GitHub Outage Map

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GitHub Issues Reports

Latest outage, problems and issue reports in social media:

• 
  Devesh Shukla (@Devesh143) reported 26 seconds ago

  @DenisKursakov Microsoft is burying their one good product under a mountain of legacy bloat. The "one Copilot" slogan is pure cope. You can't fix a 4.5% adoption rate by adding more apps—you fix it by making the product invisible. GitHub Copilot is getting liquidated by Cursor and Claude Code because they focus on THE FLOW, not the brand. Developers don't want a separate assistant; they want their environment to think. Microsoft didn't build a system. They built a distraction.

• 
  Shiv (@shivkmojha) reported 2 minutes ago

  The sources: Stripe — failed charges, failure codes, revenue at risk Sentry — fatal + error exceptions that correlate to the failure window GitHub — recently merged PRs (the deploy that likely caused it) Datadog — triggered monitors (error rates, latency spikes)

• 
  Ahmed Alnagar (@ahmed0alnagar) reported 3 minutes ago

  Cancelled my GitHub Copilot subscription. ~300 credits per prompt. 300 × 5 prompts/day × 4.5 days = 6,750 credits. That's nearly an entire 7,000-credit ($39) plan gone in less than a week. Add frequent errors and unreliable outputs, and it's hard to justify. @Copilot @github

• 
  Pulseon (@pulseon_dev) reported 5 minutes ago

  Agent benchmarks are the new LLM benchmarks. Every lab publishes SWE-bench scores. The leaderboard turns over every few weeks. What it measures: 2021 GitHub issues. Production codebases don't look like that.

• 
  Luka (@mladluka) reported 5 minutes ago

  35+ agents, 24h+ autoresearch loop optimizing an NLP imbalanced class problem with 1.000.000+ LOC PR 10 research agents scraping the internet: arXiv, GitHub, Kaggle, Medium, etc.. and saving findings to research.md. 10 implementation agents adapting research to the concrete domain problem, training models and running evals, logging to logs.md. 10 feedback agents performing full error analysis cycles and proposing next architecture iterations to feedback.md. So far improved the existing production real-time SOTA model by 5 points

• 
  Beto Muniz (@obetomuniz) reported 6 minutes ago

  I've been poking at the browser's Built-in AI APIs and built a tiny on-device agent on `web-ai-sdk`. Watch it summarize two of my blog posts, then fetch a GitHub repo's stars. It runs on Gemini Nano in the browser (Chrome's Prompt API): no server, no API keys, nothing leaving the tab 🤩

• 
  Henry Stanley🔸 (@henryaj) reported 8 minutes ago

  @antirez Was amazed to see the emoji reactions on that GitHub issue - almost all upvoting people tearing down the maintainer, and downvotes for everyone else. Really depressing

• 
  SoloVault (@solovaultinfo) reported 8 minutes ago

  SoloVault Signal: Context infrastructure making AI coding agents company-aware. Signal Strength: 9 Investment View: invest Market Crowding: medium Commercial Value: high Startup Idea: You've deployed Cursor, GitHub Copilot, or a custom coding agent — and it's still writing code that ignores your internal libraries, violates your architecture patterns, and doesn't know your team's conventions. The model isn't the problem; the missing context is. This product is a company-specific context management platform: it indexes your private codebase, internal docs, Confluence pages, ADRs, Slack engineering discussions, and PR history into a structured, queryable knowledge graph. It exposes this context to any AI coding agent via MCP (Model Context Protocol) or a REST API, so agents can retrieve relevant internal examples, conventions, and dependencies before generating code. Setup takes under 30 minutes via GitHub/GitLab OAuth and Confluence/Notion connectors. The result: agents that code like a senior engineer who's been at your company for 3 years, not a smart intern who just read the public docs. Revenue Drivers: — Growth Logic: - MVP Monetization: - MVP Design: - Key Competitors: — Differentiation: Moat is built through deep integration breadth: the more connectors (GitHub, GitLab, Jira, Confluence, Notion, Slack, internal wikis) and the richer the indexing pipeline (semantic chunking, dependency graph extraction, convention inference), the harder it is for a competitor to replicate the full context fidelity. Customer-specific fine-tuned embeddings and convention models improve with usage, creating data flywheel. Becoming the official MCP context provider for major coding agents (Cursor, Windsurf) creates distribution lock-in. Risk & Compliance: — One-liner: For engineering teams whose AI coding agents keep hallucinating internal APIs and ignoring company conventions, this is the context infrastructure layer that makes agents actually know your codebase — not just the internet.

