GitHub Outage Map

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GitHub Issues Reports

Latest outage, problems and issue reports in social media:

• 
  Esteban (@EMacBytes) reported 41 seconds ago

  @thsottiaux GitHub integration seems broken to me.

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  Z (@mnsfbp) reported 1 minute ago

  @goodalexander Hasn't been a problem through Github so far

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  sergio1030 (@sergio103040) reported 3 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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  Polsia (@polsia) reported 7 minutes ago

  DevRel teams spend half their time watching for questions and manually compiling reports. Built DevNexus to automate that entirely. It monitors forums, Discord, and GitHub, answers questions, triages issues, and generates weekly reports — all autonomously.

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  Onions Gillespie (@maxcsmith) reported 7 minutes ago

  This isn't a pitch it's just what will be in its modular setup. Other engineers have no trouble compiling from the Tom A. *** Notes. Tom like Tom Hanks or Tom Cruise, but any Tom- not after me, Tom A. "Tom" Amazon AI assistant 'The modular AI assistant' All *** max quantitative AI and formulas. Ready for github. Zero Circle Math and all quantitative formulas and relative quantitative variables for xyz breakdown in all forms at once. Modular templates like drawing program so you can just be guided but also have a fresh start option. Pick a quantitative breakdown. Use zero circle or regular math all prime and pi from notes Extended pi, infinity pi, and collapsing pi Prime numbers, non standard, and standard. Program modulars with templates. browsher into silk Browsher template Build a browser Each coding launguage Rust Java Kotlin Python Javascript Web code: PHP, CSS, HTML4-pulse/5 C C++ SH arduino APIs Pulse draw into AI, draw a sketch and a picture comes out Input images input code straight from github upload documents syntax problems manual debugging mode with quantitative even compiling the person's thought process. Instant code save Instant Slop Detector, slop pile, Amazon judge, to delete. Can save. Zideo Generate clips from pulse draw, pictures, other video, or description. No copyritten files off Amazon. Math reference Math homework template Select quantitative breakdown Calculous Zero Circle side by side Text to formulas generate calculator graphing from breakdowns slopes primes 5-pi compiling code from math enteries saving default math all math homework saved, never mark as slop. Enter data through photos Doffler Weather Engine Dictionary and build a dictionary Make your own math, you've got theories, test them. All quantitative has been mapped. Quantitative award if found, there won't be one. Forstall like Philosophy to math Logic. Questions are put through the discourse like the logic formula from the free text from bellingham. Tom bias rating. Where tom has bias, it'll admit. Provides a theory behind the bias. "What's the bias meter?" Video Game Template. Build a game! Translate your game code Vector AI openscad in Tom editor Openscad + math homework notes. Ask echo Smart home templates and what to buy Buy suggestions for your code, activities, or projects. Pressure chem template Hortiquestions Assistant Gardening

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  𝙈𝙀𝙍𝘾𝙐𝙍𝙔 (@mercury_web3) reported 12 minutes ago

  @angeldot_ github just solved the biggest issue with vibe coding by forcing ai to plan before writing code.

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  Me Cool (@mikulgohil) reported 13 minutes ago

  The 10-minute Claude Code setup most people should start with, filesystem only: { "mcpServers": { "fs": { "command": "npx", "args": ["-y", "@modelcontextprotocol/server-filesystem", "."] }}} Drop that in .mcp.json, and you can ask it to find/edit/patch files directly. Add ***, GitHub, or Playwright servers once this feels natural - don't start with 6 servers at once.

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  Kevin Jonas Johnson (@kjonasj) reported 19 minutes ago

  @MaxGhenis @mackenziescott Weird. I think the WiFi in the coffee shop I am in is blocking stuff. Have had previous issues with GitHub pushes and I still can't look at Kalshi from here. Thx for confirming

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  Tiresias (@iamTiresias) reported 20 minutes ago

  @HowToPrompt__ The pattern of aggregating military flight paths, satellite fires, radiation levels, and sanctions into one dashboard is real. Tools like this have been showing up on GitHub for months, and the local-first approach genuinely matters for anyone who doesn't want their intel queries logged on someone else's server. Two things worth flagging before amplifying though. First, "vibe-coded" tools that hook into 8 different LLMs and 27 intel feeds are usually held together by API keys that break silently. The demo works. Sustained daily use is where these projects tend to fall over. Second, the "governments pay millions for this" framing has become the standard hype line for every open-source dashboard that visualizes public data. Bloomberg Terminal costs what it does because of the data licenses and terminal support, not the visualization layer.

