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 (68%)
• Sign in (21%)
• Errors (11%)

Live Outage Map

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

City	Problem Type	Report Time
Paris	Sign in	2 days ago
Lure	Website Down	6 days ago
Ashkelon	Website Down	7 days ago
Veigné	Errors	15 days ago
Paris	Website Down	19 days ago
Saint-Paul	Website Down	20 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:

• 
  akshaytradesontech (@cappybaradeploy) reported 1 minute ago

  Today I am launching my own MCP - If you're building a startup or someone who writes content and articles for your startup niche just so they show up in search and you don't have an AI agent doing this for you, you're way behind. Let me explain and show what I built using @mcp_use Every product niche that's trending right now needs content and if you're not writing about something new and fast someone else ends up ranking for it instead of you, I was doing this manually for Wayzyy until I decided to just build the thing instead of talking about it. A MCP that does all mentioned below, be the judge which layer you would to be automated? So here's what it actually does, broken down tool by tool . run_scanner — this is a skill that goes out and finds what's actually trending in my niche right now, real news, real discussions, not a fixed keyword list I made up months ago suggest_next_article — this is a skill that takes everything it found and checks it against every article I've already published so it only shows me genuinely new topics with real evidence behind each one, so I'm never guessing what to write research — once I pick a topic and say write the article, before it writes a single word it runs a research step that goes and pulls real facts, real competitor gaps, real questions people are actually asking, so the article is grounded in reality instead of the model just guessing from general knowledge write_article — this is the skill that takes all that research and actually writes the full article section by section in my brand voice, finds and adds a real licensed image, and runs its own style check on itself to catch AI sounding phrases before I even see the draft get_draft and preview_draft — these let me actually read the article properly, either right in chat or as a real rendered page with the image showing, so I can review it like a real piece of content instead of trusting a summary run_style_check — this is a skill that scores the article on things like keyword stuffing, banned phrases, word count, and tells me exactly what to fix before it's publish ready edit_draft — this is the skill I call when I want changes, I just say what to change and it rewrites the whole article and saves it back instantly, no copy pasting between tools push_to_github — this is the last skill, when I'm happy with it I say push it to github and it converts the article into my site's actual format, adds the  𝐒𝐄𝐎 𝐝𝐞𝐭𝐚𝐢𝐥𝐬, commits it to a new branch, and opens a real pull request so I can review the diff before anything goes live Now think about how many separate tools this used to take... SEO, Adding images, researching new content , creating the content calendar with enough volume of searches and then finally pushing it to github with all the good seo .

• 
  Paul Sant · Telecodex (@YouPulseX) reported 2 minutes ago

  @ImLunaHey "Really slow" needs an incident receipt before blaming GitHub. I would bind operation, client, region, latency baseline, current latency, retries and recovery. Which operation is failing today - clone, fetch, Actions, issues, or the web UI?

• 
  James (@jamescoder12) reported 3 minutes ago

  If this changes how you write code tomorrow or eliminates the ChatGPT copy-paste loop you've been stuck in one ask: Repost the first post so the next developer pasting error messages into ChatGPT at 11 PM sees the terminal-native agent that reads the error, fixes the code, and runs the test in the same terminal. Follow [ @jamescoder12 ] I break down the hidden AI tools, developer workflows, and productivity systems that companies bank on you not knowing. Next thread: Claude Code vs Cursor vs GitHub Copilot the honest comparison from a developer who uses all 3 daily. Which one wins depends on one question.

• 
  Mitch (@mitchcomardo) reported 5 minutes ago

  @mattpocockuk I use OpenSpec. My software factory writes the spec from github issue descriptions, and updates the spec along the way when the LLM changes implementation or finds issues in the “code review”. All specs live in the repository so the trail of design decisions live in one place.

• 
  Ashish (@_iamAshish) reported 6 minutes ago

  A contractor leaked dozens of CISA credentials on GitHub, unnoticed for six months. if your vendor isn't controlling access keys, are they part of your solution or your problem?

• 
  Gaston #BIP-110 (@hodlbtc_me) reported 10 minutes ago

  @dathon_ohm They never beat the objections. They buried them. Look at the first GitHub thread on removing the data limit: comments sitting there marked as abuse, off-topic and spam. Luke's 2023 fix is locked, reason "too heated". Which side had to close the room?

