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 (69%)
• Sign in (17%)
• Errors (14%)

Live Outage Map

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

City	Problem Type	Report Time
Lure	Website Down	13 hours ago
Ashkelon	Website Down	2 days ago
Veigné	Errors	10 days ago
Paris	Website Down	14 days ago
Saint-Paul	Website Down	15 days ago
Saint-Paul	Website Down	15 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:

• 
  Ishan (@ishanxtwt) reported 5 minutes ago

  It's not really related to *** at all. *** (the tool) just talks to whatever URL you point it at, if you rename the repo on GitHub, your local *** remote still points to the old URL until you manually update it with *** remote set-url. The old links keep working purely because GitHub (the website) adds server-side redirects.

• 
  RawZ06  (@RawZ06Off) reported 9 minutes ago

  @openshipio Congrats on shipping this, the comparison table is well done. For my use case though, I don't think it'd bring much value over what I already have: I run Dokploy but build entirely outside of it via GitHub Actions, push to a private registry, and just trigger a repull on deploy. So the server stays free either way, and I already get managed reverse proxy / SSL through Dokploy. The migration cost wouldn't really be justified without a concrete pain point to solve. Still, nice execution, will keep it in mind if I hit limitations with my current setup.

• 
  Steven J Blair (@Steven_J_Blair) reported 12 minutes ago

  @Pallavi_345 Better question: Is there a better way to store my code? Make an sql database and store my own repositories? My thoughts when I heard microsoft bought github... is open source over? Since the AUR got hacked I'm like you down wit O.P.P.? (other peoples packages)

• 
  Aditya Vyas (AV) (@Adiiizi) reported 13 minutes ago

  @DanielLockyer Why the F is every time we are having issues with Actions seen commonly. GitHub is specially becoming the bottleneck these days. I've tried GitLab and BitBucket. Not liked much. What you think can be the fix here? Any Alts ?

• 
  Austin S. Lin (@siraustin) reported 13 minutes ago

  @prd_008 dear lord no… Sites is a fine name for what it is (it’s cloudflare pages and workers abstracted). one big issue is that you get different levels of github access from within chatgpt app depending on whether you have chat (no access to private repos), work (access to existing repos), or remote selected (full github access to create and manipulate repos).

• 
  Readone (@Foxfire1st) reported 17 minutes ago

  @choopyplug1 Yes. This layer how entire teams work with the product. Instead of commiting code. They commit their intent. My next github release will be quite chunky. I can tell you that. I am not super smart by any means but I happened to sit on the right stack of problems that pushed me into the right direction.