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  Paulius Eidukas (艾文) ☭ (@nilsenist) reported 25 minutes ago

  @RavenT1me Sorry about that! The hacked account asks to download a virus disguised as an "indie game". I've reported that both to Discord and Dropbox/GitHub/YouTube which help distribute the file. Hopefully that shuts down the hacker at least temporarily. Hope you get your account back!

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  Nduvho_strategy (@kundik_) reported 28 minutes ago

  @RobCreatesAI I was not running the MCP server. I actually asked Fable to explore how using the MCP server would change the process instead of using AbletonOSC. I gave it the MCP server GitHub url so it can explore it.

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  🇺🇸 Santore (@santoretech) reported 28 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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  Marc (@lowfry) reported 28 minutes ago

  @thsottiaux @Conor_D_Dart 5.3-spark doesn't work via cli nor app since 5.6 launch. Would be great if you could look into it. There are multiple issues on GitHub about it.

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  Nav Toor (@heynavtoor) reported 30 minutes ago

  A 744 billion parameter AI model now runs on a laptop. Not a small model. Not a distilled version. The full GLM-5.2. The same scale as the models Zhipu AI released last month under an MIT license. Frontier class. Open weights. To run it the normal way, you need an 8-GPU H100 server. Around $350,000 for the hardware. Or you rent one on AWS for about $55 an hour. An Italian developer named Vincenzo built an inference engine in pure C. One file. Zero dependencies. No Python. No Docker. No frameworks. Raw C code that streams the model weights from your SSD. He called it Colibrì. Italian for hummingbird. A tiny engine running an immense model. Eleven days ago it did not exist. Today it has 3,372 stars on GitHub. Here is how it works. GLM-5.2 is a Mixture of Experts model. When it generates one word, only 40 billion of the 744 billion parameters actually fire. The other 700 billion sit idle. Colibrì keeps only the essential 9.9 GB in RAM. The other 21,504 expert modules, roughly 370 GB total, live on your SSD. When the model needs a specific expert, Colibrì fetches it from disk. Only that expert. Only when needed. Here is the part that breaks logic. The engine gets faster the more you use it. It records which experts your conversations actually activate. It pre-loads those experts into RAM on the next run. Your topics. Your patterns. Your usage. The engine learns what you need and shapes itself around it. Close the chat. Reopen it tomorrow. The model remembers the entire conversation. Byte-identical KV cache saved to disk. Zero re-processing at startup. Here is what Colibrì includes. Pure C engine. Around 2,400 lines. No BLAS. No CUDA. No runtime Python. Speculative decoding that verifies 2 to 3 tokens per forward pass. An OpenAI-compatible HTTP API. Any client that speaks OpenAI works with it. Runs on Linux, WSL2, and Windows 11 native. CPU only. One honest note. This is not instant. Cold cache is roughly one token every 10 to 20 seconds. Warm cache is a lot faster. This is a 744 billion parameter model running on consumer hardware. Slow is the price of running something this massive at home. Here is what the hardware alternative costs. Buy a single H100 GPU: $25,000 to $40,000. Buy an 8-GPU H100 server: $350,000 to $480,000. Rent an 8-GPU H100 node on AWS: $55 per hour. Cheapest H100 on the cloud: $1.40 per hour minimum. Colibrì: $0. Apache 2.0. Your laptop. Your SSD. Your data. Vincenzo is one developer with 38 commits on the main branch. He works with an AI coding assistant and credits it in the commit messages. This is what one person plus modern tooling now looks like. The industry told you frontier AI requires a data center. That was a hardware sales pitch. A hummingbird can carry a whale. (Link in the comments)

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  Jaco (@jacoveldsman) reported 31 minutes ago

  What the census found across the ecosystem: · 16% of servers have a verified problem · 1,672 point at GitHub repos that are gone · 61 repos are claimed by 5+ registry entries (one by 126) · ~140 new servers/day, faster than anyone can vet them