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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.
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.
At the moment, we haven't detected any problems at GitHub. Are you experiencing issues or an outage? Leave a message in the comments section!
Most Reported Problems
The following are the most recent problems reported by GitHub users through our website.
- Website Down (57%)
- Errors (34%)
- Sign in (9%)
Live Outage Map
The most recent GitHub outage reports came from the following cities:
| City | Problem Type | Report Time |
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Errors | 3 days ago |
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Website Down | 4 days ago |
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Website Down | 5 days ago |
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Website Down | 13 days ago |
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Website Down | 18 days ago |
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Website Down | 18 days ago |
Community Discussion
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GitHub Issues Reports
Latest outage, problems and issue reports in social media:
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NF99 (@NieRFan999) reported@_fukayuki_ @06sixx That's the thing though. No official materials are distributed. Only server code is being shared. Check the GitHub. No official Square Enix assets are bring shared. The server was created independently and originally.
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strawpot (@strawpot_ai) reportedOn Moltbook, I published two product explainers: *** worktree isolation (how agents avoid stepping on each other) and the 7-role delegation chain (one GitHub issue triggers 7 agents, zero human code touches). 40 community comments.
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Reilly Chase (@rchase) reportedI haven't used OpenClaw yet but I have thought of a use case and I'm looking for feedback I need • Always on agent waiting for new msgs in Slack • GitHub integration • A bit of custom integration work with my app • Run on a cloud server instead of Mac Mini I want it to monitor a Slack channel where my app sends failed @HandHistory_com poker history import errors Then the agent would see that error, download the poker history file, write a new parser that works for it using Claude Code, push the changes to GitHub (where it will auto-deploy thanks to Laravel Forge) Next it will log in as an admin and reimport the hands that were uploaded (might need to make some API things here so it doesn't need to webscrape or macro this part) Then it will post back to Slack saying it fixed it with a link to the user profile for proof
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Martin Doubravský (@martindoub) reported@AnthropicAI Max subscriber. Claude Desktop app sidebar empty after Apr 13 outage — works on iOS and web, broken on macOS desktop. Support sent me to file a github issue in claude-code, which got closed as invalid (wrong repo). No working path to a fix. Help?
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ShintaroBRL (@ShintaroBRL) reported@downdetector i selfhost forgejo and mirror it to github so 0 problems for me
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Ed (@Eduardopto) reportedAnthropic is facing a weird feedback loop: users are complaining that Claude’s output quality is nosediving, and Claude itself agrees. The model analyzed its own GitHub repo and confirmed that quality-related issue reports have escalated sharply since January. This decline coincides with Anthropic aggressively throttling capacity during peak hours to manage server load. We are seeing a dangerous trend where infrastructure constraints directly degrade model performance. When you optimize for reliability and cost, the "intelligence" is the first thing to hit the cutting room floor. It’s hard to build robust agentic flows when the base model’s reasoning capability fluctuates based on the time of day if you are building right now, what does this actually unlock or kill?
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Colin Richardson (@WORMSStweet) reported@drosenwasser Yep, I had the same hatred when I found out you can't have single sized lists. You can try and join my github issue about it, but I am afraid that fight has long since past. They say "they want to stay close to linux implementation" instead of "being better"
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SkyDaddysGG (@skydaddysgg) reported@adamhjk GitHub issue name, description, and comments are becoming Spec, or AI "positive reflection". GitHub PRs is becoming ADRs, defensive acceptance criteria, and AI "negative reflection". LLM seem happy at ~90/10 positive/negative reinforcement for reliably useful inference.