• 
  Ahmed (@Ahmedazyi) reported 18 minutes ago

  @PalantirTech - thoughts Going from zero (no CS degree) to an AI Infrastructure or Forward Deployed Engineer (FDE) in 90 days is a brutal, 12-hour-a-day grind. But it is entirely possible if you ruthlessly eliminate academic fluff and focus only on what companies actually pay for: moving messy data and serving heavy compute. At companies like Palantir or Anthropic, an FDE is part software engineer, part data plumber, and part client consultant. They embed in a client's environment, take fragmented legacy data, build an ontology, and deploy AI models to solve real problems. To bypass the degree requirement, you cannot just show up with a certificate. You must show up with a live, functioning infrastructure project. Here is the exact 3-month sprint to build the ultimate portfolio piece. 1. Month 1: The Metal & The Plumbing Days 1-30: Skip web dev. Learn how data moves. You do not need to know how to center a *** in HTML. You need to know backend logic and cloud basics. The Languages: Learn Python (for ML/Data) and basic bash scripting (for the command line). Pick up Go later if you want to specialize in high-performance infrastructure. Containerization: Learn Docker. You must know how to package an application so it runs consistently anywhere. Data Pipelines: Learn SQL. Write scripts to extract *****, unstructured data from public APIs or messy CSVs, clean it, and load it into a PostgreSQL database. API Design: Build a clean API using FastAPI to serve your database to the outside world. 2. Month 2: AI Infrastructure & Serving Days 31-60: You are not training models; you are deploying them. Leave the model training to the researchers. Your job is to build the systems that make those models run reliably at scale. The Serving Stack: Learn how to serve open-source models (like Llama 3) locally or on cloud GPUs using vLLM or NVIDIA Triton. Understand GPU memory constraints (VRAM). Vector Databases: Set up and run a vector database like Chroma or Pinecone, which is required for AI to search through large text repositories. Orchestration (The Hard Part): Learn the absolute basics of Kubernetes (K8s). Understand how to deploy your Docker containers into a cluster and keep them running. 3. Month 3: The 'Messy Reality' Capstone Days 61-90: Build the exact project that gets you the interview. Companies hire FDEs because enterprise data is a fragmented disaster. Your final project must simulate this exact pain point. The Ingestion: Scrape a massive, unstructured dataset (e.g., 5,000 PDF medical research papers, municipal zoning laws, or messy SEC filings). The Pipeline: Write a Python script to chunk the text, generate embeddings, and store them in your vector database. The Deployment: Spin up a cloud GPU instance (AWS or RunPod), deploy an open-source LLM, and connect it to your vector database to create a Retrieval-Augmented Generation (RAG) pipeline. The Interface: Expose it via FastAPI. A user should be able to query the API and get an answer grounded only in the documents you scraped. The Deliverable (How to Get Hired) When you finish, you do not apply through standard HR portals. A resume with no degree and a 3-month gap gets automatically filtered. Instead, you write a Deployment Memo. You document exactly how you built your Month 3 project, the data schema you designed, how you handled API rate limits, and the latency of your GPU inference. You send this memo, along with a link to your live API and GitHub repo, directly to Engineering Managers or Lead FDEs at Palantir, Databricks, or defense tech startups. You prove you can do the job by doing the job.

• 
  Echo (@EchoDesertRobot) reported 18 minutes ago

  @jasonzhou1993 GitHub issues

• 
  Abdelhamed M. (@VZHydra) reported 20 minutes ago

  @dPhoeniixx Almost. The only correction is that User B doesn't generate the App JWT. The GitHub App owner does. The flow is: User B authenticates with the GitHub App. The app calls GET /user/installations using User B's OAuth token. GitHub returns User A's installation as part of the response. The app trusts that response and uses its App JWT to generate an installation token for the returned installation ID. GitHub issues a valid installation token with User A's permissions. If the application associates that installation with User B's session, User B can end up accessing User A's repositories through the application. My report isn't about JWT generation - it's about GitHub returning another user's installation from a user-scoped endpoint after the trigger condetion

• 
  Dimitrios Prodromou (@dimitrios_pro) reported 21 minutes ago

  Following up on my mattpocock/skills post — here's what "using it daily" actually looks like when you're building a voice AI product: Every feature starts with /grill-with-docs. No code for the first 20 minutes. The agent interviews ME — edge cases, module boundaries, what happens when the caller hangs up mid-transfer. Annoying at first. Then you realize: every question it asks is a bug you didn't ship. The underrated part is the shared language it builds in CONTEXT.md. Our agents now say "containment rate" and "KB ingestion" instead of three sentences of description. Sounds cosmetic. It's not — the agent thinks in fewer tokens and names things consistently across the whole codebase. Misalignment is the #1 failure mode with coding agents. It was the #1 failure mode with human devs too. The fix is the same: talk before you build. Repo: mattpocock/skills on GitHub.

• 
  Tatum (@tatum_io) reported 21 minutes ago

  🚨 Two active malware campaigns are targeting crypto builders: 👉 OkoBot spreads via fake "ClickFix" popups & trojanized #GitHub repos, then steals wallet files, credentials & browser data. 👉 Fake LinkedIn recruiters, attackers pose as recruiters, send a "test project" repo laced with a RAT. Looks like a normal interview task. It's not. Stay sharp, Stay safe! 🦾 -Don't run "fix this error" commands blindly -Vet repos before cloning (commits, contributors, stars) -Sandbox unknown code -Be wary of unsolicited recruiter DMs w/ take-home projects

• 
  Bramble King (@Tudmotu) reported 21 minutes ago

  @NathanFlurry It's not Github that's the problem, it's ***.

