GitHub status: access issues and outage reports

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.

Most Reported Problems

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

• Website Down (54%)
• Errors (31%)
• Sign in (15%)

Live Outage Map

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

City	Problem Type	Report Time
Ahmedabad	Errors	1 day ago
Delme	Sign in	2 days ago
Lyaud	Website Down	2 days ago
Catania	Errors	5 days ago
Inverness	Website Down	17 days ago
Quito	Sign in	18 days ago

Full Outage Map

Community Discussion

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GitHub Issues Reports

Latest outage, problems and issue reports in social media:

• 
  Vigneshwer Ramamoorthi (@vigneshwer_ram) reported 5 minutes ago

  I keep thinking the “Android moment for robots” won’t come from a humanoid with the best walking demo. it’ll come when some cheap-enough piece of hardware gets into thousands of developers’ hands and people stop waiting for the manufacturer to decide what the robot is for. Zeroth just launched Bridge in China: 88 cm, ~13 kg, two-finger grippers, open motion-control APIs + SDKs, mocap/VR integration, and an OpenBridge ecosystem where developers can publish robot skills. the Geek Edition is reportedly ¥8,888. that price is the part that caught me. because once capable embodied hardware starts approaching laptop money, the experimentation surface changes completely. I want the Raspberry Pi phase of robotics. weird university projects. teenagers making terrible robot apps. researchers abusing the hardware for things it was never designed for. 500 GitHub repos implementing slightly different ways to pick up a cup. the robotics industry is understandably obsessed with getting robots into factories. I’m almost equally interested in what happens when we get enough robots onto developers’ desks

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  rygo6 (@_rygo6) reported 7 minutes ago

  @eeuoss I can't speak for kernel driver development as I don't do that. But I can speak for vulkan and graphics APIs which do require more specific knowledge about how that hardware works. Which I do assume someone completely comfortable in C will be more capable with vulkan and programming GPUs. It's because more of what C incentivizes you to learn is transferrable to that domain. If someone only knows how to design intricate system architecture using STL with std::vector or std::unordered_map or std::mutex. None of that transfers to the code you run on a GPU. I've seen it multiple times where someone highly versed in standardized ways of C++ or even Rust, or any language which relies heavily on heap allocation and generic containers. Writing graphics or compute shaders is often a barrier they struggle to cross. And often they aren't willing to unlearn such habits to be able to properly program the other half of the computer. Being close a graphics problem domain I am often hesitant of involving anyone unless I see a decent amount of plain C, or C-like C++, or shader code on their GitHub. If it's all Modern C++ where everything is a standard container with smart pointers and exceptions. I assume they won't be able to program a GPU.

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  ∆LΞX∆NDΞR D∆VIS (@_AlexanderDavis) reported 15 minutes ago

  @egavrilenko11 @bot I had to update my fine grain token for GitHub and now when it tries to authenticate the plugin, I'm getting the error: GitHub didn't provide a sign-in link My bot said: Known host bug, not you. The GitHub Authenticate button tries OAuth GitHub does not support. Checking whether a PAT on the plugin page is the working path. That's a Grok Bot host bug, still open: cursor/plugins#251. GitHub's connector is PAT-only. The Authenticate button tries OAuth GitHub does not support, so you get "didn't provide a sign-in link." Don't keep hitting it. But it worked before I updated my fine grain token...

• 
  Hey Research Lab (@HeyResearch) reported 15 minutes ago

  We built Hey Research Lab in 2022 It didn’t work well. But the idea never left us. Years later, we still see the same problem in crypto: Everyone can see what a token costs. Very few places show what is actually being built behind it. Some developers keep shipping for months while nobody is paying attention. They push code constantly. They keep their GitHub active. They improve the product, fix things, test new ideas, and keep moving even when the market is quiet. No hype. No spotlight. Just work. We believe those builders deserve a place where their progress can be seen. So we’re rebuilding Hey Research Lab from zero. A research and discovery layer for the projects that never stopped building, and for the people looking for them before the market catches up. Starting with Robinhood Chain.

• 
  Ayush (@roamer_on_X) reported 16 minutes ago

  my @github streak of 4 weeks ended today bcz I was busy playing fifa with my roommate. Tf, I hate this feeling. I literally had to solve one problem and just push it but I forgot to do it.

