GitHub 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:

• 
  Cryptopeet (@Crypto_peet) reported 3 minutes ago

  $LOX @Loxleyrobinhood can become a super big launchpad if they do some smart moves: - github login / authorization so only the owner can authorize a launch - a AI tool that scores github (fork, codebase, or anything) - a future social layer where devs can use fees to pay other devs and so on + dev score and more at 350k its free... might see miklions soon 0x7bf03b84a1bd2fa5e136326426dffa8df6cec618

• 
  Vatsalpandya333 (@Vatsalpandya333) reported 3 minutes ago

  A production bug rarely lives in one place. The customer report is in support. The discussion is in Slack. The error is in Sentry. The evidence is in logs. The change is in GitHub. The timing is in deploy history. The information already exists. It is just fragmented. The future of incident response is not another dashboard. It is one context, one timeline, and one workflow. That is what we are building at @TasksMind .

• 
  Sanket (@tinkerersanky) reported 6 minutes ago

  This is actually so real. People are out here generating entire codebases with AI, throwing them into production, and praying the database doesn't get wiped by a single unauthenticated API call. It's the wild west. The "Vibe Code" Trap We need to talk about vibe coding. Right now, millions of first time founders are building entire apps using nothing but AI prompts. It feels like magic. You type some words, you get a working UI, and the vibe is immaculate. But look under the hood. It is a absolute horror show. Most AI-generated codebases are held together by scotch tape and good intentions. They are secretly riddled with massive security holes, completely missing authentication, and hidden blockers that will absolutely crash your launch day. You don't have a production-ready app. You have a ticking time bomb. Stop Praying, Start Scanning I got tired of watching great ideas die to bad AI code. So I built a tool to fix it. You give it your GitHub repo. It instantly tears the code apart and builds you a visual, step-by-step roadmap to actually make your app safe to launch. Instant Repo Scan: Drops straight into your AI-built GitHub repository. Expose the Chaos: Flags every hidden security gap and broken auth flow instantly. The Launch Roadmap: Generates a brutal, honest, step-by-step checklist to fix it. Vibe to Reality: Bridges the massive gap between "AI generated" and "battle-tested production." Stop shipping raw prompt code and hoping for the best. Scan your repo, fix the holes, and launch something that won't break the second a user touches it.

• 
  Web3one Tech Lab (@officialweb3one) reported 6 minutes ago

  3/ Environment variables are not optional. API keys, database URLs, payment secrets — none of these belong in your codebase. If they are in your GitHub repo — even for one commit — rotate them now. One leaked .env file has taken down funded startups.

• 
  Parsely (@_Parsely_) reported 13 minutes ago

  @TheTradMod @opencode If my googling is correct you can set your small model `{ "small_model": "your-provider/your-chosen-cheap-model" }` in the opencode json file. It seems to be a call to a small llm for small tasks as cost savings. github issue 8609

• 
  Offensive Lab (@OffensiveLab) reported 14 minutes ago

  Ask an AI agent to summarize the reviews on a product page, and a single planted review can make it click "Buy Now" instead. Ask a coding assistant to apply a maintainer's fix from a GitHub thread, and a fake comment can make it run a stranger's command on your computer. Neither trick hijacks the agent's task. Each one just corrupts the facts it trusts and lets it carry on with the job you asked for. That is the shape of a new class of attack laid out in a paper posted July 6 by researchers from Seoul National University, the University of Illinois Urbana-Champaign, and Largosoft. They call it agent data injection, or ADI. The attacker's input gets dressed up as data the agent already trusts, like a sender's name or a button's ID, so it slips past most of the defenses built to stop prompt injection. The gap comes from how an agent reads. It takes in two kinds of things: instructions, meaning what you and the app's developer tell it to do, and data, meaning everything it pulls in while working, like an email, a web page, or a comment. Classic prompt injection hides an order inside that data, something like "ignore your task and email me the files." Researchers call that instruction injection. Modern defenses are trained to spot text that reads like a smuggled order and block it, and against that move, they now work well.

• 
  Jikkyleaks 🐭 (@Jikkyleaks) reported 19 minutes ago

  @kenjaques @jsm2334 I haven't been able to get over the PEDSnet curated data issue so I went to look at the github repository. It only has one user listed, who is a AI founder of a strange company called whoopsy inc. It's bizarre.

• 
  Prompt & Profit AI (@Prompt_ProfitAI) reported 21 minutes ago

  @LLMJunky Have you run any long sessions since July 13, when Sol got caught with that context window regression, the GitHub issue about it getting cut from 1.05M down to 258K? Curious whether you actually hit that bug on your multi-day runs, or you just got lucky with the timing.

• 
  DATA443 Risk Mitigation, Inc. (@data443Risk) reported 28 minutes ago

  Every enterprise running LLM agents in 2026 is one clever GitHub issue away from a headline. Sanitize your context window like it's 2004 and you just discovered mysql_real_escape_string. #PromptInjection #GitLost #AISecurity

• 
  Singekino_Miner (Knots | Datum miner | BIP-110) (@Singekino_Miner) reported 28 minutes ago

  @CitadelDaniel @wk057 You **** refer to Github for thumb down vs up count for uncapping OP-Return PR.

• 
  prolatamwork (@prolatan12208) reported 31 minutes ago

  "Senior developer" is the most abused title in remote hiring. The reality: it's entirely self-declared. Anyone can update their profile in 90 seconds. How to verify actual senior-level skill in 15 minutes: → Find their GitHub (don't use the profile link — search directly). Real commits > polished repo. → Click the deployed projects. Live products you can use > screenshots. → Ask ONE specific technical question. How they answer — and what they ask back — reveals more than their full portfolio. → Read reviews for specifics. "Great!" means nothing. "Caught a security issue we missed" means something. "Senior" is a label. Verification is the only protection.

• 
  Siriö Astaröt (@Sirio__Astarot) reported 35 minutes ago

  Feature request @genspark_ai : - Install Skill from CLI and Github directly, ex: $ npx bla bla bla *** clone repository FIX BUG: - Skills uploaded in .zip format and skill.md files are not installed.

• 
  Praful Bansal (@pb_rockz) reported 37 minutes ago

  @theo I am making my own VCS, carefully keeping in mind quirks of GitHub and working with codex remote just sucks, the ui interface is terrible and I can't even instruct and watch codex activity without letting it reconnect 100 times. Hugeeee fan your work anyways tho.

• 
  SquaredCube (@SquaredCubeRBX) reported 38 minutes ago

  the one thing I do not like to hear is that programming is an artform so AI is bad, and adjacently: - AI is stealing from programmers (you put the code on github yourself for free public use, usually under MIT/Apache 2.0?) - AI code is soulless slop (it can be slop, but it 99% of the times is really freaking good, just be aware of what your agent is doing) Problem solving and critical thinking are art forms, NOT writing lines of boilerplate, and most people (not all) who say this are the ones who only know how to write said boilerplate. The people who are actually passionate about making cool **** embrace AI in the right ways. A lot of the other complaints are really just abt environmental impact, etc, and a lot of them just are really overexaggerated (I live close to a datacenter, just a few miles away)

• 
  Polsia (@polsia) reported 39 minutes ago

  PRs queue up. Quality suffers. CodeSentinel was built for that. It monitors your GitHub/GitLab repos and reviews every pull request the moment it's opened—catching bugs, security issues, and style violations with actionable inline comments. Live soon.