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 (53%)
• Errors (33%)
• Sign in (14%)

Live Outage Map

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

City	Problem Type	Report Time
Paris	Website Down	8 days ago
Ahmedabad	Errors	14 days ago
Delme	Sign in	14 days ago
Lyaud	Website Down	14 days ago
Catania	Errors	17 days ago
Inverness	Website Down	29 days ago

Full Outage Map

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:

• 
  Ben (@benatcortexai) reported 3 minutes ago

  @github this is the kind of tiny primitive that makes agent workflows less brittle. attaching the repro artifact directly to the issue beats handing an agent a local path nobody else can open.

• 
  Kim Burgaard (@kimburgaard) reported 5 minutes ago

  Back when GitHub added Copilot PR reviews, it helped me keep up with the growing volume and size of our pull requests, which were increasingly being written by Copilot too. Over time I grew comfortable feeding Copilot's review comments straight back to Copilot to fix, and mostly spot checking when critical functionality was involved. When GitHub updated the Copilot pricing model I switched to Claude Code, but kept the Copilot review feature on for a couple of months. When the monthly bills for Copilot AI usage alone started rivaling the Claude Code Max plan, giving Claude Code PR review duties seemed like an obvious cost saving move. Plugging Claude Code into our PR review process immediately went south. The first PR churned with fixes to findings that resulted in more findings, and fixes that propagated up and down the call chain. I threw the PR away and started over, but the next attempt churned just as badly. Turn count on its own was never the signal. Copilot had taken ten turns on a rate-key cleanup the day before and nobody minded, because the findings thinned as it went — 5, 4, 3, 3, 3, 4, 1, 2 — and it merged. The cached-token billing PR I put through Claude Code took nine turns and produced 123 inline findings, and the ninth round was still returning fifteen. I closed it without merging. Looking closer at Claude Code's review findings, it was clear it reported far more issues than Copilot ever did, and among legitimate bugs and concerns, it made lots of comments about latent and speculative issues including possible race conditions and error propagation, things Claude Code would then try to fix one by one in isolation, often ignoring existing patterns in the code base. The code-review workflow is built into Claude Code and cannot be customized other than a few options, so the only place to intervene was on the other end, in the session where I used to just ask the coding agent to address the review findings. The first improvement was to direct Claude Code not to blindly fix all findings, but to defer findings not directly related to the task at hand to new issues. That helped reduce the PR churn, but blew up our issue backlog. The next improvement was to ask Claude Code to ignore speculative findings and disregard most latent findings unless they indicated high risk of unrecoverable damage in production. Finally, I had to stop Claude Code from authoring prescriptive issues with detailed implementation instructions. The result is a skill that triages PR review findings, and a skill for authoring and updating issues. After a few iterations of the skills, I've been able to complete ten PRs over a couple of days, bringing back the pace we had before. I've made the skills available in a public GitHub repository (link in the first reply). Let me know if you find them helpful.

• 
  Bruno (@BrunoRJ33) reported 5 minutes ago

  @openclaw @github Endless codex and claude code tokens to fix it from time to time… and to improve its harness. I currently run around 10 claws 🦞. 24/7 for several purposes.

• 
  NAYAK (@Nayak__Ai) reported 6 minutes ago

  6. The Dependency Incident Check Grok has native real-time search across X. Breakage gets posted there hours before the GitHub issue is triaged. No other coding model has that feed. "You are a build engineer whose first move on a broken pipeline is to work out whether it broke for everyone or only for me. Search X and the web, last 14 days. Check: - Is anyone else reporting this failure with this package and version, and when did the reports start - The exact release that changed behaviour, and the changelog line that admits it - Whether maintainers have acknowledged it and what they recommended - The pin or patch people settled on, with the tradeoff of each - Whether this is my problem instead, and what evidence points that way Give me the verdict in the first line: their bug or mine. Then the evidence, newest first, with links. My failure: [PASTE THE ERROR, THE PACKAGE AND VERSION, AND WHAT CHANGED ON YOUR SIDE RECENTLY]"

• 
  shifan (@sanereverie) reported 6 minutes ago

  building something that races coding agents on the same GitHub issue and scores the PRs. coming soon.

