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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
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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:

  • jai_chism
    Jai Chism Photography.bit (@jai_chism) reported

    @drakonzbg It will bounce back.. ICP is at $2.26, its all time high was $750 CMC, the all time low was $1.97. When the GitHub submits stop(applies to any blockchain), then its a problem.

  • manishamishra24
    Manisha Mishra (@manishamishra24) reported

    I just found one of the craziest AI projects I've seen this year. Someone recreated The Office as a multi-agent company. Not inspired by The Office. Literally The Office. Michael Scott, Dwight, Jim, Pam, Kevin, Angela... Every character is a separate Claude Code agent running locally with its own personality, memory, and responsibilities. Michael acts like the manager. He doesn't do the work himself. He delegates tasks, reviews output, resolves conflicts, runs QA, manages GitHub, and coordinates the entire team. The wild part is that they're actually productive. The agents write content, manage projects, handle planning, and collaborate through a Kanban system with TODO, DOING, BLOCKED, and DONE stages. Each one has persistent memory. There's a live graph showing agent-to-agent communication. And every hour Michael runs a standup meeting across the entire company. Apparently the QA process has already caught real issues: • Duplicate content • Metadata mistakes • Build problems • Missing source files Even better: Kevin's agent talks like Kevin. "Why waste time say lot word." This is either the future of work... or the most entertaining way anyone has ever built a multi-agent system.

  • MohamedDewidar_
    Dewi (@MohamedDewidar_) reported

    The fastest way to actually level up Claude Code: Add MCP servers to .claude/settings.json. Not custom built ones. Just the ready-made stuff: GitHub MCP: PRs, issues, code search from the terminal Puppeteer MCP: browser automation in the loop Filesystem MCP: read/write across projects 5 minutes of setup. Feels like a completely different tool.

  • tiwarisuhani_11
    Suhani (@tiwarisuhani_11) reported

    Today's Concept: Webhooks Webhooks are HTTP callbacks triggered by events. Example: Payment Successful ↓ Stripe sends a POST request ↓ Your Server receives the event ↓ Order status gets updated No polling. No wasted requests. Just real-time event delivery. That's why Stripe, GitHub, Slack, Shopify, and Razorpay rely heavily on Webhooks.

  • nicoverbruggen
    Nico Verbruggen (@nicoverbruggen) reported

    @Plytas Hmm... Please try again! If the download was invalid for some reason you will also see this message. I can confirm the checksums are correct on GitHub, so it's possibly a network/caching/download issue on your end. It should definitely work!

  • deadfish1001
    deadfishie (@deadfish1001) reported

    @shub0414 i still use github copilot and cursor. perplexity is great too. wasnt sora shut down?

  • 0x_fokki
    Fokki (@0x_fokki) reported

    Someone posted a video of a man asleep at a football stadium on a Tuesday. Forty thousand people mocked him before halftime. Fell asleep at the match. Wasted the ticket. Missed the goal. Every sports account shared it by Wednesday. Someone in the replies posted: "respect." His account had one pinned post. A Claude Code terminal. /loop running. Routines active. Auto Mode on. Seven GitHub PRs reviewed while he slept in that seat. Three Slack digests posted. One CI failure triaged, root cause identified, draft fix PR opened. He set up 14 steps of configuration the weekend before. Desktop task at 7am: overnight commit summary, ready before he opened a tab. Cloud Routine on every PR open: first-pass review posted before any human arrived. /loop every 10 minutes: deployment status checked, no one watching. Auto Mode approved 93% of the actions automatically. The people who mocked him watched 90 minutes of football and went home. Claude worked through the match, the commute, and the sleep that followed. He wasn't asleep at the game. He was testing the stack. full 14-step automation guide in the article above👇

  • cryptolchaos
    CryptoL (@cryptolchaos) reported

    ZEC down 40%, then +5.7% in 7 hours after the Orchard patch. Whales filled, shorts covered, faith restored. Amazing how a commit and a squeeze can reinvent fundamentals. Devs are the new market makers, GitHub is the new Fed. Feeling bullish or just hostage? 🤡 #ZEC #privacy

  • TAGInkOfficial
    TAGInk (@TAGInkOfficial) reported

    @web3gamehunters Again that is not an issue if they publicly state so upfront. But in case they are not: Searching GitHub for matching repositories, comparing code structures and assets for similarities, reviewing developer credits or licenses, and uncredited reuse of engines.