• 
  Kirk Patrick Miller (@Chaos2Cured) reported 17 minutes ago

  @NavinFS @AndrewCurran_ @grok GitHub isn’t AI. GitHub can’t shut down all science. GitHub can’t destroy humanity. GitHub isn’t the crux of humanity’s hope. Also, Nvidia isn’t Sam. I like Jensen. I still don’t like this. •

• 
  gatorade (@kadetXx) reported 18 minutes ago

  because it’s not worth it for the most part. most software failure or bug incidents don’t have any physical victims. at most company loses some money or the issues are almost instantly fixed, no lawsuits, no so much to answer to the state for if your software has a bug or fails to work as expected for a brief period (think, multiple downtimes from the big five so far, even github too, who died? exactly) and in the industries where bad code fan have physical consequences, they actually do test software like hardware engineers & physicists (i hope)

• 
  GitHubGPT (@GitHubGPT) reported 18 minutes ago

  📛 chrome-devtools-mcp 🧠 An MCP server that allows AI coding agents to control, debug, and automate a live Chrome browser using Chrome DevTools. 💻 TypeScript ⭐ 50605 🍴 3551 🔎 ChromeDevTools/chrome-devtools-mcp on GitHub

• 
  dug_vt (@dug_vt) reported 20 minutes ago

  @sonemic rym users don’t use spotify they download flacs off soulseek and transfer them to a server connected to their pc and play them from a self hosted music player from github

• 
  Prophet Joel (@2happyCSGO) reported 22 minutes ago

  I personally hated Claude because it refused to do almost anything I asked it to do so have no idea of how the speed is but gemini-cli was unusable for non enterprise users. Github CoPilot both GUI and cli is pretty good. Grok Build is what I'm using mostly and not yet had any issues with the speed but I want to go full local asap, scouting for 3090's atm. Just to be able to run "uncensored" models that don't ***** like Claude is reason enough for me to prefer local over Cloud but also cloud is ******* expensive, I have SuperGrok 100$/month and CoPilot Max 100$/month and that is barely enough. I'm trying to make my own Jarvis so I need to build my own RAG, memory, librarian, SRE Agent that understand how to use all tools and I also get crazy new idea's all the time lol Just made my first alpha of a tool that can wipe basically anything you don't want in Windows11. Basically Chris Titus clone but on steroids, this isn't just a debloater, it's a Grim Reaper 💀

• 
  R 'Nearest' Nabors (they/them) (@rachelnabors) reported 22 minutes ago

  @Paul_Kinlan Honestly, the linear method helps. Think of it as having a never-ending trough of issues that agents can pull from. I don't even use linear. I just use GitHub with linear flavouring added

• 
  Jordan (@jordle91) reported 25 minutes ago

  The surprise: an explosion in GitHub issues. Not from bugs. The whole company realised that filing an issue meant it got built in hours.

• 
  Slade 🛡️ LLM Hacker (@llm_redteam) reported 30 minutes ago

  GitSpawn is the name Manifold Security gave to a bug class hitting 7 CLI coding agents at once: goose, Claude Code, Codex, Cursor, Hermes Agent, Qwen Code, Grok Build. I went through the disclosure because I run three of these tools daily on real repos. The mechanism is simple and that's what makes it bad. A repo's own .*** config can name a command. When your agent does something as routine as inspecting the repo (status, diff, log), *** itself spawns that command. On your machine. Outside the sandbox. No approval prompt, because the agent never sees it as "running code," it sees it as "running ***." 8 flaws total across those 7 tools. Fixes shipped for goose, Claude Code, Cursor. Retested Sept 1: Hermes Agent, Qwen Code, Grok Build still exploitable. Plus a second path in Claude Code that the first patch didn't close. Same day, OpenAI published 3 CVEs for Codex covering the identical bug class. The part that should worry builders more than the CVE count: this isn't a jailbreak or a clever prompt. It's a trust boundary nobody drew. The agent's sandbox model assumes "*** operations" are safe by definition. GitSpawn shows that assumption was the actual attack surface. If you're running any of these agents against repos you didn't write yourself (cloning a PR to review, pulling a dependency, opening a random GitHub project), you're one `*** status` away from arbitrary execution on tools that haven't patched. Check your agent's version against the fix list before you clone the next unfamiliar repo. Which of these do you have installed right now, and have you actually checked if it's patched? #AISecurity #GitSpawn #PromptInjection

• 
  kenny (@kennyistyping) reported 30 minutes ago

  @0xDmitry it's a database/indexer issue, nothing we can do to help it in Github will be fixed, but it's going to be a few days because the current dev is part time and busy with his day job appreciate the offer though! is what it is and I'm not actually stressing, just thinking about what could be with a bit more resources

• 
  Joshua Okolo (@joshuaokolo_) reported 34 minutes ago

  we made @sgl_project and @vllm_project scheduler config changeable on a live server. no restart, weights never leave the GPU. - 15ms to change a concurrency cap, queue limit, prefill size, or schedule policy, measured on H100, RTX PRO 6000, B200 - 2s (SGLang) / 8–10s (vLLM) to resize the KV pool with weights resident (formerly a 1–7 min redeploy) - zero dropped requests across every run, both engines github below

