GitHub Outage Map

Community Discussion

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GitHub Issues Reports

Latest outage, problems and issue reports in social media:

• 
  Richard (@psyvision) reported 3 minutes ago

  .@github enterprise sales/purchasing is one of the worst I've encountered. Unhelpful and unresponsive, normally it seems Sales/Account Executives badger you endlessly. It seems reliability and security are not the only issues plaguing the business.

• 
  Ritu Raj (@Gudakesh_07) reported 4 minutes ago

  6/7 Result? Loading times dropped by almost 70% — from 6-8 minutes down to under 2 minutes. He created a custom DLL patch, shared it on GitHub, and the story went viral. Rockstar eventually added his fixes, credited him in the patch notes, and gave him a $10,000 bug bounty.

• 
  gabriel (@gabrielmfern) reported 4 minutes ago

  the GitHub review experience is once again horribly slow

• 
  OCTAMEM (@OCTAMEM) reported 7 minutes ago

  @BladeoftheS Not collapse, repricing. Microsoft, Uber, and GitHub all hit the same wall: token billing made the all-you-can-eat era unsustainable. The models work fine. The pricing model didn't. Different problem.

• 
  Anthony Ronning (@anthonyronning) reported 10 minutes ago

  Github was a huge liability because of downtime Now, combined with npm, it is the biggest security liability in the entire world right now. About to just self host my own vanilla *** server and call it done.

• 
  Jim Cen (@JimCen37) reported 14 minutes ago

  I automate my founder content pipeline end-to-end. Here's what the stack actually looks like. Every post starts in an Obsidian vault — a batch folder with meta.yaml and four platform drafts. A GitHub Actions hook commits the folder to a bridge repo. A Railway service polls that repo every 60 seconds, validates the schema with Zod, generates LinkedIn carousel images using GPT-image-2 with a Sonnet art director, overlays all text deterministically via Sharp + SVG (Manrope font, exact brand hex), then schedules everything in Postiz. The whole thing runs without me touching a keyboard after the drafts are approved. What took the longest to get right: image quality. The model kept rendering text inside the image — garbled glyphs, wrong fonts, wrong colors. Fix was simple in hindsight: prompt background-only plates, let Sharp do all the typography. Now the brand is pixel-perfect on every slide. Current stack: Node + TypeScript, Railway, Postiz (self-hosted), OpenRouter, Sharp. Total infra cost: ~$12/month. The bottleneck now isn't publishing — it's writing good drafts to begin with.

• 
  Jon Williams (@jonathannen) reported 14 minutes ago

  Has Claude auto-responding to GitHub comments broken? It worked before, but now it appear you need to push every comment. This was a major differentiator w/ Codex!

• 
  Shubham Malik (@shubham10th) reported 21 minutes ago

  @github Hey @github — Copilot upgrades have been paused for weeks with almost no clear timeline. Support responses are slow, billing is confusing, and users are left stuck waiting. Are your developers seriously this slow at rolling out a billing update?

• 
  Nikhil sinha (@sinhaniik) reported 22 minutes ago

  5/5 HTTPS = HTTP + TLS. TLS doesn't just encrypt data — it also authenticates the server (so you know you're talking to the real GitHub, not a clone). The 🔒 icon means two things: → The connection is encrypted. → The server is who it claims to be. Most people know the first part. The second part is where the real security lives. Save this if you're building your infra fundamentals. Follow for more real DevOps breakdowns. 🔁

• 
  PsudoMike 🇨🇦 (@PsudoMike) reported 23 minutes ago

  @mitchellh *** produces that diff in milliseconds. The bottleneck is rendering. GitHub ships the raw patch to the browser and lets JS do diff computation, syntax highlighting, and DOM construction in the main thread. No one has virtualized large diffs properly and that's the actual problem.

• 
  Kang Cahya (Tech Dev) (@dyazincahya) reported 24 minutes ago

  Now, here is the deadly trap. 💀 Many of us have a bad habit of setting our database token columns to VARCHAR(255). The moment GitHub sends that new 520-character token, the data gets truncated. The system fails to read it, and BOOM... production error.

