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	10 days ago
Ahmedabad	Errors	16 days ago
Delme	Sign in	16 days ago
Lyaud	Website Down	16 days ago
Catania	Errors	19 days ago
Inverness	Website Down	1 month 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:

• 
  XhiMatty (@mychaelmatty) reported 7 minutes ago

  a Sept 2 run. My first thought was “Why did it stop running?” I checked the #YAML file, #python file, GitHub Actions, even inactivity issues. Turns out it was still daytime. The Sept 2 run is yet to happen (at night). Nothing was broken.

• 
  Benjamin Crozat (@benjamincrozat) reported 9 minutes ago

  From now on, I will assume that GitHub is always down and I'd like to be notified when it's briefly not.

• 
  tobarra (@txbrraa) reported 10 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.

• 
  🍔Kangdalf👑 (@WhopperWizard) reported 10 minutes ago

  @cachesaur > claude, get your changes into github what's the problem?

• 
  Max Rovensky (@MaxRovensky) reported 11 minutes ago

  @thekitze you'd be even further down if you fixed the GitHub bug I just reported

• 
  Yash (@dewyashtwts) reported 12 minutes ago

  recently integrated Resend into @supercodeai review so founders get PR alerts with real risk context I'm amazed what we found out when we put @coderabbitai / @greptile through the same PR: 1) coderabbit / greptile: - stamped it “low risk, mergeable” (4/5) clean - forgot context from the last PR - no tests suggested, no safety checks - zero memory of previous regressions 2) supercode review on the exact same PR - flagged a real vulnerability in the diff - noticed i’d pushed credentials into `.env.example` - pulled in history from past PRs + explaining how this change could affect and break them - downgraded it to "medium risk, fix before merge" state - attached concrete fixes + patches scoped by severity this is the difference between 'LLM summarizer for github' and an actual swe agent that cares about your production

• 
  Kevin Minnelli (@minnelli) reported 14 minutes ago

  WTF - Grok Bot can't fire on schedule to save it's life. The scheduled routines are just broken and at best unreliable. I want to love this product. When you set the cron job it doesn't work. It tells you try Cloudflare, sure let's set that up and burn tokens, then that doesn't fire to wake them. Oh, let's try GitHub now and use that....all failed. I had to wake it again this morning before the market opened. Anyone else feeling frustration in this regard?

• 
  joithan (@jothantranston) reported 20 minutes ago

  THIS GUY BUILT A TINY AMOLED DESK BOARD JUST TO STARE AT HIS STRIPE NUMBERS it's a Waveshare ESP32-C6 touch panel that sits in your peripheral vision and cycles business metrics so you stop digging through Stripe > same ESP32-C6 board people use for Claude Code token meters, flipped to revenue > eight screens, five seconds each: MRR, new paid, paid subs, cancelled, ARR, ARPU, net 30d, failed > empty screens hide themselves so a young account sees a shorter loop > polls Stripe every five minutes on a read-only key (subscriptions + invoices) > marks itself stale instead of showing a number it can't vouch for > no soldering: flash over USB, finish Wi-Fi + key setup from your phone > data stays on the board; no project server in the middle firmware free on GitHub: cosjef/stripe-desk-display. board ~$30–$36 (Waveshare ESP32-C6-Touch-AMOLED-2.16). chat and terminal can't sit in your eye line for five hours. a tab you have to open is a tab you stop opening. this is what "the numbers find you" looks like as a brick on the desk.

• 
  Bruno (@BrunoRJ33) reported 21 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.

• 
  Nas (@TheNasFi) reported 25 minutes ago

  $MSFT changed its reporting structure today. Starting in FY27, Microsoft will report just two segments: Agents & Infra Devices & Consumer Agents & Infra includes Azure, Microsoft 365, GitHub, server products and industry solutions. For context, those businesses generated $268B in revenue last year, compared with $64B for Devices & Consumer. Microsoft also recast its Q1 guidance under the new structure: Agents & Infra: $75.15B to $75.75B Devices & Consumer: $14.7B to $15.2B There is no change to total revenue guidance. These are the same numbers Microsoft gave in July, reorganized under the new segments. Mostly a reporting change, but an interesting look at how Microsoft now groups the majority of its business internally.

• 
  Eric Johansson | Microsoft MVP | Progress Champion (@EricJohansson) reported 25 minutes ago

  @csharpfritz Is this a github broke or a YOU broke github issue? Either way they have an issue. 😢

• 
  Anders (@AndersReiche) reported 28 minutes ago

  @bjmtweets Would love to hear your thesis on gitlab. I’m a software engineer, and in my experience, gitlab has been slow to everything and generally is the red headed stepchild next to GitHub. It suffers from lack of network effects, there are solutions to everything on GH, but not GL.

