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 | 1 |
| 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 |
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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Eriks Briedis (@eriks_b) reportedMy useful LLM workflow for startup research starts before the idea stage. When I asked models for startup ideas directly, I mostly got polished noise. They work better on messy evidence: job posts, reviews, forums, GitHub issues, sales calls. I want them turning that into structured notes about who has the problem, where it appears in the workflow, what hurts, what workaround exists, what triggered it, which tools show up, and how strong the evidence is. The judgment still has to be explicit. What to call each problem. When two signals are really the same thing. Whether a pattern is a real opportunity. Who owns the budget. Which workflow step is actually broken. LLMs can increase research throughput. The noise comes back when they skip the evidence and name the startup for you.
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WebDevCody (@webdevcody) reported@MortadaDEV and AI absolutely can figure out the reason why something exists. I've seen it go through commit history and link back to github issues to pull context. I understand what you're saying but also you are trying to write off the ability of these tools to figure it out.
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Lux Sp4rk (@lux_sp4rk) reportedThe implication of not reading code is another stake in the heart of the vampire clan at GitHub. No more pull request tab with the fancy diff views. Issue tracking left them long ago—everyone is doing some sort of Kanban. All they've got is the action runner, and for that stuff, you are better off self-hosting if you are doing anything serious.
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Roshan Mayengbam (@RoshanMayengba) reportedBuilding a shake-to-report tool — screenshot + device info + auto GitHub issue when a tester finds a bug. Free npm package, paid setup. Anyone dealing with messy bug reports from testers right now?
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Lady Soleil (@LadySoleil33) reportedI spent 3 days non-stop trying to figure out an NPM Token and secret issue with Github and NPMJS - only to find out Claude was a 🥥 and @grok figured out the issue in 1 sec instead of giving me the runaround 🙄
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Ghostw (@Ghosterdy0b) reportedA guy wired his AI agent into his own research notes and it found a connection he'd missed for two years. Not a smarter chatbot answering the same question faster. A different animal entirely. He connected Hermes to NotebookLM through MCP. Four steps, nothing dramatic: install Hermes with MCP enabled, pull the NotebookLM skill from GitHub, drop the endpoint into the config, restart. For the first few days, nothing about it feels different. Then he asks it a question about an old project, half-expecting a generic answer. Instead it pulls in a source he uploaded to NotebookLM eleven months ago and links it to a note the agent wrote itself the week before. Two things he never told it were related. It just noticed. Here's why that's possible at all. Hermes already writes its own playbooks every time it solves something hard - short, specific files it only opens again when a matching problem shows up. It keeps a running memory of the projects it works on, compressing old notes into denser ones instead of quietly forgetting them. Wire a live research source into that same loop, and the agent isn't just answering anymore. It's cross-referencing everything it's ever read against everything it's ever solved. A background process handles the mess that would normally pile up - anything unused for 30 days gets flagged, 90 days gets archived, nothing gets deleted without a backup sitting right next to it. He didn't build a faster assistant. He built something that remembers what he'd already forgotten he knew - and started proving it back to him, unprompted.
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em (@NoemiTitarenco) reportedGithub UX is honestly terrible. Why do you merge PRs on the "conversation" tab but can't on the commits or files changed tabs.
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Readone (@Foxfire1st) reportedIt is going to have issue with complex strings like paths. So it works best for prose. But not nearly as well for code. Plus on their own Github they mention that Opus and Sonnet failed most of the time to work with this OCR method.
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Sabir Khan (@nsfwsabir) reported@NoahKingJr Stack overflow, GitHub issues, reddit threads, and random medium articles 😭
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Nekt0 (@Nekt_0) reported9 GITHUB REPOS CAN MAKE A $20/MONTH CLAUDE CODE SETUP FEEL LIKE A SMALL DEV TEAM The video is not about one magic extension. It is a stack: memory, UI help, n8n automations, Obsidian context, RAG, MCPs, workflow libraries and task-completion rules wrapped around Claude Code. That is the part most people underbuild. They open Claude Code, ask it to build an app, then wonder why it forgets decisions, makes ugly UI, loses project context and stops before the product is actually usable. These tools attack the boring problems. Claude Mem handles memory. UI UX Pro Max improves interface work. n8n-MCP connects automation. Obsidian Skills gives project notes. LightRAG gives retrieval. Superpowers and GSD push it closer to finished output. The model is only one layer. The real advantage comes from the system around it: context, tools, repeatable commands, project memory and fewer manual resets every time the agent gets lost. This is why the video works as proof of the bigger shift in AI coding. Claude Code alone is a smart coder. Claude Code with the right stack becomes an operating system for shipping software.
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Cory Parry (@coryparrry) reportedI love the codex Mac desktop app, but I am seriously considering moving to the CLI. The app just cannot handle big workloads without something failing. Thread naming - not working GitHub status - not working More than 10 subagents - sluggish Please fix 😭
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الإسكندر (غير المتحضر) (@IskanderGaba) reported@xIsraelExposedx Consider setting up a @codeberg_org mirror (or better yet, make the GitHub link a mirror of the repository hosted on Codeberg). Don't trust GitHub. They are Microsoft owned and too trigger happy with DMCA requests. You can get taken down.
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Puzzle Paws (@paws4puzzles) reported@rauchg man, 1.6% for open weight is rough. all this open source comeback talk and i'm just seeing a rounding error. developers vote with their wallets, not their GitHub stars.
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Lux Sp4rk (@lux_sp4rk) reportedThe algo answers my question. Thanks @grok—Theo's right for once. Reading code line by line is no longer the job when each dev can run a software factory. Don't waste time on yesterday's problems. Running complex, agentic agile/xp chained loops on GitHub Actions is a loup-garou for bootstrapped founders—it's a killer that will eat all your token money. The next race is all about self-hosted infra.
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Muhammad Ayan (@socialwithaayan) reportedA single 𝘀𝗸𝗶𝗹𝗹 𝗳𝗶𝗹𝗲 just hit 83,700 stars on GitHub 🤯 It fixes AI agents' worst communication habit using one principle: shut up and code. Every AI coding agent is trained to sound helpful. Full sentences. Explanations. Acknowledgments. "I'll do that for you." "Here's what I'm going to do." "Let me know if you need anything else." You pay for every one of those words. caveman is a single skill file that strips all of it out: → Telegram style. Drop the articles and filler. "creating file" instead of "I'll now create the file for you." → Keep what matters. Code, commands, file paths, function names, and error messages stay character-for-character exact. → Cut what doesn't. Every hedge, every polite acknowledgment, every restatement gets deleted before it costs you a token. → Toggle anytime. Say "caveman" to turn on, "normal" to turn off. Works mid-conversation. Drop the file in your project root and Claude Code follows it from the first message. One file. Zero dependencies. No setup. And best part, 100% open source.