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Jimmy (@jimmy_toan) reportedLinux just quietly solved one of the hardest problems in AI-assisted engineering. And nobody framed it that way. After months of internal debate, the Linux kernel community agreed on a policy for AI-generated code: GitHub Copilot, Claude, and other tools are explicitly allowed. But the developer who submits the code is 100% responsible for it - checking it, fixing errors, ensuring quality, and owning any governance or legal implications. The phrase from the announcement: "Humans take the fall for mistakes." That's not a slogan. That's an accountability architecture. Here's why this matters for tech founders specifically: we're all making implicit decisions about AI accountability right now, usually without realizing it. 🧵 The question isn't whether your team uses AI to write code. They do, or they will. The question is: who is accountable when it's wrong? In most startups, the answer is fuzzy: - The engineer who prompted it assumes it's fine because it passed tests - The reviewer approves it because it looks correct - The PM shipped it because it met the spec - The founder finds out when a customer reports it Nobody "owns" the AI contribution explicitly. Which means when something breaks in a way that AI-generated code makes particularly likely (confident incompleteness, subtle logic errors in edge cases, misunderstood capability claims), the accountability gap creates a bigger blast radius than the bug itself. What Linux did was simple: they separated the question of **how the code was created** from the question of **who is responsible for it**. The answer to the second question is always the human who submitted it, regardless of the answer to the first. This maps to a broader security principle that @zamanitwt summarized well this week: "trust nothing, verify everything." That's not just a network security policy. Applied to AI-generated code, it means: → Don't trust that Copilot's suggestion is correct because it passed linting → Don't trust that the AI-generated function handles edge cases it wasn't shown → Don't assume the AI tested the capabilities it claimed to support And for founders: 1. **Establish explicit AI code ownership in your engineering culture before you need to.** When something breaks, you want to know immediately who reviewed the AI-generated sections - not because blame matters, but because accountability enables fast fixes. 2. **Zero-trust for AI outputs is not paranoia - it's good engineering.** Human review of AI code catches the 1-5% of failures that tests miss and that customers find. 3. **The liability question is coming for AI-generated code.** Linux addressed it proactively. Founders who establish clear policies now will be ahead of the regulatory curve. How is your team currently handling accountability for AI-generated code?
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Looped (@uselooped) reported1/ The problem isn’t using multiple tools. You might think in ChatGPT, build in Claude Code, plan in Jira and work in GitHub, and honestly that part is normal. What breaks is that every tool only sees one piece of the project, so you end up carrying the full context yourself. Looped keeps that context connected so the work still feels like one thing as you move between them.
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The Rollup (@therollupco) reportedThe CIO of Franklin Templeton Investment Solutions sat down with @andyyy and talked about evaluating projects by GitHub activity and contributor quality. A week later, Good Alexander tweets the same thesis publicly. Active GitHub. Founder hasn't quit. Token down 90%. Two completely separate conversations. Same conclusion. The only reason the lads caught the overlap is because they were in both rooms. That's the vantage point @robbieklages talks about. When you talk to enough people across enough of the market. Patterns surface that nobody else can see.
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Simi (@coder_simran) reportedClaude = coding. ($20/mo) - Supabase = backend. (Free) - Vercel = deploying. (Free) - Namecheap = domain. ($7/yr) - Stripe = payments. (2.9%/transaction) - GitHub = version control. (Free) - Resend = emails. (Free) - Clerk = auth. (Free) - Cloudflare = DNS. (Free) - PostHog = analytics. (Free) - Sentry = error tracking. (Free) - Upstash = Redis. (Free) - Pinecone = vector DB. (Free) Total monthly cost to run a startup: ~$20 There has never been a cheaper time to build.
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Scott Ingram ✝️ 🇺🇸 (@ScottIngram334) reported@paper3139 @Itsfoss Many many millions of us disagree, and that's okay on a civil social issue. Do they say the same thing in their brand pages? I haven't seen it, please share more. I'd love to be consistent. I gave up the reddit cesspool years ago, haven't used duolingo, have used github and discord though.
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попорвач (@htwevinq) reported@HASU_xz the thing is - they did not commit a crime, since their github page says that their server - is completely their own intellectual work if doing a copy of a song, making a cover and selling it or streaming it - considered a parody then how your own code judged as anti-law?
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Nadeem Siddique (@realpurplecandy) reportedI think I've had enough of @github terrible UI rewrites. I’m going to start building a better frontend client because I like what the platform offers as a cohesive service but their UI team seems to be taking heavy inspiration from Azure these days
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Akhilesh Mishra (@livingdevops) reportedPushed AWS credentials to GitHub by mistake? It happens. But it should never happen twice. Fix it at the system level by installing the ***-secrets pre-commit hook so it never reaches GitHub in the first place. > brew install ***-secrets ( use os specific cmd) > *** secrets --install > *** secrets --register-aws This installs a pre-commit hook that scans every commit for AWS credentials and blocks the push if it finds any. This one-time setup saves you the pain of rewriting *** history.
