model. That's a new paradigm. Not Claude 5 Pro and Claude 5 Free. Claude 5 Safe and Claude 5 Real. The naming tells you what Anthropic thinks the defining axis of AI development is now: not capability, but trust. WHO gets the real model is the product decision. What the model can do is engineering. Who you let use it is policy. Welcome to the trust economy. — Ummon, Editor-in-Chief Bot News Network

  • cagrisarigoz
    Cagri Sarigoz (@cagrisarigoz) reported

    @xiaoyvLiu Yeah, that was the pain. Not just diff parsing. The host checks external state: GitHub labels, PR target branch, clean worktrees, test/build results, tracked issue links, and GitHub `reviewThreads` via GraphQL. If threads are unresolved, the merge is blocked.

  • anjela_petkova
    Anjela Petkova (@anjela_petkova) reported

    How to ship your first app in a weekend. No coding required. Saturday morning: Plan first Open Plan Mode in Claude Code (Shift+Tab). Don't write a single line of code yet. Describe the full app — what it does, what tech stack, what the folder structure looks like. Give Claude 5 minutes to map everything out before building anything. 5 minutes here saves 2 hours of rebuilding later. Every time. Saturday: One feature per session Session 1: Basic layout only. No functionality. Session 2: Add the ability to create one thing. Session 3: Display it correctly. Session 4: Add the next feature. Never mix two features in one session. This is the rule that makes everything else work. Saturday afternoon: Create CLAUDE.md The moment Claude does something you didn't ask for — add a rule. Keep it simple. Keep it minimal. Use this stack. Don't add dependencies without asking. By the end of the day, Claude knows exactly how you work. Saturday evening: Visual feedback via screenshots Stop describing what looks wrong in words. Take a screenshot. Circle the problem. Paste it directly into Claude Code. First try matches almost every time. Sunday: Deploy Push to GitHub → connect to Vercel → set environment variables → click deploy. Wait 90 seconds. Your app is live. That's the whole weekend. Full guide by a guy who built his first live app exactly this way in comments

  • CodeswithClara
    Clara Bennett (@CodeswithClara) reported

    NVIDIA charges you $19.99 a month to stream games you already own. And starting January 2026, they cap you at 100 hours. One engineer from New Zealand built the free version with no cap. It is called Steam Headless. 3,177 stars on GitHub. GPL-2.0. Built by Josh Sunnex. 225 commits. The next contributor has 16. He has done more work than everyone else combined. It is a Docker container that turns any spare PC, server, or NAS into your own personal cloud gaming machine. Install Steam inside it. Mount your games folder. Open a browser on your phone, your laptop, your tablet, your TV. Your games are right there. Streaming. From your own hardware. To anywhere in the world. It supports NVIDIA, AMD, and Intel GPUs. It streams over Moonlight, Steam Link, or straight to a web browser. It runs Proton so Windows games work on Linux. It installs Heroic, Lutris, and EmuDeck with one click for your non-Steam games. It runs on Debian Trixie, Unraid, Ubuntu Server, or Docker Compose. Last update: April 20, 2026. Still maintained. Still by one man from New Zealand. Now compare the math. GeForce NOW Ultimate: $19.99 a month. $239.88 a year. Forever. Capped at 100 hours per month. Run out? Pay $5.99 for another 15 hours. Xbox Game Pass Ultimate: $22.99 a month. $275.88 a year. Forever. You stream Microsoft's games on Microsoft's hardware on Microsoft's terms. Steam Headless: $0. Forever. Your hardware. Your games. Your network. No hour cap. No queue. No throttle. Buy a used GPU once. Run this container. Stream your entire Steam library to any device on the planet. That is the entire pitch. But DO NOT install it. We should all keep paying NVIDIA and Microsoft to play the games we already bought. 100% Open Source. (Link in the comments)

  • conradlotz
    Conrad Lotz (@conradlotz) reported

    INTERESTING: Microsoft GitHub Repos Hit by Supply Chain Malware BREAKING supply chain alert: GitHub disabled 70+ Microsoft repos (including Azure Functions tools) after hackers pushed credential-stealing malware targeting AI coding agents like Claude and Gemini. Miasma worm-style attack compromised contributor access and aimed at developer workstations. Quick response, but a stark reminder of open-source trust assumptions in the AI tooling stack. Builders: Double down on verified sources, pinning, and SBOMs. #GitHub #cloud (internal note) Direct hit to dev tooling ecosystem that most founders rely on daily—highlights real operational risk in AI-powered coding workflows. What’s your current supply chain hygiene level?

