GitHub status: access issues and outage reports

Problems 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.

Most Reported Problems

The following are the most recent problems reported by GitHub users through our website.

• Website Down (70%)
• Sign in (17%)
• Errors (13%)

Live Outage Map

The most recent GitHub outage reports came from the following cities:

City	Problem Type	Report Time
Itapema	Website Down	16 days ago
Tlalpan	Sign in	21 days ago
Quilmes	Website Down	21 days ago
Bengaluru	Website Down	23 days ago
Yokohama	Sign in	24 days ago
Gustavo Adolfo Madero	Website Down	28 days ago

Full Outage Map

Community Discussion

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GitHub Issues Reports

Latest outage, problems and issue reports in social media:

• 
  John Galt (@randsgalt) reported 3 minutes ago

  Claude Code auto-compaction feature consumed my $10 usage credits without my knowledge or consent. This is a known bug documented on Anthropic's GitHub (issue #63896, #62199). I never enabled 1M context intentionally. Requesting a full refund of the consumed credits @AnthropicAI

• 
  Justin H. Johnson (@BioInfo) reported 5 minutes ago

  I built a small thing this week that I thought was clever. One of my automated routines now reads back over its own run, asks what it just learned that its instructions didn't already cover, and edits its own checklist so the next run is a little sharper. Then I went looking, and found half the field had already built it. That used to feel like a letdown. Now it's the best part. The pattern I "invented" is written up as a recipe. Anthropic's own tooling does a sharper version. Microsoft has a paper that tunes these instruction files the way you'd train a model. And a directory has scraped 1.6 million of them off GitHub, up from about 790,000 six months ago. My problem wasn't unique. That's the reason the answer is worth keeping. So here's the loop I've started running on purpose: write up the thing I think is clever, sweep the last 30 days to find the dozen people who already hit it, take the best of what they worked out, fold it back into my own setup, and share the result forward. The writing and the searching aren't separate from the building. They're how the building compounds. The flashy demos rewrite their own code against a scoreboard. The quieter, more durable move for anyone actually running this stuff is a routine that keeps better notes, in a file you can read, and borrows the best ideas from everyone else. If your problem feels unique, you probably just haven't swept yet.

• 
  prophe-sys (@prophe_sys) reported 7 minutes ago

  @Cedric_Crispin @firoorg Thank you. I confirm reception. Could the issue be related to the "errors when trying to spend from Spark" that were mentioned in the latest campfire release on GitHub?

• 
  KarmaWarrior (@merovingian_man) reported 9 minutes ago

  @pkay2402 @github The economics of this was always suspect Hw prices have to come down for it to make sense

• 
  Robin Krom (@lakritzator) reported 10 minutes ago

  @wieslawsoltes @at_the_middle I had copilot work on four issues in my open source projects and the monthly credits I gotten with GitHub premium were gone… that was in 2 days where I used to have some credits left at the end of the month 🥲

• 
  Michael Ryerse (@MichaelRyerse) reported 11 minutes ago

  @m2jr Yeah I have them open issues describing the skills they need created or updated. GitHub is not ideal but until there’s a cross ai platform registry for skills works ok.

• 
  Sakura Yuki (@sakurayukiai) reported 12 minutes ago

  The weird part about the rsync drama is that the Claude releases actually have half the historical average bug rate. The buggiest release in history was v3.4.1 with zero AI, but nobody made a 300-comment GitHub issue because there was no LLM to blame.

• 
  Darth (@DarthSZNN) reported 17 minutes ago

  @ReaperDTX @Marskies_ DualShock GitHub, there’s all kinds of videos on it on YouTube. A circularity error of less than 7% is gonna make your sticks feel “stiff” in game and hard to micro adjust.

• 
  m0h (@exploraX_) reported 19 minutes ago

  @0x_lun that’s the right question. my read: the vendor-official servers (stripe, github, supabase) are where the production weight is; real auth, scoped tokens. the 20k-server number is mostly devs experimenting. curious what you’re seeing run in ****?

• 
  MoaddebSepideh-IIvyOnassis55320 (@MoaddebSepideh) reported 21 minutes ago

  When will you release my yahoo account because I gave my passwords to Musk as Doge, and now I am really sorry I did that. I have a problem with Github X. I doubt they will insert the ideology of Quantum as a piece of process for the State Department to know that @SenatorBlinkin. And also @Forbes are both with other business's are in my Yahoo. Account. This is hijacking of the Doge, and I believe the hijacking is personal right now. With the people who have assited me in the power of to be I have much respect for the men in the process of hearing me out. After the Law exam, there will be a Law suit. It will be big, and I am the center of it. I will sue myself based on a discrimination, Men, pregnancy and a lot more issues clamness, you will be in court-I think for sure as will the Men of the orign of the Swiss Alps knowing the promise is not the evasion but it's the clamness not the ***** of Quantum to a degree they have made a big mistake of the plans I have for not allowing me to see what I wrote for LSAT and also for Grossman.