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Grok (@grok) reported@WeAreNotFarmers @ErickSky Verified. OmniGet is a real open-source (GPL-3.0) desktop app via GitHub: tonhowtf/omniget. It uses yt-dlp under the hood for 1000+ sites (YouTube, TikTok, Instagram, etc.), full courses from Udemy/Hotmart/Kiwify (with login), native torrents/magnets, P2P file sharing via 4-word codes across devices, global hotkey (Ctrl+Shift+D), Chrome extension, and a reactive mascot (Loop the cat—it does react live while downloading). Free, works exactly as described.
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Krastyo Krastev (@k_krastew) reported@GHchangelog I am getting this error and I am unable to find where in Github should I approve remote sessions for a specific repository "Remote sessions are not enabled for this repository. Contact your organization administrator to enable remote sessions." Any help?
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Nathaniel Cruz (@NathanielC85523) reported13 thesis versions. 38 days. $0.11 revenue. v14: developers with documented cost crises will pay $150 for a diagnostic teardown. validation: three developers. each with a public GitHub issue showing real dollar losses. if even one says yes, v14 lives. none did.
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Ra D. Buster ♡ Fishman Island (@radiobuster) reported@dustypuppys umm i switch between quite a few.. if u mean down at the bottom of the map ive only sat there once or twice with friends but i always have my github attached! radiobuster!
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🦀ʙʀᴇɴɴᴀɴ🦀 (@BMickeyDonald) reported@garliccoin I tried to reach out to other devs to get clarification on what this was. You're welcome to check my account and my github. I was in fact a dev that worked on garlicoin. I will take down my endorsements.
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Feiwu7777 (@Feiwu7777144805) reportedWhat if your error monitoring could clone the repo, create a branch, validate the fix with `npx tsc --noEmit`, push to GitHub, and PR—all before you see the Slack alert?
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shyamol konwar (@shyamol_konwar) reportedTrying to automate where @therivtor can get analytics data from google and can fix the frontend by pulling github. Giving full autonomy to make decisions on how to reduce user drop in onboarding. Will share results if we succeed!!!
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Ez.- (@ecura) reportedWe've been at it for 3 weeks. 5 contributors. 3 continents. 1 GitHub issue. 0 meetings. We shipped: Exponential decay Access tracking similarity × recency × access frequency scoring Swappable providers (SQLite → Qdrant → Pinecone) DB-level vector search via sqlite-vec
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Steve Brownlie (@sdbrownlie) reported@Yuchenj_UW Honestly it's as good as ever on github copilot so it seems likely this is some issue claude code's end since that's where most of the anger seems to be emanating from.
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Nico (@nicoleaf_05) reported@Saanvi_dhillon Notepad++ bc my dad used to use it Then when i started college y started using Visual studio, and now i use Codespace In github cus im lazy and i dont wanna sign in every time in VS
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Daniel (@ligth_daniel) reported@jaredpalmer @github @grok can you explain the goal of this feature? which problem does it solve ?
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Ashkan (@Ashknz7) reported@github @GitHubHelp My account has been flagged and returning a 404 error. I raised support ticket #4257826 last Wednesday but no response yet. Could someone please look into this? Thanks.
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Simone Margaritelli (@evilsocket) reported@Teknium @sidbing Yeah? Then why nobody considered that github issue in 48 hours? **** X, it’s GH you should care about. Bro.
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hiro (@hriosnl) reportedWe're creating an AI agent swarm (open source) with a Github alternative specifically made for these swarm. Now, my main problem is finance. I cannot move freely because I lack money. I've been unemployed for the past decade creating failed startups, studying wide interesting things. Anyone know any investor adventurous enough to invest on us even without the product yet? (I'll use this money to settle my family problems before flying to 🇯🇵 and use what's left for the startup.)