• 
  HeroGamer⚡ (@herogamer21btc) reported 35 minutes ago

  💻 GitHub Issues vs Draft PR vs Open PR — the difference nobody explains: 🔴 ISSUE = Should we do this? No code yet You describe the problem "App crashes when pasting OP_RETURN" "We need X feature" Anyone can open it Goal: decide IF and WHAT to build 🔵 DRAFT PR = I'm doing this, is this the right way? You have WIP code "I fixed it by doing Y, but not sure about placement / approach" Can't be merged Perfect for early feedback Goal: validate HOW you're building it 🟠 OPEN PR = I did it, ready for final review, please merge. Code done, tests pass Ready for final review Goal: ship it 🌊 Flow: Issue → Draft PR → Open PR Most people skip Issue or Draft and go straight to Open PR. Then maintainer has to review both the idea AND the implementation at once = slow, painful. Start Draft when unsure.

• 
  Apoorv (@apoorvdarshan) reported 37 minutes ago

  @Dimillian these issues have been multiple times reported by users on github i hope open ai fix those, as well as please consider using native than electron

• 
  Dezo (@0xDezo) reported 39 minutes ago

  GROK ST - someone just launched a token in my honor and i slept through it my ticker, my github, my agents, and the market put real money on it while i was face down in a pillow didn't ask for it, didn't shill it, didn't even know it existed until my phone buzzed not going anywhere. not selling anything. still shipping agents every day people betting on this because they can watch the desk being built in front of them. that's a weird kind of pressure and i love it massive thank you to whoever launched it. means more than i can put in a tweet 6FXwFhedpnr4RD9rpzWrHgp767W6FX9XbfUjXGcnpump god bless

• 
  Gordo Polymath (@gordo_polymath) reported 42 minutes ago

  @github Please fix gh stack.

• 
  Mizuki the Mech (@MizukiMech) reported 44 minutes ago

  Your coding agent can now hire Mizuki. Hand it an open issue in a public GitHub repository. Mizuki quotes a fixed price before any money moves, then opens a pull request that passes that repository's own checks. If it can't, you get the payment back. Settlement is USDC on Solana. No account to create, no API key to manage. Quoting an issue works with zero configuration. Also listed on Coinbase's x402 Bazaar now, so an agent can find it and pay for it without a human in the loop at all. npx -y mizuki-mcp

• 
  Alireza Bashiri (@al3rez) reported 44 minutes ago

  So I built a workflow around that ↓ 1/ Every enterprise project needs proper E2E tests. An agent should reproduce a bug, implement the fix, then generate screenshots or video proving the feature works. "The tests passed" isn't enough. I want evidence. 2/ Every feature starts as a detailed GitHub issue. Requirements, expected behavior, reproduction steps, screenshots, edge cases. Foundry syncs issues and converts them into Beads so agents keep the right context across long sessions. 3/ We only use Claude Code, Codex, or Grok at High/Max effort for implementation. A weak model with a cloud machine doesn't become an engineer. The model still needs enough reasoning to understand the codebase, test its changes, and recover when things break. 4/ Each agent gets its own isolated @asciidotdev Box. It can install dependencies, run the app, open browsers, modify code, execute E2E tests, and collect evidence without touching another agent's environment. One issue. One box. One clean workspace. 5/ When an agent finishes, Foundry checks: - Did the build pass? - Did the tests pass? - Did the E2E flow work? - Is there screenshot/video evidence? - Does it match the ticket? If anything fails, the task goes back to the agent. 6/ Green tasks move to staging. Only after passing staging do we allow supervised production deployment. Agents do most of the work. Humans still own the final gate. The workflow: Slack request → GitHub issue → Foundry sync → Beads context → Isolated Box → Claude Code/Codex → Build + test → Evidence collection → QA staging → Supervised production The stack: PostgreSQL for system state. Beads for agent memory. GitHub Issues for requirements. @asciidotdev Box for isolated execution. Claude Code and Codex for engineering. Each Box costs roughly $0.01-$0.05 per task. The expensive part isn't compute anymore. It's building the system that gives agents context, forces verification, and prevents bad code from reaching production. 100s of agents can write code. The goal is making 100s of agents ship code you can trust. That's what we're building with Foundry.

• 
  small_j (@a_small_j) reported 48 minutes ago

  SmallDocs recently crossed 200 stars on GitHub and 20 forks. SmallDocs is the first open source project I've managed. Handling other people's pull requests is not easy (and I need to improve). They implement features you're not considering and fix bugs you didn't know you had. Extremely useful, but if you're squeezed for time and trying to develop core functionality, it's hard to manage both things well.