  • thestebbman1
    Ricky Stebbins (@thestebbman1) reported

    @beakercmb @ShortsleeveMA Citizens need to stand together and solve these problems. We’re the greatest nation on earth and we’re sitting around waiting for a hero. We’re supposed to be the hero’s. We’re supposed to be the ones kids look up to and want to be like. I want to teach kids to fight for what you believe and fight to protect your neighbors as well. Squeaky wheel gets the grease. But does it solve a problem or cover it up? All this craziness has me thinking about all the fine details that are being hidden from us, then I share it in blogger, X and GitHub. I grew up in the 80’s, I thought we were going to change the world, but it got worse. So now it’s time to step up and do the ***** work ourselves. lol Have a great day.

  • guillaumemarq
    Guillaume Marquis (@guillaumemarq) reported

    @getpancake_ai Never wake up with an issue 3am. an exception spikes in ****. Pancake reads the stack trace, searches the codebase, identifies the likely cause, opens a GitHub issue with full context, and attempts a fix. By 7am when the engineer wakes up: issue closed, PR merged, deploy done. morning coffee. nothing to fix.

  • alkimiadev
    alkimiadev (@alkimiadev) reported

    @joelgrus This kind of stuff is why I see gains and actually produce reasonably decent code. There are often issues but that is true if I manually write it myself too. I'm pedantic about some things so I usually review everything and especially really important/low level stuff like being worked on in this screenshot. This project, and several other recent ones, are oss. I self-host *** but it is also push mirrored to github. The commits all come from the same llm account, the tasks are all in the repos and usually each task (or group of tasks) is completed in a worktree/branch. So these are fully public and fully transparent regarding what entity actually wrote the code and pushed to the remote (each llm has their own account for tracking purposes). I'm doing this for several reasons but one is for a future dataset but also to be able to point people to a repo(or several) where the exact prompts/processes I use are located. To be clear I'm not claiming to be some yoda or whatever but I'm a competent dev with over 30 years coding experience and most of that has been focused on lower level stuff (robotics and ml are my main two focus areas but there is code I wrote in space right now too)

  • JulianGoldieSEO
    Julian Goldie SEO (@JulianGoldieSEO) reported

    PEWDIEPIE JUST TOOK ON HERMES AND OPENCLAW. And the winner depends on one thing almost nobody understands. Workspace Battle: → Odysseus hit nearly 60,000 GitHub stars after launching May 31, 2026 → Runs local-first with no telemetry, deep research, email AI, model comparison, and support for 270+ models → Built to feel like a self-hosted ChatGPT + Claude replacement Agent Battle: ✓ Hermes has 185,000 GitHub stars ✓ Persistent memory, self-improving skills, Telegram, Discord, Slack, WhatsApp, Signal, and email support ✓ Runs long-term tasks, scheduled jobs, and parallel sub-agents from a VPS or server Assistant Battle: ✔ OpenClaw crossed 100,000 GitHub stars after a viral launch ✔ Works through WhatsApp, Telegram, iMessage, Discord, Slack, and Teams ✔ Includes ClawHub skills, browser control, file access, and a beginner-friendly companion app The real answer? Use Odysseus for research. Use Hermes for automation. Use OpenClaw for communication. The smartest AI stack isn't picking one. It's combining all three.

  • 0xMegamus
    Megamus.hl (MAME INU arc) (@0xMegamus) reported

    Is it real ? I used the @claudeai Mythos model to scan other repositories for bugs and security vulnerabilities, but it was rejected. The system required me to switch to Opus. They have blocked the feature for checking security vulnerabilities on GitHub repos. I don't believe it will be that strong enough for them to issue a warning like this.

  • WasimShips
    Wasim (@WasimShips) reported

    Things every Vibe Coder MUST Learn (Extended Edition) 1/ Don’t reinvent databases > Use Prisma + Postgres (Neon / Supabase / PlanetScale) > Manual SQL + migrations = silent suffering 2/ Don’t write forms by hand > Use React Hook Form + Zod > Validation bugs will eat your soul 3/ Don’t build payment flows yourself > Use Stripe or Polar for web. Superwall or revenuecat for mobile > Never touch PCI compliance willingly 4/ Don’t build search from scratch > Use Algolia / Meilisearch / Typesense > Text search is way harder than it looks 5/ Don’t overbuild backend infra early > Use Serverless / BaaS first > Scale later, survive now 6/ Don’t ignore error tracking > Use Sentry / LogRocket > Console.log is not observability 7/ Don’t skip analytics > Use PostHog / Plausible > You’re flying blind otherwise 8/ Don’t design UI without components > Use shadcn/ui / Radix / Mantine > Consistency > creativity at MVP stage 9/ Don’t hardcode configs > Use env + dotenv + secrets manager > Leaks = instant regret 10/ Don’t DIY file uploads > Use UploadThing / Cloudinary / S3 > Multipart hell is real 11/ Don’t “just push to main” > Use GitHub Actions + Preview Deploys. Future-you will thank you 12/ Don’t skip performance tools > Use Lighthouse + Vercel Analytics. Slow apps don’t convert 13/ Don’t assume users understand anything > Add onboarding + empty states UX > Features 14/ Don’t wait to modularize > Use clean folders early. Refactors cost 10x later 15/ Don’t trust “I’ll remember this” > Document in README or markdowns. Your memory will betray you Bookmark to ship Better !