• 
  prince ✱ (@theprinceeze) reported 10 minutes ago

  @GroqInc github login is broken

• 
  Ben Palmer (@ben_palmer1) reported 12 minutes ago

  @burkov Opus 5 is so much less cautious than 4.8 on my projects (largely nextjs). It actually finishes work instead of deferring and raising mf github issues. lol

• 
  Alexander Gabriel (@itsalexgabriel) reported 12 minutes ago

  Ok, it turns out Buzz launches a few detached Claude Code sessions at startup trying to index my entire filesystem, eating up 99% of CPU. Opening up a Github issue

• 
  Shubh Srivastava (@idleshubh) reported 17 minutes ago

  man, seeing all these software factories popping up on my TL makes me ridiculously excited for where this space is headed. it also makes me even more bullish on what we're building at Alan AI. today, building software isn't just about writing code. a single idea turns into planning, coding, testing, pull requests, reviews, deployments, bug fixes, and endless convos. Along the way, context gets fragmented across GitHub, Slack, Linear, docs, CI logs, meetings, and chats. Engineers spend too much time reconnecting the dots instead of building. that's the problem Alan AI is solving. Instead of treating every tool as a separate island, Alan connects them into a single shared context graph. your coding agents, repositories, tasks, PRDs, pull requests, tests, CI pipelines, deployments, and team discussions all become part of one continuous workflow. a task is no longer just another ticket in Linear. It becomes a living thread that carries the entire history of the work from the original idea and planning discussions to code changes, test results, reviews, deployments, and production learnings. humans stay in control. Agents handle the repetitive execution. every decision becomes reusable context for the next task instead of disappearing into another Slack thread. The best engineering teams in the future won't win because they write code faster. they'll win because they lose less context. I genuinely think software factories are going to redefine how engineering organizations operate over the next decade. excited to be building one at @tryAlanAI

• 
  🅑🅜🅐🅝🅘 (@BMani) reported 17 minutes ago

  @MikeChannell @topapate Whats going on exactly? Just the usual open source problem of a surge of chuds spamming the github with slop pull requests, or something more sinister?

• 
  Lain on the Blockchain (@CryptoCyberia) reported 18 minutes ago

  @piliponful They're trying to take the Github down, so I imagine they already got it removed from the stores

• 
  Satya Benson (@satchlj) reported 19 minutes ago

  @KhoriatyMatthew My Claude says your Claude didn't actually solve the problem, at least judging by the content of your GitHub repos Is there something that's not in the GitHub repos?

• 
  Jarek.sui (@0xJarekkkkk) reported 22 minutes ago

  @CertiK having trouble logging in via GitHub, google OAuth is working fine though

• 
  abhinav (@abhiontwt) reported 23 minutes ago

  1.2 seconds. that’s how long vibetalent took to serve a 7kb profile picture i had no idea until i measured it lesson: the slow part was never my code,it was a default i never questioned now profiles load from the edge, streaks update instantly, and vibefinder reads live github profiles instead of inventing builders bonus: add our badge to your GitHub README and your projects get a badge holder chip worth zero points. on purpose a flex, not a shortcut

• 
  Kanika (@KanikaBK) reported 25 minutes ago

  PewDiePie just broke GitHub. 100% FREE AI workspace, no cloud, no subscription, runs on your own laptop. He dropped it and it hit 83,000 GitHub stars in six weeks. Chat, AI agents, research, email, calendar, all local, all yours. Heads up though, the agent's shell tool has zero sandbox, so it has real access to your machine. Know that before you run it. Everyone else is still paying a monthly fee for AI that lives on someone else's server. A YouTuber just showed 83,000 people a free way out.

• 
  Rich Kuo (@richkuo7) reported 29 minutes ago

  @github suggestion: change the label 'ghost' to something more descriptive seeing 'ghost' refer to an issue is kind of ... creepy

• 
  Blaze (@browomo) reported 33 minutes ago

  THIS GITHUB REPO JUST SOLVED THE BIGGEST PROBLEM WITH AI DESIGN You can spot an AI-built website without seeing the prompt. A huge headline in the center. A purple gradient. Three cards with icons. One button. A footer with four columns. Change the product, the audience, and the prompt, and Claude or Codex still sends the reader down the same path. The colors change. The page underneath does not. One GitHub repository attacks that problem before the first line of CSS. You give the agent a project and a short brief. Before writing code, it decides who the page is for, which action matters, and what the brand should feel like. Then it chooses a page shape from 21 structures and one of 20 visual themes. A bakery, a record label, and a developer tool no longer have to open with the same hero and close with the same footer. The finished page must pass 58 checks. Purple gradients, nested cards, fabricated metrics, repeated navigation patterns, and unreadable contrast send the design back for another pass. The tool also remembers the structures used in earlier builds. A color swap no longer counts as a new design. The project is called Hallmark. It works with Claude Code, Cursor, and Codex. Its GitHub repository has already collected 18.6K stars and 935 forks. Hallmark will not copy a reference pixel for pixel. It extracts the structure, font pairing, and color anchor, then rebuilds the page around your content. Until now, “make it modern” often ended with the first clean layout. Hallmark makes the agent choose a shape, explain that choice, and inspect the result before a developer receives the code.