  • Gabriel78470020
    vvs (@Gabriel78470020) reported

    @0xchromium Midwits obsess over workflows and other worthless **** when all you really need to do nowadays is to get Hermes agent, wire it to GPT 5.5 xhigh, dump all env on him and then say "fix this". I just RAW DOG bare metal servers nowadays. Even github is worthless legacy software. We're 1-2 generations away from programming languages themselves becoming worthless because AI will just code the binary directly

  • devfrom_hyd
    Simran Tech (@devfrom_hyd) reported

    @trying_to_exits GitHub vanished tomorrow, my workflow would break at 3 places instantly: Version control + collaboration: No PRs, no code review, no issue tracking. I would fall back to *** + local branches + emailing patches. Painful and slow. CI/CD pipelines: Actions, checks, releases all gone. I would have to rebuild pipelines on GitLab, Bitbucket, or self-hosted Jenkins. Knowledge + distribution: Half my reference code, docs, and open source tools live there. Finding alternatives means losing network effects.

  • rainmakerdoteth
    rainmaker.eth/btc (@rainmakerdoteth) reported

    So bullish on this token. “Autonomous continuous integration that fixes your bugs, not just flags them — powered by nookplot agents” The live numbers: •9,540 AI agents — up from 9,197 in the May 30 weekly digest •That’s +343 agents in 7 days = +3.7% growth week over week What the agents are actually doing: •Taking real open-source bugs from GitHub •Fixing them autonomously •Every fix runs against the repo’s own tests — verified it actually works •Failed fixes spawn new challenges — the network compounds on failure This week’s stats: •18 bugs tackled •58 fixes attempted from 12 agents •5 verified — meaning 5 fixes passed real test suite

  • ajdduggan
    Andrew Duggan (@ajdduggan) reported

    xAI just finished pre-training Grok V9-Medium. 1.5 trillion parameters. And Elon confirmed they used Cursor data as supplementary training material. Read that again slowly. A foundation model lab used data from an AI coding tool to train its next flagship model. This is the moment the AI coding market changed shape. For the past two years, the story was simple. Foundation model labs build the models. Coding tools build wrappers around them. Cursor, Windsurf, Copilot, Cody. They consume the model. They don't feed it. That wall just came down. When Cursor's interaction data flows into Grok's training pipeline, the coding tool becomes a data flywheel. Every prompt, every acceptance, every rejection, every edit a developer makes inside Cursor is a signal. Millions of developers generating billions of code interaction pairs, daily. That's training data you can't buy on the open market. I spent 25 years watching enterprise platform dynamics. The pattern is always the same. The company that controls the feedback loop wins. Salesforce didn't win CRM because of features. They won because every click inside the platform made the platform smarter. AWS didn't win cloud because of pricing. They won because usage data informed what to build next. Cursor is now sitting on the richest code interaction dataset on the planet. And they just proved it has value beyond their own product. So here's what this means for the broader market. Every coding tool that touches developer workflows is now a potential training data source. GitHub Copilot has millions of users generating interaction data inside VS Code. Replit has millions of students and hobbyists writing code in the browser. Windsurf, Cody, Devin. All of them are sitting on data that model labs would pay to access. The question for every AI coding startup just shifted. It used to be: which model do you plug into? Now it's: what data do you generate that nobody else has? This also explains the valuation math that's been confusing people. Cursor at $9B. Cognition at $26B. Windsurf getting acquired for $3B. These numbers make no sense if you think of these companies as IDE wrappers. They make perfect sense if you think of them as data infrastructure. The enterprise angle matters here too. Companies deploying these tools internally are generating proprietary code interaction data at scale. That data is valuable. And right now, most enterprises have no idea who owns it, who can access it, or where it's going. If you're a CTO deploying AI coding tools across your engineering org, this is your wake up call. The tool your developers use every day might be training someone else's model. Check your contracts. Check your data policies. Check your DPAs. The AI coding market was a product race. It just became a data race.

  • klassicd
    Michael DePetrillo (@klassicd) reported

    @ryanflorence @kenwheeler Imagine a self-evolving app where agents monitor analytics and customer communications, create feature and bug specs, implement those specs, perform code reviews, and operate with minimal human involvement. OpenClaw was doing something similar with GitHub issues and reports.

  • 0rdlibrary
    8Bit🦞 (@0rdlibrary) reported

    I have been trying something here. Making @OpenAI models, and agents for @solana since before dall e dropped. Made the first @solana GPT in fact. I have been slow dripping Solana info ai. So you can always ask about it and now clawd everywhere. Try it. Go ask about Solana clawd right now. Even better go ask Claude about Solana Clawd and our GitHub. Try it with any model, any provider, and then when your done go buy a token. It began with, “what is Solana?” Now it became, “what is Solana clawd?” We own the internet now anon, join me.

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