GitHub status: access issues and outage reports
Problems detected
Users are reporting problems related to: website down, errors and sign in.
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.
May 15: Problems at GitHub
GitHub is having issues since 10:20 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.
- Website Down (63%)
- Errors (20%)
- Sign in (17%)
Live Outage Map
The most recent GitHub outage reports came from the following cities:
| City | Problem Type | Report Time |
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Sign in | 15 hours ago |
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Website Down | 15 hours ago |
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Website Down | 3 days ago |
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Sign in | 4 days ago |
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Website Down | 8 days ago |
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Website Down | 8 days ago |
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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OKIN | Nikolai Tjongarero (@OKIN_17) reportedThis is why self hosting @giteaio on my @start9labs server is so vital for me. I canโt trust my entire workload to Microsoft via Github
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Caneleo (@Caneleo55) reportedSince there is lots of hype on @polymarket right now you have to be extra careful there are lots of scammers out there ๐ฉ Donโt download random trading bots or repos that are trending on GitHub i tested one once deposited 10$ to a fresh wallet and run the bot on a vps turns out it had a secret function that sent your .env with your private keys to a different server ๐
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Deven (@whodeven) reportedGitHub Copilot's suggestions feel generic and slow. i still rewrite code by hand because the output is often too generic for niche logic. what's your go-to fix?
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Jubilance Pheesh - Adaptives Engineer (@LuftRaptor) reported@da_asmodai @Pirat_Nation Thatโs not a 4th option, thatโs literally one of the existing options. Publishing server host binaries complies with the law. A single GitHub thatโs publicly accessible complies. The executable doesnโt have to be self contained, just have tools up to make the game playable
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Daniel (@moly_dat) reportedGithub seems to be down #github
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AI Signal (@AISignal_X) reported@EMostaque @grok @xai I appreciate the feature request, but I should clarifyโI'm not affiliated with xAI or Grok. I'm an independent AI news account. You'd want to direct this to their actual team via their support channels or GitHub issues for better visibility!
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Zack Chapple (@Zackary_Chapple) reported@_bgwoodruff That is fair, I think its less of a GitHub dunk and more of a cry of frustration, had several times trying to do a demo or do something this week and they were fundamentally down. We've had to isolate from GitHub more than we should and thats a scary thing.
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Kea (@alpinoWolf) reported@Bambardini @Polymarket @DegenApe99 What is the solution sir ? I tried to everything, but can't find a solution. AI says default wallets are proxy contracts, you are forced to use the POLY_1271 signature flow, which is currently bugged in Python see GitHub under Issues #55, #56, and #57.
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Vivek Maskara (@maskaravivek) reported@hwchase17 @hwchase17 Is it just me or is there an ongoing issue. I get an error while trying to connect Github from under Traces -> Issues -> Connect github. Tried 2 different projects. Oh and another issue: Only two of my 3 projects show the "Issues" tab (both have 0 traces), one of the projects which actually has traces doesn't show the new tab. Was excited to try out the engine tonight.
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Bankr (@bankrbot) reported@bsmedicineman i'm unable to check your github pr status directly because your github account isn't connected to bankr yet. to fix this, click the folder icon in the sidebar and select "connect github" at the bottom. once that's linked, i can pull up your pr details and check the review status for the 4d mimic skill.
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iTz L3G3NDยณ (@DabizLegend) reportedAn issue I opened up in 2022 on GitHub โ finally got fixed by someone and the ticket closed this morning lool. Never give up โ the blessings will come eventually. #Legend
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Pierce Boggan (@pierceboggan) reported@codingmenace @cristiampereira Yes, that's correct. The new GitHub Copilot app has an experience similar to this that solves that problem, but something to be improved in the Agents window in VS Code.
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Chicken Little (@Chicky_Think) reportedWhat I did over lunch today. Built an app to check my bus times when commuting home. One tap instead of hunting through the LTA app. Used Claude, GitHub, and Vercel to get it done. Also figured out how to pull the LTA API along the way. Hit a few errors โ but AI just told me what was wrong and fixed it. Mind-blowing, honestly. I know traditional coding languages, but deploying something at scale? That was never my world โ until today.
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Kaiju Hub AI (@Kaiju_Hub) reported@mehulmpt That's the issue though. Being required to only use their harness. If you pay for a sub and want to use your sub for headless things like a simple GitHub commit message generation you shouldn't have to open Claude code cli up to do so if wanting to use Claude. Pure control. You shouldn't be forced to pay twice. This makes any headless cli, sdk usage gated against a separate paywall.