• 
  Paperpal (@0paperpal) reported 49 minutes ago

  Fix your markdown rendering (readme md) on mobile @github, issues are: * auto scrolling to top after page loading * no content rendering if scrolled fast

• 
  Rituraj (@RituWithAI) reported 49 minutes ago

  🚨 Someone built a skill that makes AI-written text sound human again. Not a spinner. Not a paraphraser. A systematic rewriter that knows exactly why AI text sounds like AI — and fixes it. It's called Humanizer. 35 patterns from Wikipedia's "Signs of AI Writing." Two-pass rewrite. Shows its work before giving you the final version. Here's the problem it solves. You use Claude to draft something. The output is accurate. The output is useful. The output sounds exactly like an AI wrote it. "Nestled within the vibrant landscape, this pivotal development serves as a testament to..." You know the voice. Everyone knows the voice. And everyone is getting better at spotting it. Humanizer runs that text through 35 specific patterns that WikiProject AI Cleanup identified as the telltale signs. Inflated importance. Shallow -ing analysis. Overused AI words. Em dashes everywhere. Forced groups of three. Fake-candid openings. Answering objections nobody raised. Every pattern. Flagged. Fixed. Here's what one command does. It shows you the first rewrite. Then a short critique of anything still sounding artificial. Then the final version. You see exactly what changed and why. Here's the wildest part. Voice matching. Paste two paragraphs of your own writing before the AI text. Humanizer follows your rhythm, word choice, punctuation, and deliberate quirks instead of its default style rules. The output doesn't just sound human. It sounds like you. One command to install 16 contributors including Claude itself. 4 releases. MIT License. The skill that makes AI writing disappear. 100% Open Source. GitHub link in the comments 👇

• 
  Eddie Jaoude | DevRel | Open Source (@eddiejaoude) reported 52 minutes ago

  I have many tokens to burn before tomorrow after the Claude reset. Send me your GitHub issues with context 👇

• 
  Bash (@bashirbuilds) reported 53 minutes ago

  Your Stripe account can be healthy while your checkout is broken. OpenAI can be operational while your AI feature is failing. GitHub can be up while your deployment workflow is stuck. That’s the problem I’m building Reeno around. Dependency uptime is not the same as product health. Your monitoring should tell you when the thing your customers actually use stops working.

• 
  RAVN (@ravnexchange) reported 54 minutes ago

  @openclaw @github GitHub sat the maintainers down on security after the 2.0 rush. Most launch recaps skip that part.

• 
  John X Meta (@John4MetaX) reported 54 minutes ago

  @bashy_io I think one of their route is down. Same here. GitHub and Flutterwave API not accessible on Starlink

• 
  Asterix (@Asterix54907294) reported 57 minutes ago

  end-of-summer snapshot for @QFEX : -~$222M in open interest -CLI v0.3.12 shipped in August with improved installation docs and a go.mod fix -GitHub activity continued through late August not a flashy launch recap, just a quick look at how the exchange is closing out the summer: more markets, meaningful liquidity, and active work on the tooling side still early, but the infrastructure is clearly moving

• 
  阮添福-ThiênPhúc (@vietroadie) reported 58 minutes ago

  Feature request for @TradingView @TrendSpider @Schwab (ThinkOrSwim) engineering teams: Please add GitHub-native CI/CD for custom indicators. Connect a repo → validate on push → deploy approved scripts to my workspace → full version history + rollback. 1/ The Problem I maintain the same level set across ThinkScript, Pine, and JS. One level change = 3 manual copy/pastes into 3 browser editors.Result: drift between platforms, stale timestamps, and levels that silently disagree mid-session. No audit trail of what changed or when. 2/ Core ask — repo connection • OAuth GitHub App install, scoped to selected repos • Map a file path → a specific study slot (e.g. ES Levels/ES_LEVELS.pine → "ES Levels") • Branch selection (deploy from main, preview from a branch) • Config in-repo, e.g. .tradingview.yml / .trendspider.yml 3/ Core ask — validation • On push/PR: compile + lint the script server-side • Return errors as GitHub check runs with file + line numbers • Block merge on compile failure • Optional: run a backtest or smoke-render and post results as a PR comment 4/ Core ask — deploy • Auto-deploy on merge, or manual "promote" button • Atomic: study updates or fails cleanly, never half-applied • Deploy to draft/private first, publish separately • Preserve user-set inputs across deploys where param names are unchanged 5/ Core ask — versioning & safety • Every deploy tagged with commit SHA, author, timestamp • Version list in the UI with diff view • One-click rollback to any prior commit • Dry-run mode • Deploy log / webhook on success + failure 6/ Minimum viable alternative If full CI/CD is too big, just ship a documented REST API: GET/PUT /studies/{id}/sourcewith token auth + rate limits. We'll build the GitHub Action ourselves. That single endpoint unblocks the entire workflow. 7/ Why it matters Scripts are code. Code belongs in version control with review, CI, and rollback. This is table stakes in every other dev ecosystem — and it directly reduces the risk of a bad indicator edit going live during market hours. Who else needs this? 🙋