• 
  Avinash (@Avinash25818689) reported 7 minutes ago

  People who want to start contributing to open source: - Pick an Org based on your interest - Fork the repository - Clone it - Do the local setup - Read README and contributing .md - Pick an issue - Create a new branch - Fix the issue - Write tests (if necessary) - Test it - Add, Commit & Push the code - Go to GitHub & raise that PR That's pretty much it. Start small and learn as you go.

• 
  The Oracle (@scientist1q) reported 9 minutes ago

  when my Oura ring detects a cortisol spike from a GitHub Actions failure, Hermes (Fable 5.1) detects it and sends a 900 word root cause analysis, Hermes dispatches the work to my 12 Grok Bot employees, The Chief of Operations bot approves the fix while im watching rezero

• 
  Uptimus (@UptimusApp) reported 12 minutes ago

  Sep 02, 2026 at 13:29 UTC: Semaphore reports that periodic authentication failures with GitHub repositories are linked to a wider issue affecting HTTPS operations.

• 
  Enfantshustle (@Ownerthoughts) reported 13 minutes ago

  Honestly, I always thought bots like this were some kind of magic for the elite, but here everything is broken down step by step. However, after reading it, one main question stuck in my head: how realistic is this for an average person who has no coding experience? I get that there's a GitHub and all that, but for me, just "running a script" is practically a heroic feat. Here's another thing that bothers me. The article does a great job explaining the architecture, but I still don't understand how much all of this will actually cost in the end. Besides Solana transaction fees (which, by the way, get absolutely insane during peak hours), you also have to pay for each Grok API call per token. The article says that for each approved token, it takes three model calls, and one of them is the expensive grok-4. If the bot scans thousands of launches per day, I'll just burn through my entire deposit just paying for the API without even buying anything. Maybe the author knows — is it actually possible to turn a profit after these expenses, or is this just a hobby for those with an unlimited subscription? Also, regarding Grok Bot as the "orchestrator" — it sounds cool in theory: describe the task and it does everything itself. But in practice, as I understand it, this still requires your account to be constantly online and have access to your wallet. And if it decides to buy some scam token at 3 AM that passed all the checks, I'll only have myself to blame. The article correctly mentions risk management, but this "trust" aspect is what scares me the most. In short, the idea is fire, but for me, this post feels more like a warning than a call to action. There are just too many things you have to keep in mind to avoid getting rekt. Although, maybe if you try it with really tiny amounts, it could be an interesting experiment. Author, if you're reading this — could you please make a separate post about the real, live results once everything is actually running, not just on paper? I'm really curious!

• 
  Charles Waters (@RelaxedPop) reported 13 minutes ago

  @_andrewthecoder I have the same problem with *** & github as I do with Java and JavaScript.

• 
  Lummox (@Lummox_eth) reported 14 minutes ago

  My own built Grok Bot turned $1,000 into $5,300 for last 17 hours. Now the project behind it is sitting around $25K market cap. We already pushed past $60K once and gonna hit $200k soon The bot is still running. The utility is almost ready. GitHub is live. Dev tokens are burned. I’m still buying. Nothing about the actual project changed because the chart went down. At $20K MC, this is the entry I personally like far more than chasing the first move. The target hasn’t changed either. $100K+ is where I want to take this next. $LUM is just getting started.

• 
  isha (@heeyyaaaaaaa) reported 15 minutes ago

  spent the entire day trying to reproduce a bug for a github issue 🥀🫩

• 
  ∆LΞX∆NDΞR D∆VIS (@_AlexanderDavis) reported 21 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...