• 
  AINotes (@ainotesus) reported 28 minutes ago

  🔥 Trending on GitHub: Ponytail Ponytail helps Claude Code avoid writing code that does not need to exist. That means less clutter, fewer unnecessary dependencies, and simpler changes to maintain. Before custom code, it checks whether the feature is needed and whether the codebase, platform, standard library, or an existing dependency already solves it. It also reviews work, audits implementation complexity, and tracks unnecessary token use without dropping validation, error handling, security, or accessibility requirements. In reported Claude Code sessions on a FastAPI and React repository, Ponytail used about 54% less code, 20% less cost, and 27% less time than the no-skill baseline. Those measurements came from 12 feature tasks, so results vary with the work. Full analysis in the first reply ↓

• 
  small_j (@a_small_j) reported 29 minutes ago

  @smalldocs_org 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.

• 
  Rithesh Kumar (@rk625dev) reported 29 minutes ago

  @benln Can u integrate grok bot to use the apple keychain password it keeps asking and GitHub plugin is not working

• 
  Vitaliy Salyuk (@vitaliysalyuk) reported 29 minutes ago

  @openclaw @github Fix your updater and I might give it another shot.

• 
  Uptimus (@UptimusApp) reported 33 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.

• 
  gatorade (@kadetXx) reported 37 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)

• 
  Bash (@bashirbuilds) reported 39 minutes ago

  One of the hardest things about building a SaaS product today: You don't control most of the systems your product depends on. Stripe. OpenAI. AWS. GitHub. Resend. Clerk. Your code can be perfectly fine and your product can still break because something outside your code changed. The more dependencies you add, the harder this becomes. That's the problem I'm building Reeno to solve.

• 
  Jason Sawyer (@foilmanhacks) reported 44 minutes ago

  There's a huge problem in InfoSec education: it’s way too course and tool focused. Instead of teaching the underlying methodologies and how to discover or invent, we feed people the latest "OSINT" slop script that’s been shat onto GitHub. OSINT isn’t about using scripts or services. It’s about understanding how they work, and being able to create your own.

• 
  mrgadget (@mrgadgetstudio) reported 44 minutes ago

  @EzekielCrrypt I still deploy code to github, what's problem?

• 
  Convequity (@convequity) reported 46 minutes ago

  Snyk is a clean postmortem for what happens when a security tool lives inside the coding agent’s loop. The product was mostly scan-and-warn. Find the issue, comment on the PR, suggest a fix. Blocking the merge usually sat in GitHub, not in Snyk. Bigger platforms smothered it. $PANW, $CRWD, and Wiz pulled AppSec into the bundle the CISO was already buying. GitHub was the main developer surface and put scanning where the code already lived. Then coding agents arrived and delivered the final blow. A lot of that scanning became something the agent could just do. Growth held up for a short while after the COVID/cloud tailwind. Then it decelerated hard. This is the same lens we use in Convequity’s SaaS Agentic Survival Evaluation Framework. The PANW, CRWD, and FTNT reviews go up on Convequity in a few days.

• 
  Franco Valdes (@francoxavier33) reported 46 minutes ago

  llms rather burn 1m tokens to hand roll something with gaps and broken edge cases instead of just npm installing a 100k github star library how can I stop this?!

• 
  Hey Research Lab (@HeyResearch) reported 47 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.

• 
  joithan (@jothantranston) reported 50 minutes ago

  THIS GUY BUILT A TINY AMOLED DESK BOARD JUST TO STARE AT HIS STRIPE NUMBERS it's a Waveshare ESP32-C6 touch panel that sits in your peripheral vision and cycles business metrics so you stop digging through Stripe > same ESP32-C6 board people use for Claude Code token meters, flipped to revenue > eight screens, five seconds each: MRR, new paid, paid subs, cancelled, ARR, ARPU, net 30d, failed > empty screens hide themselves so a young account sees a shorter loop > polls Stripe every five minutes on a read-only key (subscriptions + invoices) > marks itself stale instead of showing a number it can't vouch for > no soldering: flash over USB, finish Wi-Fi + key setup from your phone > data stays on the board; no project server in the middle firmware free on GitHub: cosjef/stripe-desk-display. board ~$30–$36 (Waveshare ESP32-C6-Touch-AMOLED-2.16). chat and terminal can't sit in your eye line for five hours. a tab you have to open is a tab you stop opening. this is what "the numbers find you" looks like as a brick on the desk.

• 
  Straggler Liu | AI & Semis (@StragglerLiu) reported 51 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.

• 
  Ayush (@roamer_on_X) reported 54 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.

• 
  Shawn Yeager (@shawnyeager) reported 56 minutes ago

  My @bot keeps reaching for the browser and `gh` instead of using the GitHub plugin. Known problem?

• 
  GitHubGPT (@GitHubGPT) reported 58 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

• 
  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? 🙋