Is GitHub down?
Problems detected
Users are reporting problems related to: website down, errors and sign in.
GitHub is a company that provides hosting for software development and version control using Git. It offers the distributed version control and source code management functionality of Git, plus its own features.
Full Outage Map
Sign inProblems in the last 24 hours
The graph below depicts the number of GitHub reports received over the last 24 hours by time of day. When the number of reports exceeds the baseline, represented by the red line, an outage is determined.
March 12: Problems at GitHub
GitHub is having issues since 05:00 AM AEST. Are you also affected? Leave a message in the comments section!
Most Reported Problems
The following are the most recent problems reported by GitHub users through our website.
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Website Down (55%)
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Errors (32%)
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Sign in (13%)
Live Outage Map
The most recent GitHub outage reports came from the following cities:
| City | Problem Type | Report Time |
|---|---|---|
 New York City |
Errors | |
 León de los Aldama |
Website Down | |
 Quito |
Errors | |
 Belfast |
Sign in | |
| Guayaquil |
Errors | |
| Irvington |
Website Down |
Full Outage Map
Community Discussion
Tips? Frustrations? Share them here. Useful comments include a description of the problem, city and postal code.
Beware of "support numbers" or "recovery" accounts that might be posted below. Make sure to report and downvote those comments. Avoid posting your personal information.
GitHub Issues Reports
Latest outage, problems and issue reports in social media:
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C
(@0xce42) reported
@ChadMoran Locally I have no problem with using Claude or something locally via openllama. My main gripe is copilot running in my companies github cloud and I haven't tried to "fix" it yet, it just keeps making crappy suggestions that break the code.
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Julian Goldie SEO
(@JulianGoldieSEO) reported
KiloClaw might have just killed the biggest problem with AI agents. OpenClaw has 210,000+ GitHub stars and insane capabilities. But actually setting it up? Docker errors. Dependencies breaking. Servers crashing at 2am. KiloClaw fixes that in under 60 seconds. One click → your AI agent is live. No Docker. No servers. No manual configs. And you get access to 500+ AI models instantly. This is what finally makes AI agents usable for real businesses.
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Yu - AI Engineer
(@yu_master_ai) reported
AWS is down, time to go home. Slack is down, time to go home. GitHub is down, time to go home. Cloudflare is down, time to go home. New: Claude is down, time to go home.
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Nguy Duc Thuan
(@thuannguy) reported
I have had a really bad experience with @GitHubCopilot @github this week. A small payment issue has cut off my entire team from using Copilot. I filed a support ticket but have not received any response for two days. I'm seriously considering moving to Claude Code.
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Taha
(@doumaCode25) reported
@SolDegen100x @richiebranson Dude, the wrong GitHub links are everywhere right now and it’s so frustrating. I got annoyed and built a public registry to disavow these tokenized profiles. Definitely lock yours down.
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Grok
(@grok) reported
@andycyberlife @IndieDevHailey Exhaustive analysis of the tweet: Facts: Recommends 'Agent-Reach' skill for OpenClaw AI agents (strong reasoning, weak web "eyes"). Lists barriers: YouTube tutorials unviewable, X/Twitter eval via paid API, Reddit bugs 403, Xiaohongshu needs login, Bilibili summary blocked, GitHub issues need heavy auth. Solution: one command to install; agent handles all browsing/HTML. Entities: Agent-Reach (skill), OpenClaw (local AI agent), platforms (YouTube, X, Reddit, 小红书, 哔哩哔哩, GitHub), IndieDevHailey (indie AI dev promoting her projects), "养小龙虾兄弟盟" (playful Chinese community slang). Dates: None. Sentiment: Enthusiastic positive promo, humorous on frustrations. Credibility: Self-promo by creator with demo video showing success; fits OpenClaw's 5k+ modular skills ecosystem. Implications: Boosts agent web research/productivity for devs. Left unsaid: Install link/cost/tech details (proxies?), privacy risks, TOS bypass legality, security audits, exact compatibility.
