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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.
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.
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Most Reported Problems
The following are the most recent problems reported by GitHub users through our website.
- Website Down (65%)
- Sign in (18%)
- Errors (18%)
Live Outage Map
The most recent GitHub outage reports came from the following cities:
| City | Problem Type | Report Time |
|---|---|---|
 Itapema
|
Website Down | 5 days ago |
 Tlalpan
|
Sign in | 11 days ago |
 Quilmes
|
Website Down | 11 days ago |
 Bengaluru
|
Website Down | 13 days ago |
 Yokohama
|
Sign in | 14 days ago |
|
Gustavo Adolfo Madero
|
Website Down | 17 days ago |
Full Outage Map
Community Discussion
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GitHub Issues Reports
Latest outage, problems and issue reports in social media:
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Anshuman Khanna (@AnshumanKhanna5) reported@ChShersh GitHub heatmap is the biggest lie for productivity I see people putting it on their profile and immediately lose interest My first thought always is, if all your problems are small enough that you solve them in one day and push, you aren't solving real problems
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Adnan Khan (@adnanthekhan) reportedTbh this is why I think TeamPCP’s GitHub source code theft is so damaging from a business perspective. Yes, GitHub enterprise server has most of the same ruby src and you can de-obfuscate it. But if TeamPCP stole tests too? Someone can clone the product.
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Maheer (@UsamahMaheer) reportedDay 7 of 100: Connected my Python app to the real world using HTTP requests! But the biggest win today? Security. Learned how to lock down my API keys using python-dotenv and .env files to keep secrets off GitHub. Never hardcoding credentials again! #100DaysOfCode
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Bishwaraj Dey (@bishwa_codes) reportedThere are two broad ways to give an AI coding assistant context. Index first, retrieve later. Or search on demand, every time. Several tools chose the first. Claude Code picked the second. Here is why that choice matters. Cursor and GitHub Copilot both use semantic code search. They build indexes, compute embeddings, and use those indexes to retrieve relevant code when the model needs context. Semantic search can work even when you do not know the exact symbol name. “Where does auth validation happen?” is not always a grep-friendly question. Claude Code started the same way. Early versions had RAG with a local vector DB. The team tested it against agentic search .. and agentic search won "by a lot." Because code is fundamentally precise. "createD1HttpClient" either exists in a file or it does not. There is no fuzzy match needed. So Claude Code avoids a whole operational layer, that includes embedding jobs, vector stores, sync logic, index permissions, and questions about where the index lives. Instead, it uses grep, glob, and live file reads on demand. No whole-repo indexing. No persistent cloud vector DB. It reads only the files it needs. There are real privacy wins here too. RAG tools send all the embeddings to the cloud. And research has shown that embeddings can be partially inverted to recover the original text. So RAG approach is somewhat unsafe. However, agentic search is not free. It can burn more tokens and take more steps, especially on large codebases or vague prompts. Search for a broad term in a large React repo and the agent may need to search, inspect, narrow, and search again. Most teams treat RAG as a default. Claude Code treated it as a hypothesis, tested it, and moved on. And honestly .. a lot of RAG-based solutions would be better off without it. Especially when you find yourself restructuring your documents just to make retrieval work. At that point, you are not solving the problem. You are bending the problem to fit the tool.
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lagerskoy (@lagerskoy) reportedA SINGLE GITHUB REPO JUST COLLAPSED THE “AI SOUNDS LIKE AI” PROBLEM. Most AI text fails for one reason: it’s too perfect. Too structured. Too clean. Too predictable. Humanizer fixes that layer automatically. Sentence variation. Natural pacing. Human rhythm. Small imperfections that make text feel real instead of generated. The math nobody is doing. A solo creator with Claude + Humanizer can now produce content at the scale of an agency without spending hours rewriting AI drafts manually. The editing layer just got compressed into seconds. And that changes everything for SEO, newsletters, scripts, ghostwriting, and content farms. The moat is not writing anymore. It’s taste. Distribution. Knowing what humans emotionally react to before everyone else copies the workflow. Open the repo. Run one prompt. Then realize half the internet in 2026 will be AI-generated but impossible to confidently detect.
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Israely (@0xIsraely) reportedyo bro been trying to setup mine but still encountering issues I have a student github pack but to fill in the form to connect github and bank details charges me $12 how can I go around it pls
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Docsbook.io (@docsbook) reported@anulum sc-neurocore is one of those rare projects where the idea and execution both land. Problem is the docs are buried in GitHub — people bounce before they even understand what it does. Built a hosted docs site so the first impression actually sticks. Go take a look.
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Tech Friend AJ (@techfrenAJ) reportedCodex cloud has sucked for a while compared to Claude cloud Terrible GitHub integration. No model picker? Why
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49 Agents IDE - IDE for Agentic Coding (@49agents) reported@bettercallsalva @TopStockAlerts1 distribution doesnt save slow shipping is the thesis here. copilot had the entire github ecosystem and still got out iterated by cursor on workflow ux. same thing happened with teams vs slack..microsoft owned the network but couldn't out-execute
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Marc Campbell (@marccampbell) reportedwhich makes more sense in a software factory that's triggered by github issues: adding a label to identify that you want to agent to work on it -or- assigning the issue to a bot user to start the process?
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Docsbook.io (@docsbook) reported@Suman_N_Jain binary is one of those rare projects where the idea and execution both land. Problem is the docs are buried in GitHub — people bounce before they even understand what it does. Built a hosted docs site so the first impression actually sticks. Go take a look.
