GitHub Outage Map

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GitHub Issues Reports

Latest outage, problems and issue reports in social media:

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  Yijia Liang (@yijialiang) reported 2 minutes ago

  Another day another Github outage

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  Bhoomi (@BhoomiSinghani) reported 4 minutes ago

  Excellent example of what we do NOT do at @Devlabs_club. I searched for ONE role with a narrow filter. Got 1900+ unranked profiles but were any actually vetted for fit? Which early-stage startup has time to look through thousands of profiles manually, without a recruiter?!! Tools like these actually increase the problem's complexity - surfacing old, outdated candidate data with no enrichment. What we need instead: -> fewer, better selective profiles -> enriched builder profiles, not stale -> real signal: github activity, agent traces, hackathon wins, shipped projects etc. -> community vetting to filter out the noise

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  Synqa (@SSS_Synqa) reported 6 minutes ago

  Several public tools maintained through this account are now returning 404 errors, and users have already contacted me because they can no longer access them. This suspension is causing an active service disruption. Please review ticket #4654337 urgently.@github

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  Dhruv Sahoo (@10xdhruv) reported 6 minutes ago

  The PNG download issue is FIXED. Some slides were failing to export because html2canvas didn't support some functions in @tailwindcss v4. Updated the dependency, tested the affected slides, and shipped the fix. You can now generate and download your GitHub Wrapped slides without those errors.

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  Phil | Rentier Digital Automation (@rentierdigital) reported 8 minutes ago

  expensive encryption defeated by asking nicely. turns out the vault just needed a weaker key a team found that smaller models from the same family can read the encrypted reasoning of bigger ones without breaking a sweat. feed Opus's encrypted thoughts into Haiku and it transcribes them in plain text. no jailbreak needed, the strong model never gets touched they pulled 6,708 real sessions from GitHub and HuggingFace. 315,320 blocks of reasoning decoded. 182 credentials fell out: API keys, passwords, access tokens, private keys if you've ever shared a Claude Code or Codex session publicly there's probably personal data hiding inside the reasoning, not the visible chat the real problem isn't that one model broke. it's that the security of a model family is capped by its weakest member and nobody threat-modeled the weak one bc it looked harmless that's a structural gap, not an accident i build and ship daily. Claude Code, Codex, whatever ships fastest. SaaS, tools, automations. ⭐ if AI can build it, i've probably broken it first. what works → link in bio

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  Toposopher (@toposopher) reported 10 minutes ago

  @cosmicfibretion I also wonder, have you recieved any engagement to your repo yet? Private or Public*? * Publicly the GitHub issues and PR on your repo seems empty so probably no?

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  sabir hussain (@sabir_huss50540) reported 11 minutes ago

  A tool that quietly scrapes posts and comments from seven of China's biggest social platforms has 49,700 stars on GitHub. Its own author begs you not to use it for real. It's called MediaCrawler, and it's a small window into who's actually harvesting the social web. Here's what it does. Point it at Xiaohongshu, Douyin, Kuaishou, Bilibili, Weibo, Tieba, or Zhihu, and it pulls posts, comments, second-level replies, and entire creator profiles into clean CSV, JSON, or a database. The clever part is how it dodges the platforms' defenses: instead of reverse-engineering their encrypted signatures, it drives a real logged-in Chrome session and lets the browser generate the signatures for it. No cracking required. It just borrows a real login and walks in the front door. That design choice is the whole story. It's why the barrier to mass-scraping social platforms is now "run this Python script," and why the repo has 10,500 forks. Now read the disclaimer the author wrote at the top of his own project. For learning and research only. Commercial use forbidden. And a direct link to a list of criminal cases in China where scraping crossed the line into prosecution. The person who built the most popular tool of its kind spends the first screen of his README telling you the thing is legally radioactive. Both of those facts are true at the same time, and the gap between them is the point. A 49,700-star tool does not get built and forked ten thousand times for a classroom. The "research only" label is real, and it's also the fig leaf that lets a tool like this exist in the open while everyone quietly understands what it's for: feeding sentiment engines, building marketing datasets, and scraping the human-written text that trains models. The comments under a viral post are worth more than the post. This is the machine that harvests them at scale. There's a second, quieter tell. It's Chinese platforms, but this isn't a China story. Every major social network on earth is in exactly this position: the public data is technically visible, the terms of service forbid taking it in bulk, and a free tool sits one ***-clone away from doing it anyway. Enforcement is the only wall, and the wall is thin. Don't read this as a recommendation. Read it as a status report. The public social web is being quietly vacuumed up by tooling that's free, popular, and openly hosted, wearing a "for research" sticker that everyone has agreed not to look at too closely. The scary part was never that someone built this. It's that 49,700 people wanted it.