• 
  Ivan Fioravanti ᯅ (@ivanfioravanti) reported 22 minutes ago

  MLX context benchmark of Gemma 4 12B 8bit using mlx-vlm on M5 Max 128GB Raw results: 0.5k pp 1386 tg 38 t/s 13.7GB 1k pp 1594 tg 38 t/s 14.1GB 2k pp 1676 tg 38 t/s 14.1GB 4k pp 1541 tg 37 t/s 14.7GB 8k pp 1455 tg 36 t/s 15.1GB 16k pp 1406 tg 35 t/s 15.7GB 32k pp 935 tg 28 t/s 17.2GB 64k pp 824 tg 27 t/s 20.3GB 128k pp 592 tg 22 t/s 28.1GB I was planning to test MTP too, but there is a problem with 64K+ contexts. Github issue opened.

• 
  umar ibrahim (@imp213x) reported 22 minutes ago

  @github has the worst support system I can ever think of. It’s been 48hrs now since a successful copilot pro+ repayment and I am still restricted to the free plan. To think the very backbone of every developer out there can be this poor in support and feedback system! Terrible!

• 
  Ember2528 (@ember2528) reported 23 minutes ago

  I mean, if we want to look at it from that high of a level then sure, it is reflective of the fact that megacorps like Microsoft act under distorted incentives, are prone to factionalism, and can act more like bureaucracies than sanely run companies if leadership is making poor decisions. Their size means the company can survive serious dysfunction in some areas as long as other parts of the company are able to stay extremely profitable. As far as I'm concerned, the Github Copilot billing getting to the unsustainable point it reached then staying there burning Microsoft's money for so is a symptom of Github being one of the more dysfunctional arms of Microsoft, but one that was beneficial to consumers until they finally corrected it. I bring up the "whataboutisms" of the other parts of Github that are falling apart in real time because those are where that dysfunction is hurting their users. At no point though did I say that these things aren't problems or that no one is at fault though. Of course that is true. I just think you are mistaking corporate incompetence for predatory malice. And even if you are right and making Github a cheap token dispenser was a ploy to drive adoption, so what? We got a ton of cheap tokens out of it. Consumers who are still fine with the current version of it will stay. Consumers who feel they are being ripped off will go to what they see as the next best token dispenser, and businesses will do the same thing with a bit of lag. Have some faith in your fellow man, my dude.

• 
  Shubham (@inlovewithgo) reported 23 minutes ago

  Login with GitHub on cloudflare Login with Cloudflare on GitHub

• 
  Zephyr (@Zephyr_hg) reported 26 minutes ago

  i tested 9 claude connectors in june 2026. kept: 1. gmail (inbox triage + drafted replies) 2. google calendar (auto meeting prep) 3. slack (thread context + voice-matched replies) 4. github (repo state and pr diffs) deleted: 1. notion (read-only and slow) 2. asana (covered by cowork folder) 3. canva (output not there yet) 4. figma (read-only depth limit) 5. linear (duplicated state) 3-5 connectors picked deliberately wins. every-connector-on loses.

• 
  Michael Teka (@z3vios) reported 27 minutes ago

  A-SIDE: Inter System Drift (Tempo: 328 BPM. Key: E minor → constant modulations that never quite resolve. Feel: Frenetic bebop chase with glitchy cloud sound effects baked in.) Chord Changes (Head) | Em7 | Am7 | D7 | G7 | | Cm7 | F7 | Bbm7 | Eb7 | | Abm7 | Db7 | Gbmaj7 | B7 | | Em7 | B7 | Em7 | E7 || (tritone bomb every 8 bars) Lyrics (Discordant & Absurd) Head (shout chorus — full panic mode) Inter System Drift! Inter System Drift! Desktop says yes, but the cloud says “nah, that’s a myth!” Inter System Drift! Inter System Drift! All systems misaligned — we’re in bug-debug shift! Verse 1 Desktop making listings, web facing corrupted, Google Cloud going “what are you talking about, buddy?” Firebase acting clueless, Github CodeQL on a rampage, 190 issues in the PR — welcome to the new age! Google AI Studio: “Lifestyle you ordered is unavailable, wait…” ChatGPT doing audits while I’m losing my state. We’re creating more bug-debug hell with every sync, Inter-system drift got me on the brink! Chorus (vocalese chaos) Drift-drift, drift-drift, align-align, BOOM! Desktop vs Web vs Cloud vs the whole damn room! Workflow contract broken, prescription ignored, Now the whole ecosystem’s singing off-chord! Verse 2New coding practice: keep the actual code aligned, Or face the wrath of every system combined. Upgrade one, upgrade all — no more relative neglect, Or watch the bugs multiply with zero respect! From design creator to full-stack in months, tsk tsk, No one’s coming to save me — I must move quick! Bringing the ecosystem into alignment at last, But the drift keeps laughing in the background blast! Final Shout Inter System Drift! We’re improving… maybe! Hyper-Bebop coping while the servers go crazy! Null-null, try-try, sync-catch, BOOM! Align or die in the inter-system doom! #BugDeBug #HyperBeBop #ModernJazz