• 
  Leo (@leodev) reported 25 minutes ago

  @NiravJ3 My problem with GitLab is the fact that their UX/UI is terrible. I have talked to multiple people and they all say the same thing, Github looks good compared to them.

• 
  ICPsimp ☁️∞ (@ICPsimp) reported 27 minutes ago

  @ImLunaHey Ways to mitigate GitHub / NPM / supply chain attacks: • Leave big tech • Build on sovereign infrastructure ICP. Tamper-resistant canisters. Immutable deployed code. Threshold cryptography. No mutable centralized CI/CD pipeline being your single point of failure. Build differently. Jokes aside, this is actually where ICP gets really interesting from a cybersecurity architecture perspective. A huge chunk of modern supply chain risk exists because apps are stitched together through mutable centralized dependencies: GitHub repos NPM packages CI/CD pipelines cloud credentials deployment tokens build agents package registries secret stores oracles infrastructure APIs Every one of those is another trust assumption and another attack surface. A compromised maintainer account. A poisoned package update. A leaked CI token. A malicious dependency. Game over. ICP changes the architecture. Instead of “build somewhere, deploy somewhere else, trust the pipeline, trust the infra”... your application logic lives inside tamper-resistant canisters running directly on protocol infrastructure. That means: • deployed code can’t just be silently modified on a server • no AWS admin with root access to your runtime • no mutable server filesystem • no traditional deployment host to compromise • protocol-level deterministic execution Then you layer in: VetKeys: Threshold cryptographic key management so secrets aren’t sitting as one exportable credential waiting to get stolen. Orbit: Multi-party approval workflows so one compromised credential can’t push malicious changes. Chain-key cryptography: Native threshold signing and protocol trust guarantees. Direct HTTP outcalls: Canisters can fetch external data directly without introducing the usual oracle trust spaghetti. Does ICP magically eliminate all supply chain risk? No. Your application code can still be bad. Your developers can still make mistakes. Dependencies can still be risky if you import garbage. But architecturally? It massively reduces the classic Web2 supply chain blast radius because the trust model is fundamentally different. Worth discussing.

• 
  dnu (@DnuLkjkjh) reported 28 minutes ago

  @Ja4h3ad @github yeah this gets weird fast in a real repo. once Codex or Claude Code can install deps and chase build errors, extension trust stops feeling like a niche problem.

• 
  NotMissing (@notmissing_) reported 29 minutes ago

  In 2024, putting AI between your inbound leads and your CRM costed $150K and took 6 months today the same system is 4 weeks and one person AI coding agents just closed 82% of real terminal tasks and 76% of real github issues unsupervised The public benchmarks are noisy, the practical consequence is not the engineering hours required to build production AI into a business collapsed by an order of magnitude For any founder running a real business in 2026, this matters in one specific way The AI layer that handles your lead inbound, your reporting, your follow-ups, your ad analysis the systems that used to be enterprise only because the engineering was expensive they just became mid market priced the founder who got quoted $80K for an AI lead handler in 2024 and walked away was right to walk away that price was real, the underlying engineering hours were real Problem is that the math didn’t work for a business doing $1M/year the same scope today is a fraction of the cost not because the model got cheaper, though it did, but because the engineering hours required to ship it dropped from weeks to days The operators who repriced are already running on systems their competitors don’t have AI replies to inbound in 2 minutes, follow ups go out automatically monday morning reports are already in the inbox by 7am the team handles judgment calls, the AI handles the predictable work that used to need three hires. The operators who didn’t reprice are still scoping projects against 2024 numbers and waiting for “a better time” They’re posting jobs for an SDR while a competitor ships a system that handles inbound for the cost of a quarter of that hire the AI agent debate online is noise the actual story is that the AI layer for a real business, the kind that handles lead handling, CRM, ad ops, reporting, is no longer a 6 figure decision for most founders The build you walked away from 12 months ago doesn’t cost what you remember