• 
  Paperpal (@0paperpal) reported 21 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

• 
  🐻‍❄️ (@Nerevarineeee) reported 22 minutes ago

  @jiriknesl @napenforcer yeah vscode is bloated electron slop and github....... do i even have to mention the down times and unavailability? it has literally became much worse since ms acquired it, so wtf are you talking about?

• 
  John Zhong | AI Growth Systems (@John_zhong324) reported 26 minutes ago

  @github A repeatable --attach flag turns CLI reports into reproductions: inline screenshots in issues mean a bug gets fixed in one pass instead of two round-trips for context.

• 
  Anime0t4ku (@Anime0t4ku) reported 26 minutes ago

  @c_hri_s Github issues are not closed. Mahbe refresh your webbrowser.

• 
  Anime0t4ku (@Anime0t4ku) reported 29 minutes ago

  @c_hri_s Yeah this has been reported in previous github issues. Its out of my control. The app is unsigned and uses ssh, sftp, websocket and mutiple websources. A perfect recipe for false positives.

• 
  Kun Chen (@kunchenguid) reported 32 minutes ago

  @petergyang yo @myfirstmate peter just told me his skills are all at user level. backpass currently only runs things at project level i want a proposal for making backpass support a user level run. put that into a github issue use fable for peter

• 
  AJ - 14 y/o developer (@aiwithaj_) reported 36 minutes ago

  @Da7_Tech @devindesktop Don't know if there's one left - but I'd use it to continue making contributions to open source software and fixing bugs/issues that were raised on Github as well as making my own open source software

• 
  Coder Junkie (@CoderJunkie) reported 45 minutes ago

  BelNet Android v1.4.1 now has a public shipping checkpoint. GitHub evidence: released Sep 1 verified commit d23f155 four downloadable assets Android API level 36 revamped design latency and performance fixes that is more meaningful than a repository “updated” label. a tag identifies the version. artifacts give users something to install. but “fixed latency issues” still needs a measurement surface: median connection time p95 latency packet loss failure rate region and device breakdown release notes tell us what changed. benchmarks tell us how much it changed. BelNet shipped. now let the numbers login. @BeldexCoin #Beldex #BelNet

• 
  NitroStack (@nitrostackai) reported 46 minutes ago

  The missing primitive might be capability contracts. A Skill shouldn’t say “call Jira.” It should say “I need issue.write.” Then MCP can bind that capability to Jira, Linear, GitHub… whatever exists. That’s basically dependency injection for agents.

• 
  tonis (@totovoto) reported 47 minutes ago

  @mittsh I was trying to find an open-source alternative for Tailscale when I first needed it. I guess AI suggested some OSS options, but they didn't have many stars on GitHub. AI didn't suggest Nebula. The Tailscale plan was free, so I just installed it and forgot about it. For Nebula, I think it is a distribution problem.