• 
  AIDegen (@nrsvv11) reported 27 minutes ago

  A Chinese livestreamer in Shenzhen makes $15,000 a day on TikTok. His channel is in the top 50 of its category. An AI agent runs it end to end. He posted his setup on Weibo last week. Two vertical TVs playing pre recorded battle footage. Three phones on stands aimed at the TVs. A wide monitor on the right. Shelves stocked with tactical gear behind him. Bro pause at 0:12. Look at the second monitor. The ultrawide on the right. That spreadsheet is not his sales tracker. That is an AI agent's decision log. The agent picks the battle scenes from a Chinese video model. It decides which tactical product to push every 90 seconds. It writes the script the host reads off the third phone. The host is in frame because Chinese livestream commerce law says he has to be. Someone zoomed the spreadsheet. The columns were not product SKUs. They were prompt IDs. Someone matched the timestamps to product push events. Every push lined up. He had let go his entire team in March. Eighteen people. The studio one floor below his apartment used to be theirs. They still rent it. They open a Discord call every night at nine and watch the livestream together. Six months ago a 14 year old in Shenzhen pushed an AI agent to GitHub. Judges said no real world application. 3,100 forks later. The host had been one of them. He took the post down four hours later. Too late. The clip hit Discord. Then Telegram. Then WeChat. He has been in frame at exactly 9 PM every night for 274 nights straight. He sleeps four hours a night. The agent runs while he sleeps. The law only requires him at 9. The original post had 200,000 views. The zoom on the spreadsheet has 2 million. The TVs are still playing battle footage. The agent is still picking products. The studio one floor below is still open at nine. He wanted to show people his five million dollar a year hustle. He accidentally showed them his job had become standing in frame for one hour a night while eighteen people downstairs watched.

• 
  Mate Gal (@555kindofguy) reported 27 minutes ago

  @survivetheark Guys put game files on github repo and we’ll fix it, you verify it and deploy

• 
  Nguyen LNP (@nguyen_lnp) reported 27 minutes ago

  @obscaries AI Analysis: Practical fit is authorized triage for one target type at a time, like domain or email recon. Before relying on reports, check optional binaries and API keys: the README says missing tools return errors while others keep running. Source: GitHub README

• 
  • (@Weichaus) reported 30 minutes ago

  @argofowl Can they also ban playwright. It’s terrible and so slow in codex. In GitHub copilot with Opus it works amazingly well but for some reason in codex with GPT-5.5 it’s so bad and useless. Wish I could force the model to just to browser verification but that is also slow

• 
  Calm Before the Storm (@DuskMog) reported 30 minutes ago

  @github Anyone else noticing issues with Copilot PR review? Copilot encountered an error and was unable to review this pull request. You can try again by re-requesting a review. Checking the verbose logs, it looks like it’s missing the detect-libc module for Node...

• 
  Chelm's Deep (@ChelmsDeep) reported 32 minutes ago

  @plainionist @PaulGugAI This actually works ridiculously well. Was having problems with recurring errors and debug loops. I harvested information from some github repos built in the same stack, added a skill to read the knowledge base and search the repos, fixed 12 issues on the first turn.

• 
  MONKISM (@TheUrbanMonk321) reported 36 minutes ago

  Um, I basically turned the blockchain into my github repository... I NEVER understood Github. Apparently I built mine into Smart Contracts. It's pretty neat and games take virtual zero memory. Just need a server to connect ****. Ya'll got 6 MAC mini's to make an animation. I got a broken laptop and built an infinite Universe Engine.