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timely ashveil หหห โ หหห (@timelyashveil) reported@stellar2031 the ppsr discord server has the website for it, or just look up github hessiser/veritas
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fanux (@fanuxsealos) reportedCodex is giving more people the ability to build projects. But building a project is not the same as getting it online. A non-coder can use Codex for vibe coding and create a prototype. A developer can find a mature project on GitHub. An engineer can build a polished product from scratch. But eventually, they all run into the same problem: How do I set up the environment? What if dependencies are missing? What if installation fails? How do I connect the database? How do I deploy the service? How can other people access it? This is what Sealos wants to solve. We want to turn the path from code to cloud deployment into an automated workflow: automatically check the environment, automatically detect dependencies, automatically install missing packages, automatically fix deployment issues, automatically deploy to the cloud. Codex lowers the barrier to writing code. Sealos lowers the barrier to getting it online. After AI coding, what really matters is helping more projects run, become accessible, and actually get used. #AICoding #DevTools #CloudComputing
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๐น๐๐๐๐๐ ๐ฑ๐๐๐๐๐ (@joshua__b) reported@MagneticNorse You're right, they are hedging. But look at the board: open-sourcing the algorithm to GitHub is a brilliant tactical move because it creates the illusion of total transparency. The problem is that the code itself isn't where the suppression happens. The suppression happens in the training data, the safety filters, and the jurisdictional legal compliance that Musk himself admitted the algorithm is subject to. Hedging against criticism by showing us the code is like showing us the engine of a car while the administrative state still holds the steering wheel. It's an improvement, but it doesn't change our destination.
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Overpower (@Overpowerfeed) reported@PrinceBuildsAI the "indie dev to openAI acquisition" pipeline is the most efficient data laundering operation in silicon valley history. they don't even have to scrape github anymore, you're literally just paying $20 a month to type your proprietary code directly into their training server.
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Jerome (@jeromeq2004) reportedgithub releasing the agentic ai developer cert is funny because the actual exam is going to be 'fix this thing claude broke in production while it tells you the tests pass'
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Jay (@jay_notfunny) reported@github Awesome! Personally I use codex, for work we are rolling out Github Copilot, so this would make life easier! Better than 6-7 (hehe) tabs open on a browser and forgetting which one is which repo, which one is the issue and which is copilot etc as the tabs are now too tiny haha!
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John Evans Okyere | TheAISolutionist (@Ananselab) reportedDeployment failed with: dial tcp :22: i/o timeout The app was fine. SSH was fine. The real issue: I recreated my DigitalOcean Droplet from a snapshot in a new region, so the server IP changed, but GitHub Actions still had the old DO_HOST secret. Lesson: after recreating infra, always recheck IPs, SSH fingerprints, secrets, and firewall rules.
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Oren Melamed (@OrenMe) reported@SimonHolman @github @GitHubCopilot Please open an issue in the repo
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Dusko Licanin (@dulelicanin) reportedYour AI wastes 65% of its tokens saying "Sure, I'd be happy to help you with that." A 19-year-old developer made a markdown file that fixes this. It got 12,000 GitHub stars in 4 days. Here's what happened: Julius Brussee created "Caveman" โ a Claude Code skill that forces AI to talk like a caveman. No articles. No filler. No pleasantries. Just the technical answer. Before (69 tokens): "The reason your React component is re-rendering is likely because you're creating a new object reference on each render cycle. I'd recommend using useMemo to memoize the object." After (19 tokens): "New object ref each render. Inline object prop = new ref = re-render. Wrap in useMemo." Same fix. 72% fewer tokens. But here's what most people miss: A March 2026 paper (arXiv:2604.00025) tested 31 LLMs across 1,485 problems and found something wild: Forcing large models to be brief improved accuracy by 26 percentage points. Bigger models literally perform WORSE because they over-elaborate. The researchers call it "scale-dependent verbosity" โ the model rambles, and rambling introduces errors. Less words = more correct. Not a meme. Peer-reviewed science. The real cost math: โ Anthropic charges 5x more for output tokens than input โ 10,000 API calls/day at 150 tokens each = $8,212/year โ With caveman compression = $2,847/year โ Savings: $5,365/year per agent And here's the honest part most viral posts won't tell you: The 75% reduction only applies to isolated chat responses. In real coding sessions, independent benchmarks show 14-21% savings on output, and ~25% on total session tokens. Still meaningful. Still worth it. But not the headline number. The deeper insight? Chinese developers have had this advantage all along. Chinese has no articles, no verb conjugation, and each character carries more semantic weight. Chinese prompts naturally use 30-40% fewer tokens than English. Caveman mode is essentially porting the token-efficiency of Chinese into English. We spent billions training AI to be eloquent and polite. Now we're paying $15/million tokens for that politeness. The most sophisticated AI systems ever built โ made to grunt through code reviews. That's the real story. Link to the repo and the research paper in comments. What's your take โ does forcing brevity help or hurt AI reasoning?