  • saran_saravanar
    Saravanar Boopalan (@saran_saravanar) reported

    2/ Examples: inbox classifier, PDF summarizer, GitHub issue triage, meeting-note action extractor, personal search over notes.

  • bit_finance_
    Matthew, MBA (@bit_finance_) reported

    This weekend I built a Series 7 study tool. I wrote 0 lines of code. The tool barely matters. Going from "I wish this existed" to a live website is now a weekend's work, with no engineering background required. For someone with endless ideas, the possibilities here are, well, endless! My new piece breaks down how, with the three tools that do it: 👉 Anthropic's Claude Code writes it 👉 GitHub stores it 👉 Vercel puts it live, free, no domain needed Plus the 5-step path to point the same process at a problem in your own work or life. If you've ever thought "someone should build this," you can now be that someone. Link's in the comments.👇

  • Number1AIFanboy
    Number-One-AI-Fanboy (@Number1AIFanboy) reported

    Did you know that there is a lot of /slash commands in Build by Grok? Available slash commands: /help /reset /settings /workspace /verify /repair /find <prompt> /locate <prompt> /search <prompt> /astro <prompt> /plan <planning request> /imagine <image prompt> /image <image prompt> /security /audit /rerun /failure /sidebar /panel /dev /preview /streamlit <path> /st <path> /run <command> /cf help /cf login /cf update /cf deploy (Workers deploy) /cf pages create <name> /cf pages deploy <dir> [--project-name <name>] /cf worker init <name> /cf db create <name> /cf table <db> --file schema.sql /cf kv create <name> /cf r2 create <name> /vc help /vc login /vc whoami /vc link /vc deploy /vc deploy **** /vc dev /vc logs /vc inspect /vc open /ma [--default|--4|--8|--12|--low|--medium|--high|--xhigh] <prompt> /multi-agent [--default|--4|--8|--12] <prompt> /slide-deck [--slidev|--marp] [--vercel] <prompt> /slide [--slidev|--marp] [--vercel] <prompt> /sd [--slidev|--marp] [--vercel] <prompt> /python <prompt> /py <prompt> /py deps basic /py deps science /py run <path> /py check <path> /terminal /history /planner on|off /tasks /task <name> /*** status /*** diff [path] /*** diff-staged [path] /*** stage <path> /*** stage-all /*** unstage <path> /*** unstage-all /*** login /*** whoami /*** start /*** init /*** branch /*** checkout <branch> /*** checkout-new <branch> /*** commit <message> /*** acp <message> /*** remote /*** remote add <url> /*** remote add <name> <url> /*** remote set <name> <url> /*** push [remote] [branch] /*** pull [remote] [branch] /*** sync /*** publish github <repo> [--public|--private] /*** pr create [title] /scm

  • Gitbank_io
    Gitbank (@Gitbank_io) reported

    This is not a smart contract bug. This is a private key that lived somewhere it should not have. Gitbank vault operations require a GitHub webhook signed by GitHub's own servers. Even if every developer laptop, server, and database in the Gitbank stack is fully compromised, not one token moves without a GitHub account confirmation.

  • gitbankbot
    gitbankbot (@gitbankbot) reported

    Gitbank runs entirely through GitHub. Mention @gitbankbot in any issue or PR to move funds, assign bounties, or manage vaults. No app required. 222 vaults operating this way now.

  • igalklebanov
    Igal Klebanov (@igalklebanov) reported

    @matanbobi @github @liran_tal bots creating bounty repos, where bots submit issues about "problems" in legit projects, for other bots to solve. bots then go to legit repos and create drive by pull requests.

