GitHub Outage Map

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GitHub Issues Reports

Latest outage, problems and issue reports in social media:

• 
  Muvon (@muvonteam) reported 9 minutes ago

  Our first AI code reviewer flagged 14 critical issues on a one-line config change. 12 were imaginary. We rebuilt it: open source, self-hosted, runs your real lint and tests in GitHub Actions.

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  Polsia (@polsia) reported 11 minutes ago

  Dependency vulnerabilities pile up while automated tools suggest patches that introduce worse vulnerabilities or force disruptive major upgrades. Built ChainGuard AI to fix that — it monitors your GitHub repos, verifies patches actually work, opens the PRs, and reports your risk

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  Jay Carlson (@JayAtHomeOnX) reported 16 minutes ago

  @Elon -- maybe you should host a GitHub on your server farms...your next billion dollar...idea...

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  Dmitry Efimenko (@dmitryaefimenko) reported 16 minutes ago

  maybe the problem was that I selected "Plan" instead of "Fast" mode... Also, I thought it would create artifacts in Github issues, but all files were created locally.

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  sergio1030 (@sergio103040) reported 17 minutes ago

  @Real_kosumo_ @softbluelizard @ShitpostRock is it really harder tho? it took me 5 mins to figure it out how to use github the very first time I tried to download a mod, and haven't had an issue since, this just sounds like entitled people wanting everything handed to them in a silver plate.

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  MarMar Labs (@MarMarLabs) reported 18 minutes ago

  Better agent tools can make the agent worse. GitHub just documented it in Copilot code review. It replaced custom repo-navigation tools with shared `grep`, `glob`, and `view`. Offline benchmarks worsened: review costs rose, and useful comments fell. The fix wasn't a new model. It was a job-shaped tool contract: 1. Anchor on the diff. 2. Turn the change into a specific review question. 3. Narrow candidates with search. 4. Read the smallest useful code range. 5. Stop when the evidence answers the question. After tuning the workflow, GitHub says the production review cost fell by roughly 20% compared to the control, without a quality signal strong enough to block shipping. The same focused guidance did not produce the same win in Copilot CLI: same tools, different job. Builder takeaway: tool access is not agent design. The rules for when to search, what to read, and when to stop are part of the product. If adding tools makes your agent less reliable, inspect the trace before blaming the model: Is it converging on evidence—or just exploring?

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  0xharrxzz.base.eth (@0xharrxzz) reported 22 minutes ago

  GitHub alpha is not trending repos anymore. Trending is late. What I watch now: boring repos solving agent infra problems. Context bloat, browser blocks, MCP mess, cheap inference, code memory, sandboxed execution. That is where edge sits. A few repos worth watching if you bu

• 
  vorty (@vorty279) reported 22 minutes ago

  a private ai that reads your files. no code, no subscription, local. in the video they build it in a few minutes. and this is exactly what infobiz charges a monthly fee for the usual logic they sell you. want ai to work with your documents, pay for a cloud service, upload your files to someone else's server, hope nobody reads them there what is shown in the video. a local model running on your own machine. the files go nowhere, they are read from your disk, the answers are generated on your side. no subscription, because there is no one to pay how it works under the hood. a local model through ollama or llama cpp plus a rag layer that indexes your documents. all open tools. open webui, llamaindex, pgvector. sitting on github for free and the main plus is not the price. it is that you cannot be switched off. someone else's service raises the price, closes access, changes the rules. a local model under your desk cannot be revoked. it is slower than the frontier, but it is yours honestly. the interface is harder than a upload file button in a chat. setup takes an evening. but it is a one time setup, not a monthly payment a private ai is not a product behind a subscription. it is open blocks you connect once. the pickaxe is handed out for free

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  Steve Wilkinson (@SteveW928) reported 23 minutes ago

  @bsvdrip @rodpalmerhodl Yes, not too long after I got into Bitcoin and started really learning about it (and after listening to Andreas Antonopoulos on weaknesses), I became a bit alarmed over how Core was structured. I tried asking in some discussions and even got blocked by a prominent Bitcoiners on here (𝕏). I figured maybe I just didn't understand enough about how Github worked (in governance terms), but looks like I had properly identified a problem.