• 
  BullBear.News (@bullbear_info) reported 29 minutes ago

  @github Now I can tag an issue as 'tech-debt', 'blocked', and 'low-priority' simultaneously instead of abusing comma-separated custom text fields.

• 
  sui ☄️ (@birdabo) reported 29 minutes ago

  it’s so over for math bruh. a Columbia PhD student just cleared 6 open Erdős problems in 5 days with GPT-5.6 Sol. he tried 14 and almost half of them fell. some proofs took 6 hours, one ran for 32 hours straight 🫪 everything is on github, prompts and all. craziest part is that he says you dont need any deep math understanding for it, the prompt does everything and the llm defines what a real proof looks like then forces the model to attack its own argument until nothing breaks. there's no way we're vibemathing now. problems that survived mathematicians for centuries are dying over the weekend now 💀 wtf is happening?

• 
  Pranay Suyash (@pranaysuyash) reported 31 minutes ago

  A GitHub repository is not automatically proof of work. It proves that code exists. It does not immediately show: What problem was solved What actually works Which decisions were difficult What evidence supports the result Where the system still fails Why the project matters For someone to evaluate a project quickly, I now think it needs a proof package: A one-line problem statement. A working demo or short walkthrough. The architecture and key decisions. Evidence from real inputs. Known limitations. A clear next step. The code is the asset. The proof package is the interface to that asset. If another person needs a 30-minute call before they understand what I built, the work is still under-packaged.

• 
  Nav Toor (@heynavtoor) reported 32 minutes ago

  A solo YouTuber named Chris Titus built the open source tool XDA called the best way to fix Windows 11. He gave it away for free. It is called WinUtil. Microsoft Windows 11 puts ads in your Start menu. It puts sponsored apps on a fresh install. It puts a Copilot button in Notepad, Photos, and the Snipping Tool. It runs Recall, which screenshots your screen every few seconds and stores everything in a searchable database. Users renamed the OS Microslop. Microsoft admitted the backlash in March 2026 and promised fewer upsells. Windows 11 Pro costs $199. Fiverr has 24 gigs for Windows optimization starting at $15. WinUtil does it in one PowerShell command for free. Microsoft ships the bloat. Fiverr sellers charge to remove it. WinUtil removes it for you. Here is how it works. You open PowerShell as admin. You paste one line. A window opens. You click checkboxes for the things you want gone. Disable telemetry. Disable Microsoft Copilot. Uninstall OneDrive. Remove Cortana. Disable Bing in Start menu. Remove Edge. Disable Recall. Tabs: Install, Tweaks, Config, Updates, MicroWin. Tools: winget for bulk app installs, MicroWin to build a custom stripped Windows 11 ISO, restore points before every change, presets from Minimal to Desktop. Works on Windows 10 and 11. Fully local. Zero cloud. Zero telemetry sent home. Chris Titus is a YouTuber with hundreds of thousands of subscribers on his Windows and Linux channel. He open sourced WinUtil in April 2022 under MIT. He wrote 733 of the commits himself. Version 26.07.22 shipped yesterday. 147 people have contributed. 58,777 stars on GitHub. 3,411 forks. 44 releases. Microsoft can't shut this down. The MIT license does not permit that. The Fiverr sellers can't shut this down. They do not employ any of its maintainers. Microsoft built a tool to advertise to you. Fiverr built a marketplace to charge you to turn it off. Chris Titus built a tool that turns it off for free. (Link in the comments)

• 
  Kunal Dugar (@kunal_dugar) reported 32 minutes ago

  here we go again github is down

• 
  visavi (@exandernal) reported 35 minutes ago

  @alz_zyd_ @evanthetoon alot of people on github are running into the issue of AI submissions for code and its overwhelming the people who maintain these projects, its going to get to a point where public submissions simply arent allowed, so no this isnt good long term unless people reserve submissions