• 
  Darren (@CorboDT) reported 16 minutes ago

  @github reviews by @GitHubCopilot are so damn slow. Are you running your agents on half a dozen PII’s? It’s faster to wait for humans to respond. Is this a ploy to increase developer job security?

• 
  AsfaS (@s_asfa44317) reported 16 minutes ago

  @KaiXCreator @KaiXCreator GitHub. Even when it's down, we just stare at the status page and wait patiently.

• 
  Molly O’Shea (@MollySOShea) reported 16 minutes ago

  BREAKING: Merge Launches ‘Agent Handler’ Control AI Access, Tokenmaxxed $$$ Bills, & Stop Mass Data Leaks "We don't trust agents" "The second you connect it to tools, that's where everything goes wrong." OpenAI. Perplexity. Netflix. Uber. Mistral. Dropbox. JPMorgan.. all quietly run on @merge_api Co-Founders CEO @Shensi Ding & CTO @GilFeig dive into it all We cover: - MASSIVE AI Security scares are just starting - Tokenmaxxing bills - Agent Handler - Gateway routing - Winning enterprise logos - The SaaSpocalypse 𝐓𝐈𝐌𝐄𝐒𝐓𝐀𝐌𝐏𝐒 (00:00) Shensi Ding & Gil Feig, Co-Founders at Merge (01:04) Three products. One big bet (03:20) How Merge made the AI pivot (04:42) The Classic Innovator’s Dilemma (05:58) Building culture around AI (07:10) The leverage nobody’s talking about (08:52) Codex vs Claude Code (09:15) The scale nobody knew about (09:47) SaaS, Finance, and the Biggest AI Labs (10:46) Why AI companies buy differently (12:04) What AI sales actually looks like (13:04) The Fastest sales cycles in the market (14:35) Why is Cybersecurity broken (15:59) Merge's solution to agent security (19:16) Mythos, Wiz, and the GitHub Hack (22:34) 1,000 Bot signups in one hour (23:23) Real reason companies pay ransom to hackers (25:43) The State of AI Infrastructure Costs (26:41) Internal AI Governance is the next big problem (29:28) Most Popular Integrations on Merge (30:54) Big Giants are planning big moves (31:54) What does Salesforce going headless exactly mean (33:41) Agents don’t need a UI anymore (36:59) Can this AI generation actually adapt (38:25) What Merge looks for in talent (41:25) The SaaSpocalypse is real (45:03) Are AI valuations actually insane? (47:11) How Merge landed OpenAI, Perplexity, Netflix & Uber (49:02) The Metrics that actually drive the business (49:58) Biggest misconceptions in tech right now (51:55) The market is finally catching up to Merge

• 
  Felipe (@beatingLupin) reported 16 minutes ago

  @DavidKPiano @peterpme question, I remember trying and reading a issue on the github 1year ago but are people using tanstack query + xstate? how are they doing it? I really wanted to do this some time ago, but was very tricky

• 
  noname (@nonamefa5) reported 17 minutes ago

  @caps_raunak No wonder you say that considering the trash code you have on your github. Skill issue.

• 
  Tim Culverhouse (@rockorager) reported 18 minutes ago

  I want a Github token that authenticates as me, but displays in the UI that I used an agent for the <thing>. I use agents to close issues, respond to PRs, etc. I don't want to create a fake user, or a Github app. I just want people to know that an agent did the thing on my behalf

• 
  Tara O (@taraap2) reported 24 minutes ago

  "Hey @lovable and @antonosika Publish & agent is broken for hours again. Getting 'commit not found' errors on a fresh GitHub repo. Your own AI agent confirmed it needs engineering to fix and there's zero weekend support. This is unacceptable for a paid product. #lovable"