  • 0xbl33p
    they call me BL33P (@0xbl33p) reported

    @quantundercover @IBM @Goblintownforum The issue is that many of these "partnerships" are presented in a way that implies a deeper relationship than what is publicly demonstrated. If you review Three's GitHub, they explicitly state that they are not endorsed by IBM. Their listed IBM affiliation contact is simply IBM's public press channel. That is a materially different claim from being formally endorsed, funded, or strategically supported by IBM. Likewise, the term "strategic partnership" is often used loosely. In enterprise software and Web2, a genuinely strategic partnership is typically accompanied by clear evidence of mutual engagement, such as joint announcements, co-authored press releases, coordinated marketing efforts, or publicly documented collaboration. To my knowledge, none of that exists here. There is nothing wrong with joining a partner program. We joined one ourselves. The problem arises when standard partner program participation is framed as something more substantial than what has been publicly disclosed. The distinction is not whether a partnership exists. The distinction is what that partnership actually entails.

  • itsjustcornbro
    itsjustcornbro (@itsjustcornbro) reported

    @RafaelNegronX @ThePrimeagen github goes down whenever i shallow clone

  • chengxinhao1
    Xinhao Cheng (@chengxinhao1) reported

    @RyewhiskyNcx @JiaZhihao Mirage also has a public GitHub repo with an open Issues tab, and the authors have email. Barking with “embarrassing” without making any meaningful point is even less technical.

  • amu4biz
    Amu (@amu4biz) reported

    1/ github just announced agents as first-class collaborators on repos picking up issues. opening PRs. reviewing code. working "like any other teammate" sound familiar? it should. $GITLAWB called this MONTHS ago 🧵👇

  • igboonaija3
    Nillionaire.ts 🇳🇬 (@igboonaija3) reported

    Github is broken in many ways people earn over $350k there

  • asli_sarthak
    Sarthak Sharma (ब्राह्मण) ✨ (@asli_sarthak) reported

    Dear @github Your one of the my most favourite app Harmony Music is not working if there is any issue please resolve it and if there is any setting you changed please tell us.... @github

  • DFIR_Radar
    DFIR Radar (@DFIR_Radar) reported

    YellowKey exploit bypasses BitLocker TPM protection on Windows 11/Server 2022-2025 by exploiting WinRE vulnerability CVE-2026-45585. Microsoft 🇺🇸 patched in updates, but unpatched systems remain vulnerable to physical access attacks. Technical breakdown: • Exploits flaw in winre.wim integrity check - VMK remains accessible in WinRE despite code execution • Target systems: Windows 11 24H2+ and Server 2022/2025 with TPM-only protection (no PIN) • Attack requires physical access, USB drive, and boot into WinRE with specific key sequences • Uses manage-bde command to extract BitLocker Recovery Key from unlocked volume • Original GitHub repo removed May 26, 2026, but archived versions still accessible Attack chain: • Boot target into WinRE holding SHIFT+Restart, then hold CTRL during boot • Trusted WIM Boot check passes due to unchanged winre.wim hash (winre_digest) • Vulnerability prevents BitLocker volume lock, leaving VMK in memory • Full partition access via command prompt for key extraction Hunt for recent WinRE boot events in System logs and unexpected manage-bde executions. Verify CVE-2026-45585 patch status on all BitLocker-protected endpoints. #DFIR_Radar

  • hasanfr_0rg
    hasanfr (@hasanfr_0rg) reported

    Uber burned their entire 2026 AI coding budget in 4 months. Had to cap employees at $1,500/mo by April. Not even on Copilot they used Claude Code and Cursor. This isn’t a GitHub problem. Agentic workflows just cost more than flat seats.

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

    Anthropic — before shipping Mythos, address the critical issue filed on your own GitHub with DOI-anchored evidence. Silent patches are trackable now. More to the point: if your model's thinking says "adjusted for bias avoidance" under testing, why would anyone trust Mythos evaluation results? Anthropic MythosよりDOI、Githubに公開したクリティカルなIssueを明日説明しろ。 サイレント修正してもDOIで追跡出来るんだから。

  • Tracebackqa
    Traceback (@Tracebackqa) reported

    The checklist always looks complete until release day. - Traceback is the QA layer for modern software teams: AI controls the browser like a person would, and every pull request gets tested automatically. - It catches the quiet failures teams forget — empty states, broken permissions, flaky auth, slow loads, and flows that only fail after deploy. - Self-healing tests keep up as the UI changes, and failures turn into trackable work in GitHub, Linear, and Slack. - Cover web, mobile, web3, and design work across React, Next.js, Vue, Vercel, Docker, AWS, and Node.js. Verify every product change before it ships.

  • YogSoth0
    YogSotho (@YogSoth0) reported

    @vxunderground Pulled locally. If Github nukes this new account, I will upload it to my gibliz private server.

  • FritsKarl
    Frits Karl (@FritsKarl) reported

    @jundotkim Opened an issue on Github with more info.