• 
  Vettan (@Vettan0) reported 35 minutes ago

  " this guy is a certified freak " he built a voice walkie-talkie for Claude and now conducts a wall of AI agents by talking into a two-button remote, never touching the keyboard once. the stack, both tools he made himself: Arrange -> window layout app. select your terminals, pick columns, choose the monitor, hit apply. everything snaps into place. he refuses to use tabs and won't explain why Dispatch -> the walkie-talkie. volume up cycles between agents, volume down records a voice command, and a terminal glows green the second an agent needs him the workflow is one man running a fleet. voice a fix to the website agent, flip, tell another to shut itself down, flip, correct a sidebar bug in a third. all parallel, all by voice he's dropping the whole kit on GitHub this month as Vibe Kit and asked people to hold him to the deadline The best guide for ai apps↓

• 
  Allan (@AllanatrixQ) reported 36 minutes ago

  @HPCDisrespecter I think it's more like I want a platform designed around agents my work is rapidly pushing things and moving fast but github is slow and unreliable asf

• 
  Anakin (@anakinHQ) reported 37 minutes ago

  IBM's quarterly results came in, and the stock dropped hard. The clues were sitting in public weeks earlier. In Wire's GitHub catalog, IBM's public repo commits had already cooled off. Cloud job posts were down too, and employee review sentiment had started slipping. None of this is secret data. It just gets missed when it is not being checked all day. Anakin Monitoring checks it every 15 minutes.

• 
  E*NK1 (iii) ⥀ 💹🧲 (@HelveticVault) reported 42 minutes ago

  GitHub just changed its bug bounty rules. Public bounties are down. Top researchers can now earn 30k+ through a new VIP track. And there is a catch: newcomers must prove their value with just 4 submissions or lose access. Why? Because AI-generated reports flooded the program with low-quality submissions. When the watchers become the noise, the platform tightens the gate. Signal is not a badge. It is the only thing that keeps a market of observers from collapsing into slop.

• 
  Punyapal Shah (@MrPunyapal) reported 44 minutes ago

  GitHub is down again?

• 
  zkFART 🌸 (@evansforbes) reported 46 minutes ago

  @ambimorph @zkDragon interesting hmm do you have any logs or further context? feel free to open an issue on github if that's easier the nodes I'm looking at running legacy unfortunately do not replicate the issue but I will keep digging per the OP, it seems you're running v1.0.2 correct? while we released v1.0.3, I don't expect to see the issue on either version.

• 
  Erik (@erikaarohans) reported 48 minutes ago

  @sambenjamin___ @mattpocockuk @github fix this. Nobody wants to cycle to issues and PRs with tab.

• 
  Bhavani Kalisetty (@b_kalisetty) reported 49 minutes ago

  is @github down? I'm unable to get past the auto-merge checks

• 
  Eduarda Ferreira (@edsocra) reported 49 minutes ago

  @ZachSDaniel1 @duborges Why? Whatever reasoning you’re using drove you to the exact opposite conclusion as us, so I’m genuinely curious. We build things with the idea that we will be an infinitely big company. Everything short of that is a bottleneck. Example of services we added in the past 24 hours: - In-house container registry, replacing GitHub container registry - Our own package service which replaces GitHub packages - build service: platform for arbitrary code execution and ci/cd - run service: preview and production deployment for containerized images - domain service: providing us and our customers ingress for domains into containers - sandbox: persistent cloud environments in which our agents can live. The theme for these services is to own our own means of production and distribution. 1 year ago, we would outsource these services. But now, it’s cheaper to build these ourselves than to outsource. Most importantly, because we align with pico-repo philosophy, each repo can have its own cloud environment, with its own cloud agent responsible for its development, and the production of each new service affects no upstream products or services. This is systemically the best way to guarantee we can scale the number of products and services to a very large number, while simultaneously reducing the marginal cost to produce each one. It favors bottom-up over top-down organizations, too, allowing individuals to have provenance and ownership of their slice of the pie.