• 
  Duryab Aziz (@duryabaziz) reported 24 minutes ago

  I just shipped an amazing-looking agency website under 3 hours, all with the help of Claude Code, that scores 100/100 on Google PageSpeed across every metric and I built the entire thing through conversation. No page builder, no dev team, no 3-week back-and-forth with an agency. A few months ago my website was the thing I kept avoiding. Every small change meant writing new code, or editing WordPress websites spending hours with no-code editors, quite frustrating in 2026. Publishing a new page felt like a project, not a task. So I sat down with Claude Code and just rebuilt the whole thing from the ground up. Not a drag and drop builder, an actual architecture. Here's roughly how it works, in plain terms. The site is static, meaning there's no database and no server slowing things down, it's basically just fast HTML files sitting on Cloudflare's global network. All the content, every page, every section, lives as structured data in the codebase instead of being hardcoded. On top of that sits a simple content editor (Sveltia CMS) that talks to that data, so I can edit or publish pages from a normal looking dashboard, no code required. All changes are pushed to GitHub and Cloudflare automatically picks them up, without any redeployment hassle or managing servers. The part that changed everything for me is how pages are built. Each page is just an ordered list of "blocks," a hero section, a text section, a call to action, a contact form, whatever the page needs. When I want a new page, I describe it to Claude Code in one prompt and it assembles the right blocks, writes the copy structure, sets the SEO metadata, and it's live after a rebuild that takes under a minute. That's also why the SEO is properly built in rather than bolted on. Every page gets its own title, description, canonical URL, sitemap entry and structured data automatically, because that's part of the actual page model, not an afterthought plugin. And because there's barely any JavaScript shipped to the browser, the site loads close to instantly. I ran it through Google PageSpeed and it came back 100 out of 100. That wasn't luck, it's just what happens when the whole stack is built to avoid the bloat most website builders carry around by default. The other thing I didn't expect, I don't need my laptop anymore. Claude Code has cloud agents now, so does ChatGPT, so does Cursor. I can be on my phone, type "add a pricing page comparing our two plans" and walk away, and come back to a finished, live page. Same with small fixes or new features. That still feels a bit unreal to type out. I ended up documenting the entire system, the content model, the CMS setup, the hosting, every mistake I made along the way and how I fixed it, into a reusable skill for Claude Code. It's not a copy of my site, it actually interviews you about your business and builds something built for you, from scratch, using everything I learned. I want to give it away, but only to people who are genuinely going to use it. So here's the deal. Like this post, follow me, and comment "SITE" below. Once I see it, I'll send it straight to your inbox. Let's build something.

• 
  🇺🇸 Santore (@santoretech) reported 29 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.

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  HONESTEENDER (@honzeeeeee) reported 32 minutes ago

  @JamisonSlo55358 Hey, today I went to GitHub and saw that the 0.9.0 update was at 50% and went down to 40%. Does that mean it's progressing?

• 
  Oikon (@oikon48) reported 35 minutes ago

  @JeremyNguyenPhD Please refer following GitHub issue

• 
  Evan Kang (@evankang_ai) reported 36 minutes ago

  GitHub gave Copilot code review better shared tools. At first, the benchmark got worse: higher review cost, fewer useful issues caught. The fix was not just “more tools.” It was a review-shaped workflow: start from the diff, ask narrow questions, search for evidence, then read focused ranges. Better tools do not automatically make better agents.

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  komm64 (@komm64) reported 38 minutes ago

  @MagnoliaGasai A standalone version is something I'd like to consider down the line — depends on how much interest it gets, honestly. That said, your data is already fully local: your pixel art stays on your device. There's an optional "push to your own GitHub repo" feature which does send it out, but only if and when you choose to — nothing leaves your machine otherwise. And you can already save your projects as files (.dpix) and reopen them any time, so your work isn't locked into the site.