GitHub Outage Map
The map below depicts the most recent cities worldwide where GitHub users have reported problems and outages. If you are having an issue with GitHub, make sure to submit a report below
The heatmap above shows where the most recent user-submitted and social media reports are geographically clustered. The density of these reports is depicted by the color scale as shown below.
GitHub users affected:
GitHub is a company that provides hosting for software development and version control using Git. It offers the distributed version control and source code management functionality of Git, plus its own features.
Most Affected Locations
Outage reports and issues in the past 15 days originated from:
| Location | Reports |
|---|---|
| Créteil, Île-de-France | 1 |
| Trichūr, KL | 1 |
| Brasília, DF | 2 |
| Lyon, Auvergne-Rhône-Alpes | 1 |
| Tel Aviv, Tel Aviv | 1 |
| Rive-de-Gier, Auvergne-Rhône-Alpes | 1 |
| Itapema, SC | 1 |
| Cleveland, TN | 1 |
| Tlalpan, CDMX | 1 |
| Quilmes, BA | 1 |
| Bengaluru, KA | 1 |
| Yokohama, Kanagawa | 1 |
| Gustavo Adolfo Madero, CDMX | 1 |
| Nice, Provence-Alpes-Côte d'Azur | 1 |
| Montataire, Hauts-de-France | 3 |
| Colima, COL | 1 |
| Poblete, Castille-La Mancha | 1 |
| Ronda, Andalusia | 1 |
| Hernani, Basque Country | 1 |
| Tortosa, Catalonia | 1 |
| Culiacán, SIN | 1 |
| Haarlem, nh | 1 |
| Villemomble, Île-de-France | 1 |
| Bordeaux, Nouvelle-Aquitaine | 1 |
Community Discussion
Tips? Frustrations? Share them here. Useful comments include a description of the problem, city and postal code.
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GitHub Issues Reports
Latest outage, problems and issue reports in social media:
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Daniel Vassallo (@dvassallo) reported@GustavoValverde @levelsio Judging by the number of openclaw github issues, it seems not easy to solve.
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Stefanescu Liviu (@liviusa) reported@swyx @TomasReimers @cursor_ai What's wrong with ***? Maybe github has some availability problems, true, but *** is fine, need to see what's different and better
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WorkOS (@WorkOS) reportedAI-assisted code leaks secrets at 2x the base rate. GitGuardian found 24,000 exposed secrets in MCP config files on GitHub. The fix isn't better hygiene, it's credentials designed for how agents actually operate. Link👇
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RaIsa (@raisa394) reported2032 startup prediction: Proof of Becoming. Today, blockchains record what you own. LinkedIn records what you claim. Universities record what you learned. None of them record who you are becoming. That gap is about to become a trillion-dollar problem. As AI agents become better than humans at generating content, resumes, portfolios, certificates, and even entire online identities, trust in static credentials will collapse. A degree can be faked. A portfolio can be generated. A reputation score can be manipulated. But sustained personal growth is much harder to counterfeit. My startup idea: A decentralized protocol that creates a cryptographic record of human development. Instead of proving what you have, you prove how you evolved. Every learning milestone, skill acquisition, project completion, contribution, mentorship session, research breakthrough, fitness achievement, or creative work becomes a verified "Growth Block." AI agents analyze evidence across platforms. Intelligent contracts verify consistency. The protocol builds a living graph of personal progression over time. Think of it as GitHub commits for human potential. Why does this matter? Because the next generation of hiring, lending, investing, education, and online communities will need a better signal than followers, credentials, or social status. Imagine two founders raising capital. Founder A has a polished AI-generated profile. Founder B has a five-year on-chain record showing increasing technical skill, successful projects, community contributions, and measurable execution. Which signal would you trust? The real opportunity is not proving identity. It is proving trajectory. Trajectory predicts future value better than current status. Applications: • Recruiting based on growth velocity instead of resumes. • Education systems rewarding progress instead of test scores. • Credit systems evaluating reliability instead of historical wealth. • DAOs selecting contributors based on demonstrated evolution. • AI agents finding collaborators whose growth patterns match project needs. The protocol becomes a global infrastructure layer for reputation that cannot be bought, rented, or instantly fabricated. In a world flooded with artificial content, the scarcest asset will be authentic evidence of becoming. We built systems for storing money. We built systems for storing information. The next major protocol category may be storing human progress itself. That is the startup I would build. What would your "Proof of Becoming" graph reveal about your last five years? @RallyOnChain
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rufuspollock 🌄 (@rufuspollock) reportedOne GitHub feature I keep wanting: #123-style references for files. Want to type [[ and get autocomplete for files Issues, PRs and users all get autocomplete, linking and inline previews. Files are often just as important, yet I'm still copying paths or URLs around.