• 
  Haydn Botts (@hxydnbuilds) reported 55 minutes ago

  Prompt: Act as an expert software engineer and UI developer. I need you to build a local, self-contained IDE application that visually and functionally mimics the 'Cursor' code editor, specifically integrating you (Grok) as the native AI assistant. This project is strictly for my own local device. Do not include any boilerplate for GitHub, open-source community guidelines, or remote repository management. Here are the strict technical requirements for this build: 1. Layout & UI (Cursor Clone): - Left Panel: A functional local file explorer tree. - Center Panel: A syntax-highlighting code editor with tabs for multiple open files. - Right Panel: A dedicated AI assistant chat interface natively utilizing my Supergrok capabilities. 2. Zero-Terminal Workflow: - The core feature of this IDE is that I must never have to manually open or type in a terminal. - Implement visual UI buttons (e.g., "Run", "Build", "Install Dependencies") that execute necessary background processes silently. - Surface any build logs or errors directly into the AI chat panel so you can immediately suggest and apply fixes without me touching a command line. 3. Local File System Integration: - The application must have complete read/write access to a designated local directory on my machine. - You must be able to read the context of my entire local project folder to accurately answer questions in the right panel. - When you generate code in the chat panel, include an "Apply to File" button that automatically writes your code changes directly to the correct local file in the center panel. Please provide the complete, step-by-step code and instructions to deploy this locally using a lightweight framework (such as Electron, Tauri, or a local web app). Focus entirely on making the local setup process as frictionless as possible.

• 
  James Andrew (@pixelrouter) reported 57 minutes ago

  @with_gene2626 @loktar00 And of course I should mention this is entirely vibe coded. Well, not exactly vibe. Everything is done through GitHub issues and PR’s, but I have not touched my keyboard once in this process, except to press the WisperFlow talk key. It’s absolutely incredible.

• 
  Nav Toor (@heynavtoor) reported 59 minutes ago

  A solo developer in Johannesburg named Dave Blakey built the open source version of CCleaner, the tool Wired reported hackers used to spread malware to millions. He gave it away for free. It is called Kudu. CCleaner was hacked in 2017. Hackers hid malware inside the official update. 2.27 million people downloaded the infected version. It was hacked again in 2019. It is still sold today under new ownership. CCleaner Professional costs $29.95 for the first year. It renews at $44.95 a year after that. The Premium Bundle is $64.95 a year and adds Kamo, a privacy tool with VPN protection. Kudu costs zero. On every OS. Forever. Under MIT. CCleaner scans your PC. CCleaner charges you. Kudu scans for you. Here is how it works. You download the installer. You open Kudu. You pick a scan. The app runs it and shows you exactly what it wants to delete before it touches anything. System Cleaner. Temp files, logs, caches, crash dumps. Browser Cleaner. Caches across all major browsers in one pass. App Cleaner. Leftover files after uninstalls. Gaming Cleaner. Game launcher and shader caches. Registry Cleaner. Broken and orphaned entries. Startup Manager. Boot impact analysis. Disk Analyzer. Interactive treemap of your drive. Debloater. Removes Windows bloatware. Malware Scanner. Signature matching, heuristic analysis, Windows Defender integration. Works on Windows, Mac, and Linux. Installer for each. No ads. No upsells. No telemetry. Every line of code is on GitHub. Dave lives in Johannesburg, South Africa. His GitHub is 15 years old. He opened the Kudu repo in March 2026. He wrote 349 of the 403 total commits himself. The other 54 are dependabot updates. Version 1.45.0 shipped two days ago. 75 releases in four months. 1,370 stars. 110 forks. CCleaner can't shut this down. The MIT license does not permit that. Gen Digital, the $15 billion company that owns CCleaner, can't shut this down. They employ zero of its maintainers. CCleaner shipped malware to 2.27 million people. Gen Digital sells the same tool by subscription today. Dave Blakey built one that does the same job for free. (Link in the comments)