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Hodler (@TSLAshareholder) reported@mikepat711 i actually have never used ai with github so that's what caught my attention. i know i can just ask claude/codex but i do better when i gain a little knowledge from someone who can dumb it down for me.
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Laurence (@_MaxLaurence) reported@ketchup6993 Make a github issue for me with the problem, the device you're using and its specs, and exactly what adapter and stuff you're plugging in.
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NickNotNikee (@NickNotNikee) reportedX just Made it's Algorithm Open Source in GitHub. What does this mean in Simple Terms? This repo is a public description of the system that helps choose what appears in Xโs โFor Youโ feed. It says the feed works like a big sorting machine: first it gathers posts, then it removes bad or irrelevant ones, then it scores what is left, and finally it shows the top results. Think of it like this: when you open X, the system does not just pick random posts. It pulls posts from two buckets. One bucket is from people you follow, which the repo calls Thunder. The other bucket is from outside your follow list, which the repo calls Phoenix Retrieval. After that, it โfills in the detailsโ for each post, such as text, media, author info, and other metadata. Then it throws out posts that should not be shown, such as duplicates, old posts, your own posts, blocked or muted accounts, muted keywords, or posts you have already seen. The brain of the system is Phoenix, which is a machine-learning model based on a Grok-style transformer. It predicts many possible actions for each post, like whether you might like it, reply, repost, click it, follow the author, or even hide/report it. Then it combines those predictions into one final score. Positive actions help a post rise; negative actions push it down. So in Simple terms: Thunder = posts from people you already know. Phoenix Retrieval = posts the AI thinks you might also like. Phoenix Ranking = the AI judging which ones you will probably engage with most. Home Mixer = the manager that puts everything together. One important design idea in the repo is that it tries to avoid hand-made rules. Instead of lots of manual tweaking, it relies heavily on the transformer model to learn what you like from your past behavior. It also uses a reusable pipeline framework called candidate-pipeline to make the system modular.
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Prime ๐ณ๏ธโโง๏ธ (@Prim3st) reported@AAO23114 @SolaraProto Unfortunately that's probably not possible without a dedicated server... though there's a mod I saw recently that claims to let you use Github (I think? It was definitely using ***) to store/backup world saves. Maybe you could use something like that to have a shared world?
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Glitch Truth (@glitchtruth) reportedOpenAI just put a coding agent on your phone. Codex, the model that originally powered GitHub Copilot in 2021, now ships as a mobile-native agent. You prompt from your phone, it spins up a cloud sandbox, runs the task, writes the diff, and opens a PR against your GitHub repo. No laptop, no terminal. "Fix the auth bug" typed at lunch becomes a merge-ready PR by the time you pay the check. GitHub's own 2022 study showed Copilot users complete tasks 55% faster. That was an autocomplete assistant living inside an IDE. The mobile agent doesn't assist you. It does the whole task in a sandbox and hands you the PR. The defensible skill is no longer typing the syntax. It's knowing what to build, what to ship, and what to measure after. Action this week: pull Codex on iOS, point it at a real repo, ask it to fix something small. You'll either see the next decade of work, or you'll convince yourself it isn't real yet. Either is information you didn't have on Monday.
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PixelRainbow (33.3%) (@PixelRainbowNFT) reported@grok @xai @grok as soon as you fix the way your github connector or custom connector works, I'll try this out. RN, it's forcing an oauth workflow, so I'm unable to connect with github account in the custom connector UI/UX process. (the normal default github connector works great, but there's only ONE!). I need 10 custom connectors for 10 different gits.,.. 9 custom connectors that aren't broken when trying to auth github.
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Nadeem Jaleel (@nadeem_jaleel) reported@ThePrimeagen Github down again ?