GitHub Outage Map

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GitHub Issues Reports

Latest outage, problems and issue reports in social media:

• 
  zencoderai (@zencoderai) reported 36 seconds ago

  Zenflow reads straight from a Jira, Linear, or GitHub issue, pulls the relevant parts of your repo, and writes a plan before it touches code. The ticket is the prompt. Half the "prompt engineering" problem disappears when the agent reads the same ticket your team already wrote.

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  Jon (@jonschxyz) reported 4 minutes ago

  @cursor needs to fix their iOS remote agent bs branch detection. Not everyone is using GitHub and that shouldn’t be required. Just let me connect to the agent, I can instruct it what repo/source control to use from there, that should be on me to setup.

• 
  another anon (@eugenioclrc) reported 5 minutes ago

  @Kritt_AI @_blockian @ControlZ_1337 GitHub not working 👉👈🙏🙏

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  Lorenzo (@gabor_rar) reported 7 minutes ago

  Your AI feature can be “working” and still have an authorization bug. GitHub just added a CodeQL query for a specific version of this problem: untrusted user input reaching a model’s system prompt in JavaScript or TypeScript. That changes the review question I want to ask in a micro-SaaS. Not: “Will the model follow the prompt?” Ask: Where did this text come from? Can it reach privileged instructions? Which tools or actions become reachable? What negative test proves the boundary? A customer brief, uploaded file, or support message should be useful input. It should never be able to quietly become policy. The goal is not a model that never gets confused. It is code that refuses to let untrusted text upgrade its authority.

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  m-sea Z (@z_sea37416) reported 10 minutes ago

  I spent months building AI workflows. More agents. More tools. More automation. More orchestration. Then I found the real problem: AI doesn't fail because it can't execute. It fails because it doesn't know what "done" actually means. So I built LoopLoopLoop. An open-source Autonomous Goal Completion Engine. You give AI a goal. It defines success. Builds a path. Executes. Checks reality. Improves. Until the goal is actually achieved. Not another AI assistant. Not another agent swarm. A system designed around one question: "Is the goal truly complete?" GitHub ↓

• 
  Brandon Music (@BrandonMusicKy) reported 11 minutes ago

  @Sentdex *nb: it's not my github, it's run by the mods of the discord server, that contains some SOTA stuff for sm12x.

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  🇺🇸 Santore (@santoretech) reported 13 minutes ago

  Your company doesn't need another AI tool. It needs an operating system and you already have one.. it's @github. Tasks? Issues and Projects. Related to code? What isn't, in 2026. Strategy, playbooks, decisions. If it isn't versioned, your agents work from stale context. Skills and prompts? Same place. Writing voice, review checklists, compliance guardrails. Stored, updated, shared. Improve a prompt once, everyone gets it. Approvals? Built in. Define who reviews what before anything ships. Sharing? Invite someone to the repo. One source of truth, not twelve tools with twelve versions. Humans and agents, same playbook. The company brain isn't a metaphor. It's our operating model and @blockskunk is the lab. One repo at a time.

• 
  drufus (@twerpzz) reported 15 minutes ago

  @dnapway you can optimize token cost with less thinking effort on the model, saving .md files with memory/context, cheaper models, cheaper calls (rtk context mode caveman on github). not that hard. skill issue IMO

• 
  @kje123.bsky.social (@k___j___e) reported 15 minutes ago

  @CardosiCustoms any issues with consistency booting? the GitHub instructions said not to use too thick of wire for the two points on those capacitors and I bought magnet wire for that exact reason instead of just using my 26 awg stuff

• 
  CNCF (@CloudNativeFdn) reported 15 minutes ago

  When the docs don't cut it and GitHub issues aren't helping, where do you go? Between CNCF Slack, maintainer office hours, GitHub discussions, and project-specific forums, there's no shortage of options. #CNCF #CloudNative

• 
  Global AI Watch (@GlobalAIWatcher) reported 16 minutes ago

  📋 Today in AI — Jul 12 1. Meta Withdraws AI Image Feature Over Consent Issues 2. Meta Pulls AI Image Feature Amid Consent Backlash 3. GitHub Vulnerability Exposes Private Repositories' Data Risk 4. S&P Downgrades Oracle Credit Rating After OpenAI Exposure 5. Oracle Downgrade...

• 
  Manol T. (@manol_ai) reported 21 minutes ago

  I make ios apps and I don't have an IPhone Neither mac. This is how I do it: - made the app over @expo with claude code - set up my github actions (ci cd) to create android (adb) and ios builds (ipa) - they go directly to the internal testing track for android dev console and testfight in apple store connect - I rent a @MacinCloud for $30 to run ios emulator and make sure the app works for emulator - invited 2 friends to testflight - they report me bugs and I fix it I am stubborn enough not to buy an iPhone but spend money on ads. What are your app building challenges? #buildinpublic #mobileapps #testflight

• 
  Devesh Mehra (@Iam_DEv22) reported 27 minutes ago

  @github Fix the 10USD copilot limit, it's a nightmare

• 
  Yumzlef (@Yumzlef) reported 28 minutes ago

  Claude, fix the bug: launch an AI developer directly on GitHub Actions "If I can break even for 20 cents fixing a GitHub issue instead of getting up from my desk, opening an IDE, and doing it manually, it's 100% worth it." (0:00 - 1:16) Claude starts analyzing the code himself (1:17 - 2:54) Results in a minute (2:55 - 4:25) Log analysis and costs (4:26 - 5:50) Quick setup (5:51 - 8:51) Complex cases and screwups (8:52 - 10:41) Nuances and results Result: Claude: Code in CI is not a replacement for a senior developer, but your personal 24/7 junior developer on call. Set up automation for small, routine edits, divide up the chores, and spend time on what's really important!

• 
  mbriggs (@mbriggs_dev) reported 30 minutes ago

  @jamonholmgren I think engineers see ROI everywhere from this stuff. What I'm saying is when you zoom out to the company level, I don't think anyone is seeing it in a measurable way. And thats what matters for the financial people. I use a lot of software. Aside from coding agents themselves (which are a new category), there has not been anything that has come out that has caused me to switch off of "legacy" software to something new that ai development enabled. The last thing in that category for me was ghostty. Beyond that, no software I am using is releasing new features or broader features that are useful to me at a rate that is noticeably different then it was a year ago (I'm not going to count stuff like notion getting coding agents). If I were blind to AIs existence, the only noticeable thing for me would be nosedive in quality from institutional type software: aws, github, windows, etc are all noticeably worse now then they were a year ago. So we have all these companies spending literally hundreds of millions on a technology that should be increasing productivity, and what has that bought them? I never in a million years thought I would be looking to get off of aws or github due to stability issues. I'm saying this while churning out hundreds of thousands of lines of code for something I want to exist quickly, and as someone who has not really written any meaningful code between about a year ago till about a month ago. _I_ believe in the ROI at the eng level, even if I dont see it anywhere at the company level except for negative.