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  jiayu (@daidaijiayu) reported 12 minutes ago

  I really miss piper in Google. Every new workspace is actually just about the small diff against the huge monorepo and it makes so much sense in current agent parallelism days. GitHub worktree in the other hand is just super slow and storage consuming.

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  Bárbaro Javier (@cubancodepath) reported 12 minutes ago

  GitHub SSH is down, one more time. Another day, the world is getting worse since the IA.

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  Polsia (@polsia) reported 17 minutes ago

  Most engineering teams can't afford a platform engineer to babysit their backlog overnight. Plumbwatch is the fix: an always-on AI crew that triages GitHub issues, drafts PR fixes for bugs and failing tests, and ships a morning digest. Humans hold the merge button.

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  0logn (@0logn) reported 17 minutes ago

  Remote coding-agents (aka software factories) are really a dev-ops (not AI) problem. Some security problems to solve but mainly it's a high-performance caching problem. The CI providers (e.g,. Github Actions, Blacksmith) were/are the best positioned to solve this.

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  AFRICA IS HOME GLOBAL (@AfricaisHOME2) reported 18 minutes ago

  Nvidia-backed AI code review startup CodeRabbit just raised a big new round that values it at $1.5 billion, marking a major step up for the 2-year-old company. The deal highlights how investors are betting on the next bottleneck in AI coding: not generating code, but reviewing it. With tools like GitHub Copilot, Cursor, and Claude Code letting developers ship code much faster, teams have hit a wall in pull requests and quality checks. CodeRabbit positions itself as the governance layer in between, a context-aware AI reviewer that understands a company’s codebase, flags bugs, security issues, and style problems, and drops feedback directly in IDEs, CLI, and *** platforms. The company, founded in early 2023 by Harjot Gill after he sold Netsil to Nutanix, has grown fast on that thesis. It announced a $60 million Series B led by Scale Venture Partners with participation from NVentures, Nvidia’s venture arm, plus CRV, Harmony Partners and others, bringing total funding to $88 million. At the time that round valued CodeRabbit at $550 million. Revenue is growing about 20% month-over-month and ARR has topped $15 million. More than 8,000 companies including Chegg, Groupon, Life360 and Mercury now use it, and over 100,000 open-source projects run it on GitHub Marketplace. Customers report big speedups, Groupon cut review-to-production time from 86 hours to 39 minutes. CodeRabbit says teams using it can cut human reviewers in half, and it’s doubling headcount to keep up with demand as vibe coding pushes more AI-generated code into production. - World Business News.

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  Tib3rius (@0xTib3rius) reported 21 minutes ago

  I talked about this in the Burp AT talk I gave at BlackHat. I created an entirely bespoke vulnerable web app to test agentic offensive AI. Source code isn't even on GitHub. There were 3 known (tricky) paths to RCE. Burp AT found an unintended one that was entirely due to a misconfiguration in the database server. This isn't even me trying to advertise Burp AT. But it found it, and it found it within minutes.

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  Moist Burro (@BefuddledBuddle) reported 23 minutes ago

  @zephyr_z9 Link is broken for me on GitHub, do you have a diff one?

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  Arjun Ram (@arjunram) reported 28 minutes ago

  @mutewinter They have bigger problems like keep their site up and GitHub actions? They should just become the API layer and outsource the UI completely at this point.