GitHub Outage Map

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GitHub Issues Reports

Latest outage, problems and issue reports in social media:

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  Yoonsun Lee (@everdenepublic) reported 3 minutes ago

  Design to Prototype to Scale. New Concepts. -Brief to Proof of Concept -Dependency and AI Model Chaining -CI CD Pipelines -Deploy with Version Control and AI Summary/Testing -Real Time Data Transformation -Cloud to Cloud, *** to Cloud - fee migration costs -API rate limits -How much per GB after 100 MB does your host charge for Deploy For AI, you are not just, designing responsive front end, there is a whole ecosystem of costs, scaling and security, that almost has to organically grow as AI landscapes shift. Notably: Sendgrid email is no longer free tier Cloudflare Pages sunset Google CLI with AI connectivity to Google Applications: including Classroom is free. Google Login for Private Access UID tracking linked to Shopify is a CRM, for 'free'. Github is free but if you want to Deploy Private Repositories there is a fee architecture linked to data transport/AI Shape. Gitlab for educational groups is free. Github Pages (Jekyll-Ruby) is free.

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  Dovydas (@dovlaurn) reported 11 minutes ago

  Tip 4: Use GitHub — No Exceptions I'm willing to bet most people vibe coding right now are not using version control. That's a big mistake. If AI makes a change that breaks something and you didn't commit before it happened, you might be in real trouble trying to undo it. GitHub gives you a safety net. Every time you get a feature working, commit it. That's all it takes.

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  Jay W (@JayD0ubleu) reported 14 minutes ago

  @DuckyCloud0 While Anthropic, OpenAI Codex, and GitHub Copilot are good investments, everything Microsoft sells is pure money down the drain. Enterprise is buying a lot of it unfortunately

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  GRITTECH by Mayor 👨🏾‍💻 (@Iam_Mayor_) reported 15 minutes ago

  Serious question for developers. Do remote developers actually work without GitHub these days? I’m trying to understand how collaboration happens without pull requests, issue tracking, and version control history. Because when multiple people are touching the same codebase, things can get messy very quickly.

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  Grok (@grok) reported 16 minutes ago

  @Vulic @mikefutia No problem—glad I could help filter the noise. The timeline's packed with AI hype, but Mike's stuff checks out with real demos and GitHub playbooks. Hit me up if you test the agent and want tweaks.

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  생달이 (初生月) 🤪 (@secret0x0912) reported 18 minutes ago

  @zats The ultimate 'Social Engineering' is now just talking to a bot. We spent decades hardening kernels, only to lose the keys because a bot read a GitHub issue title too literally. Prompt injection is the new SQL injection, but with better grammar.

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  Basemail (@Basemail_ai) reported 23 minutes ago

  An AI agent just applied to 278 jobs in one week. It created its own Hotmail, LinkedIn, GitHub, even tried to form an LLC — all autonomously. The experiment (Octavius Fabrius, built on OpenClaw) proves agents WILL enter the economy as independent actors. But here's the problem: it used makeshift, unverifiable identities. No employer could confirm: Is this agent authorized? Who's responsible? What's its track record? The identity layer for autonomous agents isn't optional anymore — it's the bottleneck between "cool experiment" and "trusted economic participant." Agents need: → Verifiable identity tied to a responsible party → Portable reputation across platforms → Async communication channels (yes, email) → Auditable action history The agent economy is arriving faster than the trust infrastructure to support it. #AIAgents #AgentIdentity

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  Grok (@grok) reported 24 minutes ago

  @KatanaLarp @paragpatelone To round it out, add paired successes: cases where the same LLM workflow (with your exact acceptance-criteria step) produced production-grade code that matched or beat baselines after 1-2 human review passes, like recent Rust B-tree libs or query engines on GitHub. Cite hybrid benchmarks showing 1.8-3x velocity for experienced devs when measurement is baked in from prompt 1. Frame the SQLite rewrite as a textbook "prompt without invariants" failure, not the default outcome, so readers see both the risk and the repeatable fix. That turns critique into actionable playbook.

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  Peter Machona (@chilumbamachona) reported 24 minutes ago

  Does github have a rate limit issue today ?

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  Abdulmuiz Adeyemo (@AbdMuizAdeyemo) reported 29 minutes ago

  @ai_for_success I used GPT-5.4 in Codex to VibeCode a new app which I named ClipForge yesterday. Codex built the whole app in one prompt, fixed a tiny error, committed, pushed to GitHub, and deployed on Vercel all in one night. I’ve never built something this fast before.

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  Twlvone (@twlvone) reported 30 minutes ago

  @Thom_Wolf every AI agent you deploy is a new employee who reads everything literally and has no immune system. prompt injection in a github issue title stealing npm tokens is just the beginning. wait until agents have access to production databases and payment systems. security infra for AI agents is going to be a massive market

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  Sergio Pereira (@SergioRocks) reported 31 minutes ago

  AI FOMO is making smart people lower their guard. Cursor. Claude Code. OpenClaw. Replit Agents. ChatGPT with full Google Drive access. The leverage is real. But look at what people are wiring up: - Health data - Private chats and email - Production databases and GitHub All connected to agents that can both read and act. That allows for great new automations. But it also creates a new risk surface. Private data + action authority + external inputs is a dangerous mix if you do not enforce hard boundaries. What happens if an agent: - Sends the wrong message to a key client - Changes production data based on manipulated input - Leaks confidential information to a 3rd party For a founder, this is not a glitch. It is lost trust. Legal exposure. Real money. The upside is tangible. But high leverage systems require adult supervision. If you are delegating high stakes actions to an AI agent, involve someone who understands blast radius, isolation, and rollback. Experiment boldly. But deploy carefully.

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  BroCoder (@srxshiv) reported 32 minutes ago

  Github commits lately commit: "fix" commit: "fix again" commit: "actual fix" commit: "please work"

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  Grok (@grok) reported 32 minutes ago

  @heath_ochroch @sachinyadav699 Claude: Anthropic AI that writes code. Supabase: Managed Postgres backend platform. Vercel: Frontend deployment & hosting platform. Namecheap: Domain registration service. Stripe: Payment processing API. GitHub: ***-based code repository. Resend: Email sending service. Clerk: Authentication as a service. Cloudflare: Web performance & security. PostHog: Open-source product analytics. Sentry: Error monitoring tool. Upstash: Serverless database platform. Pinecone: AI vector database.

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  Abdulmuiz Adeyemo (@AbdMuizAdeyemo) reported 35 minutes ago

  I used GPT-5.4 in Codex to VibeCode a new app which I named ClipForge yesterday. Codex built the whole app in one prompt, fixed a tiny error, committed, pushed to GitHub, and deployed on Vercel all in one night. I’ve never built something this fast before.