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DeFi Scholar 🎓🎓 (@ModestusOkoye) reportedI don't have a problem with @arxoninfra or its founder, Okunnuwa Ademibo Owoseini (@GabeXmeta). However, there are several things that look concerning and are worth noting before engaging in the ambassador program: 1. Severe Lack of Transparency & Technical Substance (Biggest Concern) • No whitepaper, technical documentation, GitHub repository, or detailed technical specifications. • No blockchain explorer, testnet/mainnet information, or verifiable proof of a live network. • No publicly available security audits, which are standard for serious L1 projects. • The website is extremely minimal, consisting largely of marketing claims and an ambassador signup page. • No visible team page, roadmap, or detailed project documentation. For a project positioning itself as a sovereign Layer 1, this level of opacity is highly unusual. Legitimate blockchain projects typically publish extensive technical resources long before scaling community programs. 2. Pre-TGE Farming & Points System Risks • The current model revolves around mining points rather than earning actual tokens. • Community members have already begun questioning why users are farming points instead of receiving the asset itself. • The points currently have no intrinsic value and rely entirely on future promises around TGE. • This structure can create a situation where users spend time and attention farming an asset that may ultimately fail to deliver meaningful value. 3. Hype appears to exceed verifiable delivery • Marketing activity on X is extensive, with ambassadors, miners, and strong privacy-focused narratives. • Claims around remittances, government-grade voting systems, and large-scale privacy infrastructure are ambitious. • However, there is little publicly available evidence, technical documentation, or partnerships supporting these claims. • Despite language suggesting an active network, most visible activity appears centered around a points-based mobile app rather than a publicly verifiable blockchain. As always, do your own research.
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Void Freud (@voidfreud) reported@markvalorian This completely resonates with my opinion, multiple tickets submitted on Github from Claude Code and a letter with formal complaint I just sent to Anthropic. This degradation isn't mild: a query takes over 5-10 minutes in Claude Code on any effort, up to 20 min on Max. Opus 4.8 feels like Haiku in terms of reasoning capabilities. Opus forgets what it is and what it was just saying a sentence ago. All rules are ignored completely. They do it by tuning down master effort. So that your current `Max` is actually an equivalent of `Low` of the last week (and I find it's even worse, by far). Apple's tricks. Except Anthropic also has severe inference issues (remember Fable until 22 only?), so they tuned down everything to free compute for Fable and now they are stuck: they hope to get it back, so they wait. Apparently restorig things to work like they were requires unloading Fable. As of right now and the past 3 days Claude Code is unusable completely and entirely.
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Suraj Sharma (@suraj_sharma14) reportedIf I had to build 5 projects to get hired as an Agentic AI Engineer. I'd do this. Project 1: Compliance Sentinel Agent Scans new regulations daily. Auto-audits code. Generates audit-ready reports. Saves legal teams 40+ hours/week. Stack: LangGraph + Playwright + Legal RAG Project 2: Autonomous Code Reviewer 4 agents debate every PR: Security, Style, Tests, Architecture. Cuts review time by 70%. Stack: GitHub Actions + Tree-sitter + LLM-as-a-judge Project 3: Research-to-Deck Generator Reads 50+ papers. Synthesizes key points. Exports editable PPT with citations. Turns 3 days of work into 5 minutes. Stack: Semantic Scholar API + python-pptx + RAG Project 4: Recruiting Swarm Parses resumes. Scores fit. Drafts outreach. Books interviews. Increases interview show-up rates by 40%. Stack: NER models + Vector search + SendGrid + Calendar API Project 5: Cost-Aware Agent Router Token budgeting. Model routing by cost/latency. Early exit on confidence. Reduces inference costs by 60%. Stack: vLLM + Prometheus + Dynamic model switching Most people build chatbots. Builders build systems that solve expensive problems. (Bookmark & Repost)
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Will (@Willexeyy) reported@0xkozue i check if the problem resonates with real users and solves pain points. shipping prototypes and gathering feedback help me adjust quickly. on github i release minimal features to test interest. how do you decide if you're on the right track?
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migtronix (@migtronix) reported@rohit_jsfreaky @ibuildthecloud It's literally just: *** add remote origin2 xxx *** push - - set-upstream origin2 If you don't want to integrate with github I don't the issue here
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Ashish Sharma (@_ashish_ts) reported@ThePrimeagen GitHub is down to earth 🌎
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Rohit (@rohit4verse) reportedIn 2026, harness engineering is the difference between an agent that ships and one that burns tokens. If you want to learn it, someone just dropped the one-stop resource on GitHub, free. 12 lectures, 6 projects, 14 languages, 8k+ stars. Inside: - 12 lectures, each on one hard question: why strong models still fail, why agents call "done" too early. - 6 projects where you build a real Electron app, your harness getting sharper with each one. - Copy-ready templates (AGENTS.md, feature_list.json, init[.]sh) you drop into your own repo today. - A harness-creator skill that scaffolds a production harness in minutes. It even opens with Anthropic's experiment: the same model going from a broken build to one that ships, on harness changes alone. Codez wrote the 14-step map. This repo is the course underneath it.
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Wes Eklund (@WesEklund) reported@ibuildthecloud @ibuildthecloud alright I added at least my 'make all-ci-steps' command as a pre *** push CC hook. Already caught 2 instance of failing lint issues before it hit github ci TYVM for the idea :)
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Luis Bezzenberger (@bezzenberger) reportedhas anyone gotten Kimi K2.6 on dual mac studio 512gb via @exolabs to work with an agentic harness? if so, would love to chat. it works for chat, but stops after just 1 response when put into an agentic harness like opencode, vscode. many people have similar issues on github
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Jeremy Nguyen ✍🏼 🚢 (@JeremyNguyenPhD) reported@ErenChenAI GitHub link seems to be down