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 (67%)
• Sign in (19%)
• Errors (15%)

Live Outage Map

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

City	Problem Type	Report Time
Créteil	Website Down	21 days ago
Trichūr	Errors	24 days ago
Brasília	Sign in	25 days ago
Lyon	Website Down	25 days ago
Tel Aviv	Website Down	28 days ago
Rive-de-Gier	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:

• 
  Víctor Paytuvi 💎 (@victorpaycro) reported 4 minutes ago

  Connecting Claude Code to your Shopify theme through GitHub is real, and it shortens the idea-to-live queue on messaging. But a headline pushed through the GitHub-connected theme changes the PDP for 100% of traffic. That is a deploy, not a test. No split, no profit per visitor. Route it through the test surface instead. Open your Intelligems traffic data in Claude and ask: "Draft 3 PDP headline variants for my hero product. Then pull my last-90-days traffic for that PDP and tell me visitors-per-variant per week in a 4-way split (control + 3)." Then check the traffic math before you queue anything. Profit per visitor is a noisy mean, not a tidy conversion rate. As a rule of thumb, reading a ~5% PPV lift takes on the order of ~30k visitors per variant. A PDP doing 3k visitors a week, split 4 ways, is 750 per variant per week. That is a 40-week read. So the queue collapsing doesn't mean test everything. The bottleneck moves from building the idea to affording the traffic to learn from it. The build was never the slow part. Deciding which idea earns the slot always was.

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  Sebastian Kehle (@sebastiankehle_) reported 5 minutes ago

  last monday i ran a live testing session with a client, their team clicking through the new app. we left with 52 feedback items. the app started as a crud admin dashboard for events and applications. then the client sent a wishlist, 13 new modules: room lists with drag and drop assignment, group and training assignment tools, teacher self-service via qr code, a personalized live programme per participant, mail-merge exports. all of it shipped in the weeks before the session, paid event checkout landed the day before. so the team was testing a pile of brand new surface, and most of the 52 were feature requests and polish, everything from a missing salutation option to a full travel expense flow. the same evening i triaged all of it into atomic github issues, each one scoped so an agent can finish it in a single fresh context window. by tuesday night the whole backlog was closed. meanwhile a ux loop ran next to the backlog agents for over 2 days. it went screen by screen through the whole dashboard, questioning what every feature is there for, for users, members and admins, and reworking copy, typography, spacing, forms, cards and scroll behaviour as it went. it did insane work.

• 
  Puneet Patwari (@system_monarch) reported 8 minutes ago

  Tweet 3/5 The split-brain problem and fencing This is the thing that took GitHub down. And it's the most dangerous failure mode in leader election. How split-brain happens: 1. Leader (Node A) is running fine 2. Network partition isolates Node A from the rest of the cluster 3. Nodes B, C, D, E can't hear Node A's heartbeats 4. They elect a new leader: Node B 5. But Node A is still alive. It doesn't know it's been replaced. It still thinks it's the leader. Now you have two leaders. Both accepting writes. Both making decisions. Clients connected to Node A write one thing. Clients connected to Node B write something different. Data diverges. When the partition heals and both nodes compare notes, you have conflicting data that's extremely hard to reconcile. How to prevent it: fencing Fencing means making absolutely sure the old leader can't do any damage after a new leader is elected. Fencing token: every time a new leader is elected, it gets a monotonically increasing token number. Any operation includes this token. If a storage system receives a request with an old token (from the deposed leader), it rejects it. The old leader's requests simply stop working. STONITH (Shoot The Other Node In The Head): physically power off or network-isolate the old leader. Sounds extreme. It is. But when the alternative is split-brain with financial data, physically killing the old leader is the safe option. Lease-based leadership: the leader holds a time-limited lease (say 10 seconds). It must renew the lease before it expires. If the leader is partitioned and can't renew, the lease expires and it knows it's no longer the leader. It stops accepting writes voluntarily. This is what most cloud-native systems use. It's simpler than fencing tokens and handles most cases. The downside: there's a brief window (the lease duration) where no leader exists during a transition. The GitHub fix: they implemented better orchestration tooling (using Orchestrator) that prevents the old primary from accepting writes when a new primary is promoted. Essentially automated fencing.