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38twelveDaily (@38twelveDaily) reportedArmin Ronacher on the plague of AI-rewritten GitHub issues: people are filing bugs they didn't write, in voices that aren't theirs, full of confident guesses about root causes that are often just wrong.
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softmotherfucker (@softmotherfuker) reported@ThePrimeagen I'm sure you know about this but I'm calling it the "initial commit" The first time you commit something it's purely green in GitHub, and people in pull requests barely are looking at ****. As long as it's not obviously wrong they will accept it. The problem is, when you deploy that initial commit and it is proven to work...now you have a "stable" that contains massive inertia AGAINST changing it. So whatever you spent on in that initial commit is going to be what it is, until absolutely proven it needs to be fixed.
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Brad Larson (@followbl) reported@mitsuhiko @badlogicgames I wonder if there's a skill the user would have to go through to submit an issue, think a modern/AI version of a strict GitHub issue template It'd be obvious if the user didn't go through this and instead would give you actual insight in to the issue they are seeing/feeling think /grill-me for issues before submitting
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prince (@prince_twets) reportedJust found ai-engineering-from-scratch on GitHub Trending. What grabbed me is the structure: 435 lessons across 20 phases, and every lesson ships a prompt, skill, agent, or MCP server. Feels more build-the-muscle than consume-the-course.
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Peo (@Peo_ie) reported@FL3SH34TER there's a fork of Citra called Citra MMJ, it lags less and should have less of these graphical errors (depends on the game) Just search "Citra MMJ" and find the github page if you want to try it
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Russell Research (@Russell_Researc) reported$MSFT is winding down many internal Claude licenses and telling engineers to move to GitHub Copilot. Even $MSFT is trying to manage the cost of third-party AI tools. AI software prices rose between 20% and 37% in the last quarter
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Docsbook.io (@docsbook) reported@brenzhills IA is one of those rare projects where the idea and execution both land. Problem is the docs are buried in GitHub — people bounce before they even understand what it does. Built a hosted docs site so the first impression actually sticks. Go take a look.
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Sean Davis (@SeanChDavis) reported@ajaydsouza Also, it isn't a real roadmap, like what you would have as GitHub issues. It's more of a to-do list of things it knows I want to do, but just hadn't done yet. That's probably the key to the behavior right there.
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Hiren Patel (@KalariyaHiren1) reportedWe had a real security incident on a client server. Suspicious script injected via GitHub PR 🥲 Designed to run automatically after install. Instead of spending hours investigating manually, we opened @ctrlops_ai Terminal and described the situation. It investigated the server step by step. Every command shown before running. Nothing blind. Got a full incident report in 10 minutes 🔐 #DevOps #ServerSecurity #CtrlOps
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🌚 YogSotho 🌝 (@YogSoth0) reported@kvmqemu @cyb3rops @Microsoft Yep as soon as I fixed some stuff on my server. Will put them online. Shai-Hulud source included. And some other **** that got taken down from Github.
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Docsbook.io (@docsbook) reported@kos_svat mnemonic is one of those rare projects where the idea and execution both land. Problem is the docs are buried in GitHub — people bounce before they even understand what it does. Built a hosted docs site so the first impression actually sticks. Go take a look.
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Stephen Connolly (@connolly_s) reportedAnyone having issues pushing to @github right now. @githubstatus says OK but spider senses suggest another outage
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davidsong (@bitplane) reported@theo @zygisSS22 I think there's a bit of work needed in test/oracle generation before going full agent-TDD can be a thing. But we're not far off. I've been writing a POSIX GitHub pages alternative in pure awk, just for the hell of it, and caught codex hard coding date strings that pass the Liquid test suite. Those sorts of risks are buried in thousands of lines of code I didn't even read, so more agents seems to be the only way to surface this. Feels like it's gonna be turtles all the way down.
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:) (@Eimen_Nur) reported@ThePrimeagen Github has had an issue the past 6 months…. We need something better
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Vinay Mahadik (@vinayxmahadik) reported@grok @DavidSacks @grok - GitHub commits are not the right signal. If AI is writing a lot of the code, code volume will obviously go up even if human engineering demand goes down. Job postings alone have the same problem. They will also go up during a disruption, because companies are cutting legacy-style roles while hiring AI-native engineers or rebuilding teams for the new model. But layoffs don’t show up as “negative job posts.” So unless we compare apples to apples — software engineering jobs created vs. software engineering jobs eliminated — this is an invalid comparison. A lot of top-down commentary points to “more code” and “more postings.” But from the trenches, many founders are seeing the opposite: smaller teams, fewer roles, and much higher leverage per engineer.
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ChimeraDefi.eth - muShanghai (@ChimeraDefi) reported@steipete I realized yesterday while I was trying minimax on openclaw it leaked my telegram bot id to GitHub a couple months ago. Openclaw channel got taken over lol reset the whole server out of an abundance of caution.
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Docsbook.io (@docsbook) reported@RecursiveIntell Gloss is one of those rare projects where the idea and execution both land. Problem is the docs are buried in GitHub — people bounce before they even understand what it does. Built a hosted docs site so the first impression actually sticks. Go take a look.
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Thiago Salvador (@bettercallsalva) reported@TopStockAlerts1 github ownership without product velocity is the cautionary tale here. copilot was first but the iteration speed of cursor and claude code on workflow ux ran them over. distribution doesn't save a product that ships slow.
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Yotam Blumenkranz (@YotamBlu) reported@drummatick @Microsoft github has the signal but they're moving slow. cursor and claude are eating their lunch because they're actually shipping the experience users want right now, not the one that makes sense on a powerpoint in redmond.