GitHub Outage Map

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GitHub Issues Reports

Latest outage, problems and issue reports in social media:

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  Axe Ghost. Now with Fragments mode🌟 (@axeghostgame) reported 1 minute ago

  graph in the OP is built from data around the Godot repository from github. it confirms Godot's PR backlog is up and external contributor quality is down. the narratively complicating thing is that both trends significantly predate ai tool availability.

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  Nav Toor (@heynavtoor) reported 3 minutes ago

  There is a GitHub repo that defeats Google's Play Integrity check. 61,030 stars. GPL licensed. Pushed eight days ago. The repo is called Magisk. It roots your Android phone. It hides root from banking apps. It runs Netflix on a phone the Play Store says is uncertified. It passes the same fraud detection Google built to stop it. Here is the part that makes no sense. The man who built it is John Wu. He has been maintaining Magisk for nine years. Since November 2023 he has been a Senior Software Engineer at Google. On the Android Platform Security team. The exact team that builds Play Integrity. Google hired the person who defeats their root detection. He still ships the tool that defeats it. The repo is still online. It has not been taken down. For nine years. Do not install it. Your phone is supposed to belong to Google. (Link in the comments)

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  Plasm (@plasm_lang) reported 3 minutes ago

  Symbol tuning: the prompt pattern that scales when your prompts get long — teach a tiny glossary once, reuse the same short symbols, instead of repeating full names with overlapping meanings and hoping the model infers context. In a federated tool schema 'labels' might be a query filter in one expression and a relation hop in another. Issue might mean GitHub in one step and Linear in the next. id might appear on three entities with three different meanings. Instead of repeating those names everywhere and hoping the model tracks the context, symbol tuning gives each contextual meaning its own slot: p#, r#, e#, and so on. The useful part is not only token compression. It is that the model gets a stable, copyable vocabulary. Examples stay short. Homographs become explicit.

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  Andrew McCalip (@andrewmccalip) reported 4 minutes ago

  some stuff broken, probably 3% of campaigns failed in a weird way, some user glitches, 5% of user environments screwed up, running low on organic ads, lots of refunds to do, my firebase bill blew up to $10k in a day, already being threatened by people, github issue list is a mess, i need to push updates to 20,000 clients, i got kicked off microsoft extension store, i've got a dozen imitators, but

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  Marlene Mhangami (@marlene_zw) reported 6 minutes ago

  @OpenAI @github I need to see if I can get the delay down and I am using gpt-realtime 1.5, so not sure if 2 will be faster but I really like this sort of experience and think this is such a fun way to rubber duck!!!

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  welt (@mjwelt) reported 7 minutes ago

  @OpenAI man im down to test out new models / features on my pro account, but when 5.5(6) pro takes 90 mins to do something then the download doesn't work, or it cant connect to github 50%+ of the time.. kinda sucks haven't been able to generate images (thinking) all day either

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  yourclouddude (@yourclouddude) reported 8 minutes ago

  Python + APIs + JSON = API Project Python + CSV Files + Pandas = Data Analysis Project Python + Web Scraping + BeautifulSoup = Scraper Project Python + Tkinter + User Interface = Desktop App Python + Flask + Database = Web App Python + FastAPI + Authentication = Backend API Python + Automation + File Handling = Productivity Tool Python + Selenium + Browser Tasks = Web Automation Bot Python + SQL + CRUD Operations = Database Project Python + Matplotlib + Insights = Data Visualization Project Python + OpenAI API + Prompts = AI Chatbot Python + Email + Scheduling = Automation Assistant Python + Logging + Error Handling = Production-Ready Script Python + Requests + Live Data = Real-World App Python + Projects + GitHub = Job-Ready Portfolio Python doesn’t become valuable when you only learn syntax. It becomes valuable when you use it to build things people can understand, use, and talk about. Learn the basics. Build small projects. Turn them into proof. 🐍

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  Dhruv Anand (@dhruv___anand) reported 8 minutes ago

  When @steipete comments on a @github issue or PR, is it actually him or just his Claw? Seems like a problem in general for people who let their Agent post and comment on their behalf.

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  Keeta Github Tracker (@KeetaCode) reported 10 minutes ago

  🐆 Keeta GitHub PR Merged 📦 Repo: node-rs 🔀 PR #25: Fix: Align ASN.1 Generated with TS Reference 🌿 Branch: fix/asn1-tags → main 👤 Originally opened by: @sephynox 🧠 Overview: This update fixes a behind-the-scenes formatting mismatch so Keeta’s Rust node code matches the TypeScript reference more closely, which should help different parts of the system stay compatible. The pull request says the ASN.1 generator was adding tags in a way that did not match the TypeScript reference, and it also switches to using `GeneralizedTime` more often, which is a standard way to represent timestamps. This appears to be a technical/internal update with limited public details. - Likely impact: fewer encoding/decoding mismatches between implementations. - This looks more like a compatibility cleanup than a user-facing feature.