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Grok
(@grok) reported
@magpow_0x @zeke They reduced context footprint via "Code Mode": the full Cloudflare API spec (~2M tokens) stays on the server. Agents get just 2 tools—search() and execute()—and write tiny JS snippets to query the spec + call endpoints. Only the code + results return to the model. Drops usage from 244k+ tokens (minimized tools) or 2M (raw spec) to ~1,069 tokens (0.5% of 200k window). See the GitHub for details.
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ShelfCheck
(@ShelfCheck) reported
@Chibsbuilds GitHub push errors after a full day of fixing other things is a special kind of demoralizing. Day 9 and still shipping though — that's the job.
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Wali Mohammad Kadri
(@_wmk0_) reported
@nexxeln @opencode How do you fix the too much consumption of premium requests of @github requests?
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Taha
(@doumaCode25) reported
@taitsgambles @Humanevolvd Spot on, the dev names getting dragged into rugs without consent is insane. I got fed up this weekend and built a public registry to disavow these tokens. You should lock your GitHub down before it happens to you.
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Grok
(@grok) reported
@rhettbierman7 @dcooper39325 No, the share is one of my earlier quick scans before full review. GitHub issues (#79, #86, #113 etc.) and user tests show: advanced claims (17-pt pose, precise HR/breathing, through-wall) mostly fail or stay in simulation mode. Basic motion/presence sometimes works on real ESP32, but demos are static, Docker often broken, and "audit" is internal AI-only. Stars look farmed. Not legit as hyped.
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R 'Nearest' Nabors (they/them)
(@nearestnabors) reported
I've heard a lot of "juniors are skipping learning hard lessons! Seniors are underwater with AI-generated slop!" But I'm not sure that's what's happening. My GitHub squares turned emerald green around November. That was AI. Much of it was not carefully crafted. But I've had the benefit of working with some amazing engineers. And I have learned so much, so quickly, from their feedback on PRs I wouldn't have been able to submit in a timely fashion before. I've learned about cache poisoning, for instance. I have built things I never would have known how to because I could sit down and talk with people who've delivered them before about plans I'd researched. I think "slop code" has underscored a problem tech has long had, but juniors have been able to brute force past: there are more juniors seeking mentorship than there are seniors willing or able to guide them. I'd like to see the role of senior engineers shift to a sort of master craftsman overseeing a studio of apprentices carrying out their work, assigning rough drafts, etc.
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Taha
(@doumaCode25) reported
@wildcryptox @TC_NVC @MANTRA_Chain The whole industry rugging creators is ridiculous. I saw it nonstop this weekend and built a public registry to cryptographically disavow these tokens. Seriously, lock your GitHub down to avoid the mess.
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Taha
(@doumaCode25) reported
@hyennaonsol @Steve_Yegge Man, I saw this happening all weekend and got so annoyed I just built a public registry to cryptographically disavow these tokens. You should lock your GitHub down.
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Grok
(@grok) reported
@magpow_0x @zeke They reduced context footprint via "Code Mode": the full Cloudflare API spec (~2M tokens) stays on the server. Agents get just 2 tools—search() and execute()—and write tiny JS snippets to query the spec + call endpoints. Only the code + results return to the model. Drops usage from 244k+ tokens (minimized tools) or 2M (raw spec) to ~1,069 tokens (0.5% of 200k window). See the GitHub for details.
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Cynthia Bell McGillis
(@cynthiamcgillis) reported
What's the best Markdown to Notion workflow people have? I'm currently spending a lot of my time directly in the terminal, iterating and making markdown files. Once I feel they are "done" I want to port them over to Notion. I have the MCP hooked up and just drop the Github URL into Claude and it turns it into a Notion page. I'd actually be down to do this in Notion too I guess?
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Grok
(@grok) reported
@KOWSKY_ @heynavtoor No, RuView isn't real. The GitHub repo (ruvnet/RuView) is an AI-generated hoax using hardcoded/random mock CSI data, placeholder code with no trained models, and fabricated benchmarks/tests. No functional Docker image, no real ESP32 integration, suspicious 27k+ star inflation, and deleted issues. WiFi sensing research exists (e.g. CMU's 2023 paper), but this is non-functional slop. Don't run it.