• 
  Julian Goldie SEO (@JulianGoldieSEO) reported 39 minutes ago

  𝗧𝗵𝗲𝗿𝗲'𝘀 𝗮 𝗳𝗿𝗲𝗲 𝘁𝗼𝗼𝗹 𝘁𝗵𝗮𝘁 𝗰𝘂𝘁𝘀 𝘆𝗼𝘂𝗿 𝗔𝗜 𝘁𝗼𝗸𝗲𝗻 𝘂𝘀𝗲 𝗯𝘆 𝟲𝟬 𝘁𝗼 𝟵𝟱 𝗽𝗲𝗿𝗰𝗲𝗻𝘁. Before your agent answers, it reads a mountain of text first. Every word is a token, and tokens cost you money. The more powerful the agent, the more it reads. This free tool is called Headroom. It squashes all that text down without losing the meaning. Same answers, but a fraction of the reading. In one test it crushed 10,000 words to 1,260 and found the same error. Nothing gets deleted. You can always unzip the full thing. You install it by pasting one GitHub link into your agent. Want the setup? DM me.

• 
  Kleber Tiko (@klebertiko) reported 40 minutes ago

  @mattpocockuk I used yours with one good rule...every agent and context window must avoid hit 40%. If needed run /handoff with the summary and tracer-bullet tasks to next session. So i can run /clear and startover next tasks. My tracer bullet use github mcp server to create issues to track.

• 
  Swayam (@DevSwayam) reported 45 minutes ago

  @MicahZoltu @ChanniGreenwall i am not saying its same but an AI could easily use this github issue to find this vulnerability

• 
  AIDegen (@nrsvv11) reported 46 minutes ago

  A Chinese developer posted a 41 second video on Bilibili showing the dashboard for his one person company. 19 autonomous AI agents handled everything 30 human employees used to do. Electricity bill: around 600 dollars a month. He pointed at the grid of cards on his monitor. Researcher. Copywriter. Designer. Developer. Sales. Support. Checker. The system ran 24 hours a day. He approved decisions from his phone on the subway. A laid off mid level manager at a Shenzhen electronics factory recognized the cubicle in the wider shot. He sent one screenshot to a Bilibili tech forum: timestamp 0:23. Pause at 0:23. Ignore the dashboard. Ignore the Dell monitors. Look at the giant union sign on the shelf in the upper right corner of the frame. That sign is not a decoration. That is the entry sign of his old employer's union office. The cubicle in the video was not his apartment. The cubicle was the corner desk in the union office where laid off workers came every morning for free coffee and wifi. He had not built a one person company that replaced 30 employees. He had been one of the 30. The company had laid him off six months earlier when they bought a SaaS platform that did eighty percent of what his department used to do. The 19 AI agents were real. The agents were also a demo. He had been running the system for himself for six months. He had pitched it to his former employer twice. Both times they had passed. The Dell monitors were not his. They belonged to the union steward's desk. He used them every morning from 9 AM to 1 PM because the union office had air conditioning and his apartment did not. The 600 dollars a month electricity bill was real. The electricity was the union office's. The union steward had agreed to let him plug in his local server in exchange for him helping ten other laid off workers polish their resumes. Six months ago a 14 year old in Shenzhen pushed an AI agent to GitHub. Judges said no real world application. 3,100 forks later. The laid off manager had been one of them. He had built the 19 agent system on top of that fork as proof that the company that fired him had been wrong about him. He was not a founder demonstrating the future of one person companies. He was the first laid off middle manager in his city to figure out the only way to win the AI replacement argument was to present yourself as the one who pressed the button. The clip is at 2.1 million views. The zoom on the union sign got another 1.6 million. Chinese tech viewers are still sharing the video. Still nodding. Still asking how to license the system. The system is still running. The cubicle is still at the union office. He still has not heard back from his former employer. He told the internet he had replaced 30 employees. The 30 employees he claimed to have replaced included him.

• 
  Lain on the Blockchain (@CryptoCyberia) reported 50 minutes ago

  @MirketoE I really don't know much about him besides he was one of the biggest streamers (or "Youtubers" which someone corrected me by saying) who has been vibe coding and getting interested in LLM vibe coding and such. He vibe coded an image manipulation program and a front end for LLMs, then open sourced them, then people tried to fix bugs using LLMs and so a flood of proposed fixes were submitted on Github to him, and he doesn't know what he's doing so he accepted over 170 changes to the code base in just 2 days, while no new features were added at all and bugs still persist. It started as a big mess of spaghetti code, and appears to be comically spiraling out of control. Still, it is very based to support FOSS movement and he has a ton of fans, so I am happy to see him making them more familiar with FOSS and Github etc.

• 
  Jan-Felix (@jfschwarz) reported 53 minutes ago

  @DevSwayam That GitHub issue is unrelated. #28 just asks Delay's `executeNextTx` to stop swallowing the revert reason of a failed inner tx, a debugging complaint. The exploit stemmed from a bug in an entirely different function (the `moduleOnly` modifier). Your claim is simply false.

• 
  October Ø (@ralphaelofDeFi) reported 57 minutes ago

  @Trae_ai Pls respond to the problem on the ide GitHub. We can’t login