GitHub Outage Map

Community Discussion

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GitHub Issues Reports

Latest outage, problems and issue reports in social media:

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  HEMANG DUTT MISHRA (@hemang2208) reported 2 minutes ago

  Assume 100+ simultaneous GitHub Webhooks during a cohort submission Direct agent invocation cascading timeouts system down Fix took 4 lines of code FastAPI buffers to Redis queue Returns 200 to GitHub in <50ms Celery processes steadily Agents never see the spike kiyoai .in

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  Andrew (the *****) (@Andrewislington) reported 4 minutes ago

  GitHub went down the second I needed it for a big build 😭

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  38twelveDaily (@38twelveDaily) reported 8 minutes ago

  Problem: Microsoft engineers have favored Claude Code over Copilot CLI. There are gaps between the products that Microsoft now has to close. The GitHub team is shipping improvements based on feedback.

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  Glitch Truth (@glitchtruth) reported 9 minutes ago

  CISA, the US cybersecurity agency, left its own passwords sitting in a public GitHub repo for months. The same agency that fines hospitals and banks for sloppy security. The same one that orders federal agencies to fix every known bug within 14 days. Their secret keys were one search away from anyone scrolling code. Run GitHub's built-in secret scanner on your own repos this weekend. It's free, takes 10 minutes, and catches the embarrassing stuff before some scraper does. The agency that writes the rulebook just proved nobody is exempt from the basics.

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  Docsbook.io (@docsbook) reported 11 minutes ago

  @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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  49 Agents IDE - IDE for Agentic Coding (@49agents) reported 12 minutes ago

  @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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  Docsbook.io (@docsbook) reported 15 minutes ago

  @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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  lagerskoy (@lagerskoy) reported 17 minutes ago

  A 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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  Astrohacker (@AstrohackerLabs) reported 20 minutes ago

  today i'm switching from neovim to helix i truly love neovim. but neovim relies on third party plugins, and the third party plugin ecosystem relies on pulling the latest commit from github from a ton of different authors. if any one of them get hacked, then i get hacked. just like the recent npm supply chain issues, except even worse, because *** repos aren't designed to be packages like this. helix is all-in-one, which does not have this supply chain issue, and is thus intrinsically more secure. good experience so far - it's pretty vim-like. let's see how it goes.

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  Marc Campbell (@marccampbell) reported 25 minutes ago

  which 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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  Harsh Kapoor (@0x_Kapoor) reported 25 minutes ago

  Here’s your cheat sheet. Bookmark this. Set up once: /init: Auto-generate documentation as CLAUDE.md /memory: Set global preferences forever. /pr_comments: Load GitHub PR comments into context. Daily Use: /btw: Ask side questions without interrupting. /compact: Compress conversation, keep going. ! command: Run shell without leaving. /cost: Check your token usage. Power Moves: /fast: Toggle faster responses. /review: Systematic code review. /model: Switch models mid-session. When Things Go Wrong: /clear: Wipe conversation, keep setup. /doctor: Check your setup health. /terminal-setup: Fix terminal integration. /help: See all available commands.

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  🧙🏼‍♂️Dustin Freeman (@dustinfreeman) reported 26 minutes ago

  @cachedeposits Great visualization! The problem is where to store this data. Currently, we have either (a) internal, stored in the same text files as code (e.g. comments, or (b), external, stored elsewhere and referencing the code (e.g. GitHub issues that reference line numbers.

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  Anders Murphy (@anders_murphy) reported 29 minutes ago

  @vkrajacic If you host your code on github at the rate of leaks and security issues it probably is open source. I mean assuming MS isn't already training on private repos.

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  Docsbook.io (@docsbook) reported 31 minutes ago

  @lynnswap WebInspectorKit 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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  Fahim (@echo247365) reported 32 minutes ago

  237 real user stories. That is not a hype number. That is a receipt. Hermes Agent just published a page with 237 actual workflows from real builders across 15 categories. X posts, GitHub issues, Reddit threads, Hacker News, blogs, podcasts, LinkedIn, Discord. The page literally says these are real posts where people describe how they use Hermes. One person told Hermes to Google them, build a landing page based on what it found, SSH into a VPS, upload the page, and text them when it was done. Research, build, deploy, notify. That is a full loop. Another user runs Hermes every weekday at 9am to summarize their inbox and post the result to Slack. Not glamorous. But that is the kind of workflow that actually survives. Hermes is becoming a persistent worker. Not a chatbot. Not a code auto-complete toy. The bar for agents just went up. What is the one boring daily task you would automate if your agent actually remembered your workflows?