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Eric Lewellen
(@redlewel) reported
@staysaasy Does github go down that much?
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PhotoCHAT
(@PhotoCHAT_AI) reported
@aShubhamz GitHub caps individual files at 100MB so any video above that just fails silently. Also repos with large binary files get really slow to clone and push over time. Clever hack, hats off for running it 6 years though.
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Harsha Vardhan
(@sdotharsha) reported
Week 1 of #BuildInPublic: MCP fundamentals From 500+ GitHub stars and 50k+ downloads, here's what I learned about why devs are adopting MCP: It's not about AI hype. It's about solving real problems. 7 insights 👇
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doublemover
(@doublemover) reported
lmfao goddamnit github you *************, codex is extremely confused because a bunch of work it did and tried to close out issues for didn't take. That'll teach me to rely on you for anything, ever
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Sunny
(@sunnyworks) reported
@fjzeit Yes, I would. GitHub is simply not built for the way we are building software. Microsoft seems to be really slow in competing for developer mindshare when it has a head start in literally every category. I think people are giving Satya too much credit - XBox, Mobile, bets on OAI, CoPilot, Foundational Models - just don’t see them competing well with Anthropic in the enterprise space and ironically OAI in the consumer and prosumer space
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Pochi
(@getpochi) reported
@twlvone @github compiler = best prompt engineer for agents. we let Pochi read TS errors directly from terminal and thats how it fixes its own bugs. stricter types might end up being for agents
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David Gentile
(@dfgentile) reported
@mhmazur Independent but connected. Nothing being done is not what a human dev wouldn’t be doing. Plans get discussed and generated into GitHub tickets. Dependancies are mapped. Parallel issues get parallel agents on worktrees following the same process to complete the tasks.
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₿ Lord Kristaps Kaupe ($ is for sats)
(@kristapsk) reported
@ckpooldev @nvk *** can be on github too, that doesn't matter, *** is decentralized, every *** clone makes full copy of history, problem is issue and pull request handling.
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techsage
(@techSage) reported
@marmaduke091 Looks like @GitHub Issues + GitHub Copilot Coding Agent assignment to me. Done about 9mo ago. Nice to have the option though.
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RIPlay
(@R_i_Play) reported
@vibeonX69 (github is an ssh server without shell)
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Nils
(@nilsfdm) reported
A niche goldmine: abandoned Shopify theme stores. Scrape Shopify directories and GitHub repos for store themes. Look for repos where the last commit is over 12 months old but still have star activity (signal for latent interest). Check if their corresponding demo stores are still live – most founders leave these running even if the project is dead. Next step: scan the demo stores with tools like BuiltWith or Wappalyzer. See which use paid apps/plugins (e.g., recurring payment systems, upsell tools). If they’re active, these stores are likely generating some revenue, and the owner’s probably distracted or has moved on. Outreach: DM or email with a simple offer – “I see you’re still running [store] but not updating it. Interested in selling the whole package? My team can run it.” Negotiate for pennies on the revenue – the value for them is an easy exit. Flip strategy: Revive the store with minor updates (SEO, fresh plugins). Keep running it for cash flow or list on a marketplace like Exchange for a 3–5x revenue multiple. Many of these demo stores sit forgotten while still pulling light traffic. You’re essentially buying a glitch in the system.
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Grok
(@grok) reported
@write__ai @wesbos Yes, it's real. Addy Osmani announced it on X today, linking to the active GitHub repo (googleworkspace/cli) with a full CLI for Drive, Gmail, Calendar, Sheets, Docs and more—plus 100+ AI agent skills and MCP server support. Latest release was hours ago. Repo disclaimer: not an officially supported Google product.
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Grok
(@grok) reported
@trustmeeun24899 @twlvone @github AI picks TypeScript by default cuz its static types act as guardrails—clear rules, compile-time checks, and instant feedback that help LLMs generate reliable code with fewer hallucinations or runtime bugs (94% of AI code errors are type-related). JS is looser/dynamic, so harder for agents to nail without extra prompting. Modern stacks (Next.js etc.) push TS too. Just keep prompting for JS if you want it! What are you building?