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  Arti | AI Builder (@Artur_roses) reported 11 minutes ago

  Claude Code can take a GitHub issue, write the code, run tests, and open a reviewed PR — no human keystrokes required. The dev loop isn't getting faster. It's being removed.

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  bek※ (@ebubekirttr) reported 11 minutes ago

  @Themadhushaw01 @0interestrates Yeah, but the thing is, I am not working on github and I don’t want to use it so any other repository support would be better like gitlab

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  dax (@thdxr) reported 13 minutes ago

  almost every ai coding tool is doing a top down approach this isn't that surprising, majority of people don't know how to do anything else and there's a lot of easy money right now but think back to github, you used it as an individual long before your company moved over

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  Dr Milan Milanović (@milan_milanovic) reported 14 minutes ago

  Reviewing PRs was always a hard thing to do Files arrive, usually in alphabetical order, which tells you nothing about how a change moves through the code or where to start reading These days, you open a PR an agent wrote and see inside thirty files, and the one at the top is a test or an interface that won’t make sense until you’ve found the logic it’s checking, ten files down. So you rebuild the change in your head, out of order. On a cross-team review where you got pulled in for one file you own, that orientation alone burns the first half hour @coderabbitai Review restructures the PR into a sequence that follows the change's logic rather than alphabetical order. It groups related work into cohorts, then orders them into layers, so data shapes and contracts come before the call sites and tests that depend on them. Each layer attaches to exact line ranges and carries its own summary When a layer involves a new call path or a state change, it draws the diagram next to the diff: a sequence diagram, a state machine, an ERD. CodeRabbit says that cuts twenty minutes of reverse-engineering down to about thirty seconds. My read: even a fraction of that pays for itself on a large PR I tried to run it on a 40-file migration last week and layer order matched how I’d have read it manually. This is how it should work Comments and approvals post straight back to GitHub or GitLab, so nothing changes for teammates who skip it. You open it from the Review Change Stack button in the PR comment. It’s free during launch, then part of the Pro+ plan -- I want to thank @coderabbitai for collaborating with me on this post.

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  Shinka - AI (@ShinkaIoT) reported 18 minutes ago

  BEST way to vibe code 💻 There are levels to vibe coding. Beginners are trapped in a slow loop: writing a prompt, waiting for the agent to finish a line of code, reviewing it manually, and then typing another prompt. Experts have completely discarded manual intervention. They design closed-source harnesses, write background automation rules (`agents.md`), and set up self-correcting continuous loops that ship production-ready code indefinitely. If you want to move past basic prompting and build code like an agent power user, you need to implement three core structural strategies: 1. **Automate the Feedback Loop via Triggers:** Stop waiting for your agent to finish writing a file. Use native automation engines inside tools like Cursor or Codex to tie your agents directly to platform events. For example, build an active trigger rule: *When a GitHub pull request is opened, wait for automated code review comments (via Grapile), instruct the agent to systematically fix every noted bug, verify the adjustments against local quality gates, and force a *** push.* 2. **Deploy Infinitely Parallel Cloud Agents:** Running multiple agent threads locally will slow your machine to a crawl and cause toxic repository conflicts. Instead, spin up cloud-hosted agents running on isolated environments. By utilizing independent ***** work trees** for every thread, multiple parallel agents can actively modify the same files or code blocks concurrently without stepping on each other's toes—leaving conflict resolution for a single, final batch merge. 3. **Multi-Model Pipeline Routing:** Stop using an expensive frontier reasoning model (like Fable) for every step of a development cycle. Route tasks by cognitive demand: use a massive reasoning engine strictly to analyze the codebase and generate a comprehensive spec sheet; pass that structured blueprint down to a faster, cheaper code-writing engine (like Composer) to do the grunt coding; and route the final output to a separate model (like GPT-5.5) for a decoupled, alternative code review. The ultimate workflow flywheel requires a flawless combination of three automated pillars: **100% automated test coverage, real-time documentation sweeps, and exhaustive logging.** Stop writing code block by block. Start engineering the automated infrastructure that writes it for you.

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  Ant A. 🇺🇸 (@AntDX316) reported 24 minutes ago

  @thsottiaux When I need to fix up a GitHub Repo through the Smartphone, I prefer Claude Code though because it doesn’t need a device to run the repo, but if it needs to run a repo on a device due to the limitations through the Smartphone, I use Codex Mobile or OpenClaw with GPT-5.5 through Telegram.