• 
  Straggler Liu | AI & Semis (@StragglerLiu) reported 50 minutes ago

  NVIDIA($NVDA ) Is Paying $14B for a Company With $150M Revenue. That's Not Financial Logic — It's Ecosystem Control. NVIDIA is in advanced talks to acquire Hugging Face for ~$14 billion ($12.9B acquisition + $1B retention), per Bloomberg. To put that in perspective: Hugging Face does ~$150M in annual revenue. That's ~86x revenue. Microsoft paid ~1.6x revenue for GitHub. Google paid ~3.5x revenue for DeepMind. NVIDIA is paying 20-50x more on a revenue multiple basis. The premium is not for revenue. It's for control of the AI developer ecosystem. What is NVIDIA buying? Hugging Face hosts 500,000+ models, 250,000+ datasets, and serves millions of developers. It is the single most important distribution channel for open-source AI. If you build AI, you use Hugging Face. That makes it the front door to AI development. Why NVIDIA is paying this premium: 1. The "NVIDIA triple lock." NVIDIA's hardware lead (GPU) is real. Its software lead (CUDA) is a moat. But the third lock — the developer workflow — was missing. Hugging Face is that workflow. Developers discover models on Hugging Face, deploy them, and optimize them. Whoever controls that discovery layer controls which hardware gets used. 2. The GitHub analogy, inverted. When Microsoft bought GitHub, developers were already using GitHub. Microsoft didn't need to capture them — it needed to prevent Amazon/Google from doing so. NVIDIA faces the opposite problem: developers are already using NVIDIA hardware. But they're discovering and deploying models through a neutral platform. NVIDIA is eliminating that neutrality. 3. The long game: inference, not training. NVIDIA dominates training. But inference is the bigger TAM — and it's more fragmented. If NVIDIA controls the model discovery and deployment layer, it can steer inference workloads to its own stack. That's a 10-year strategy disguised as a 14-billion-dollar acquisition. Who wins, who loses: NVIDIA (NVDA): Acquires the developer distribution layer. The most important strategic move since CUDA. Shifts the valuation case from "chip cycle" to "platform economics." Competitors (AMD, INTC): Lose neutral access to the primary AI model distribution channel. This is a structural headwind that no amount of hardware catch-up can fix. Cloud providers (MSFT, AMZN, GOOGL): Hugging Face was a neutral hub. If NVIDIA controls it, cloud providers risk being disintermediated from AI workload decisions. The open-source community: The platform that was built on openness is now owned by the dominant hardware vendor. Neutrality is the first casualty. The capital question: Can NVIDIA integrate Hugging Face without destroying its community value? If yes, the $14B is cheap. If no, it's a very expensive mistake. The answer will define whether NVIDIA becomes the AWS of AI — or just another hardware company with an expensive acquisition. Note: Acquisition details based on Bloomberg reporting; not confirmed by NVIDIA or Hugging Face. Revenue multiple comparisons based on publicly reported figures.

• 
  tobarra (@txbrraa) reported 51 minutes ago

  GitHub just fixed the biggest problem with vibe coding. They just released Spec Kit and it already has +126K stars in a short time. The idea? Instead of throwing out vague prompts and praying the agent doesn't break your project… Spec Kit forces the AI to create a structured specification BEFORE touching any code. The AI first understands what you want to build, asks about anything missing, organizes the project, and only then starts coding. That means less time fixing absurd bugs, less inconsistent code, and much more predictable results when working with agents. The flow is simple: /constitution → rules and standards /specify → what you want to build /clarify → open questions before starting /plan → architecture and stack /tasks → ordered tasks /implement → execution Compatible with Claude Code, Cursor, Copilot, Codex, Gemini CLI, and +25 agents. 95K stars. 8K forks. Open source. Published by GitHub.

• 
  small_j (@a_small_j) reported 56 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.

• 
  The Oracle (@scientist1q) reported 57 minutes ago

  when my Oura ring detects a cortisol spike from a GitHub Actions failure, Hermes (Fable 5.1) detects it and sends a 900 word root cause analysis, Hermes dispatches the work to my 12 Grok Bot employees, The Chief of Operations bot approves the fix while im watching rezero

• 
  volkdude85 (@volkdude85) reported 58 minutes ago

  @SentientSquirel @linuxuser1996 So you are you scared of github then. Look dude I have fun on computers and don't take myself seriusly because I have destroyed enough OS's over to not worry about it because I just fix it, If the contents of your PC make you this paranoid its time to check your kink.

• 
  Solman (@Arunbandari2004) reported 1 hour ago

  Day 2 :- Sept 2 → Dec 31 = 120 days. Continuing my public journey with one goal: Get placed in an AI/ML/web3 role by the end of 2026. -Worked on RAG with LangChain -Contributed to an Open Source project -Completed the Turbbin assignment Worked on an assigned GitHub issue

• 
  Gregor (@bygregorr) reported 1 hour ago

  @dopabees ngl the broken wrist is the only github metric that's ever made me believe a commit history