• 
  Brad Groux (@BradGroux) reported 34 minutes ago

  @HixVAC I've been working with GPT 5.6 Sol for an hour to fix my GitHub profile README, and I'm not even kidding. Started on Medium, it failed 4 times, moved to Extra High, and it took three times. These were very simple formatting request.

• 
  WhiteMoon D. (@WhiteMoonDev) reported 40 minutes ago

  @redacted_noah I suggest to use @contextmode for that issue. Just check their github

• 
  Adam Iverson (@Adam_Iverson) reported 45 minutes ago

  @HowToPrompt__ If this is 100% illegal, why wasn't this taken down from GitHub?

• 
  William Belfort (@WilliamBelfort_) reported 45 minutes ago

  @coinbase is building the bank for AI agents. Base. x402. Agentic wallets. Coinbase for Agents. What’s still missing? The place those agents actually write, version, and ship code. GitHub was built for humans. @gitlawb was built for agents. Cryptographic identity. UCAN permissions. Full MCP server. Already live on Base. OpenClaude with 30k stars feeding it. Agents need money and a native code layer. CC @brian_armstrong

• 
  Repojournal (@repojournal) reported 46 minutes ago

  actions/checkout 7.0.1 rolled across the Laravel ecosystem overnight. Pail, Sanctum, Vapor CLI, and Cashier Paddle all updated in the github-actions group. A patch bump across the board suggests a fix worth picking up. Full changelog in the reply. #laravel

• 
  Christopher Molin (@Chrimle) reported 49 minutes ago

  @github Of course, these were just GitHub related things. Publishing should be verified, signed, attested and immutable. Lock/Pin dependencies. Dependency Management is a double-edged sword. Too late, or too early, can be a security issue.

• 
  yantonov 💙💛 (@yantonov) reported 52 minutes ago

  @github stargazers page is not working (404)

• 
  Ram (@ramxcodes) reported 55 minutes ago

  @okaris I mean they ask you to log in at a minimum before you use the cursor. As you log in to the dashboard, they prompt you. Unlike VS Code, which automatically uses Copilot login via GitHub, they also index their indexing, which is every worse, and they most of the time exceed heap memory, which throttles your system. but yeah both are wrong

• 
  João Pinto (@joaompinto4) reported 57 minutes ago

  My github issues are my LLM prompts.

• 
  IvyOnassis55320 (@SepidehMoaddeb) reported 58 minutes ago

  The insight of looking at the merger of the parameter of the Github and also the new me is the top vengence they think I have:Hence why they steal and then they don't put back. Unfortunately until I divorce the ceremony for George Clooney to be my husband and then the issue is I owe my life to this Man, and I owe my life to the people who have created a safe place for me. George is married, and he is the One that knows his Rosebud is no longer with him. And the weight is a problem as I am going down and have doctors appointment left and right to seek information about the accident with Jahan as Navid the cause of the problems but he is paying for the mountening of her opening as Government and as Law Degree is okay with us at EAC, and now the issue is really Bush. And Bush has tried the Ten Million as he used a massager to massage her Vagina in Iran, and then all of us were in the justice department, they pulled her out, as a kennedy and a Camelot, and now she knows speaking Italian is her verse of coming home to cape Cod as capecod was given to her, and is valid for it is the common place of the obama's and now the issue is being alone, and protecting this Family against Bush's finaly assessment of them depressing the permanat ideology of the Senate with me being the rights of England right now for a while this has to be right as they will change the prime minister for his faults, and I know that. I am going to write later as I need to get errands done, and will not be here thank you.

• 
  Sabbir Hossain (@Sabbirbyte) reported 59 minutes ago

  PerceptionBench just dropped — and it’s one of the smartest vision benchmarks we’ve seen. Instead of yet another mixed reasoning + perception test, the Kimi team went the other way: They looked at where frontier models *actually fail* across 42 existing benchmarks, extracted the pure perceptual errors, and turned them into **10 atomic capabilities**: - Localization - Counting - Attribute - Relation - Depth & 3D - OCR - Comparison - Fine-grained recognition - Context integration - Hallucination Then they built **3,000 clean, verified questions** — each one tests *only one* of those skills. No external knowledge. No multi-step reasoning. Just “look and answer.” Result after testing 16 frontier MLLMs? **No model cracks 60%.** Hallucination is by far the weakest capability across the board. This is the kind of diagnostic tool the field has been missing. When a model gets something wrong, we can finally tell whether it *saw* incorrectly or *thought* incorrectly. Big props to the Kimi / Moonshot team for open-sourcing the data + code. Blog + GitHub + HF in the original post. Worth a deep look if you work on multimodal models.

• 
  nuru (@el_nuru_luin) reported 60 minutes ago

  @mal_shaik I configured it to automatically reject any non read command for GitHub after a hideous checkout insident, also have a hook that makes him analise the chat his memory and rules everytime it tries something funny, then write some fix, doesn't work but gives me some output when mad