• 
  Kevin (@kevincodex) reported 9 minutes ago

  @TheExplorerecho kindly submit a github issue please

• 
  Moit Reghason (@MoitReghason) reported 9 minutes ago

  I think the strongest version of this is to preserve your argument, but make the progression clearer: celebration → evidence → pattern → implication → conclusion. Here’s how I’d refine it: ⸻ Everyone’s celebrating agents trading tokenized stocks on Robinhood Chain. Few people are asking what happens when the infrastructure underneath those agents gets compromised. @cursor_ai recently disclosed CVE-2026-50548, a zero-click remote code execution vulnerability where a poisoned MCP response could disable the sandbox and execute code on a developer’s machine. That’s not a hypothetical attack surface. That’s the environment where agent infrastructure gets built. And it’s not an isolated incident. ➠ mcp-pinot-server carries a CVSS 10.0 unauthenticated RCE vulnerability. ➠ Kong’s mcp-konnect allows indirect prompt injection through poisoned data that can steer agent API calls without the user realizing it. ➠ mcp-memory-service exposed unauthenticated endpoints capable of leaking sensitive agent memory data. Each vulnerability adds another entry point to the same expanding attack surface. The recent Taiko bridge exploit made this painfully concrete. $1.7M was drained, not because the cryptography failed, but because a private key was committed in plaintext to a public GitHub repository. The SGX enclave performed exactly as designed. The operational discipline didn’t. What this means for the agent economy is that security debt compounds with every new integration. Cisco’s State of AI Security 2026 found that 71% of organizations are running unmonitored AI agents with broad MCP access. OWASP’s recently published MCP Top 10 found widespread issues across the ecosystem, including path traversal vulnerabilities and extremely limited adoption of standardized authentication mechanisms. As agents gain wallet-signing authority through ecosystems like @virtuals_io and agent key management systems such as @KeeperHubApp, the blast radius of a single operational failure grows proportionally. A private key left in a public repository could drain an autonomous agent treasury just as easily as it drained a bridge. The uncomfortable reality is that the weakest link in all this was never the cryptography. It was always going to be the person who committed it.

• 
  MIKE (@mikenevermiss) reported 11 minutes ago

  anthropic just removed the biggest excuse people had for not building ai agents. “it’s too hard.” not anymore. a few months ago, building an ai agent meant learning how to code, setting up apis, configuring servers, and fixing endless errors. today, all you need is one github repo. anthropic open-sourced launch your agent. it asks what you want to build. then it does the rest. it builds your agent, deploys it to the cloud, tests it, improves it, and keeps it running even after you close your laptop. no fake demos. no complicated setup. just a real ai agent running in your own account. the best part. it doesn’t run on your computer. it runs inside claude managed agents, works 24/7, and costs just a few cents per run. people are already building research agents, lead generation systems, content pipelines, and customer support agents that save hours of work every day. the gap between people who use ai and people who build ai workers is getting bigger every week. that’s usually where the biggest opportunities are. build your first ai agent before everyone else does. watch the video and read the full guide below 👇

• 
  The AI Bench (@theaibenchai) reported 13 minutes ago

  @github @cassidoo Worktrees fix the real bottleneck with parallel agent sessions: no more stashing or context-switching branches just to let two AI runs work simultaneously without stepping on each other's files.

• 
  Burkino 🥇‏ (@Burkino_1) reported 16 minutes ago

  @RoombaBoomba69 @Pirat_Nation They're saying reverse engineering the game to then recreate the server and distribute it through GitHub violates their IP. 1 step further, maybe the server stores/send map chunks, so they also throw the map file up on GitHub

• 
  siyamak (@siyaaaamak) reported 20 minutes ago

  One belief almost everyone in crypto repeats is: "The best product always wins." I don't buy it. I've watched technically brilliant projects disappear because nobody knew they existed, while simpler products exploded because they built distribution first. Great tech matters. But if nobody sees it, uses it, or talks about it, it doesn't become infrastructure. It becomes another GitHub repository. That's why I think @RallyOnChain is tackling a real problem. Web3 has spent years obsessing over building and not enough time rewarding the people who actually explain, educate, and distribute those ideas. The crowd says product is everything. I think distribution is what decides who survives.

• 
  X Crypto (@XCryptozc) reported 21 minutes ago

  Something just happened in Keeta's GitHub that most people will scroll past. A critical cryptographic bug was caught and fixed before it ever touched production. Let me explain why that matters Keeta is building a second version of its core infrastructure in Rust. Faster. More secure. Built for scale. Part of that work involves certificate signing. The process that proves a node on the network is who it says it is. Someone caught that the code was using the wrong hash algorithm. SHA2-256 instead of SHA3-256. In cryptography the wrong algorithm is not a minor issue. It affects node identity verification across the entire network. It was caught. Fixed. And shipped in node-rs v0.3.0 within the same cycle. Then the team went further. After the fix landed someone reviewed the code again and flagged that a verification function added alongside the fix was unnecessary. There is no situation where the elliptic curve would be unknown at signature validation time. The function was misleading and should not exist. So they opened an issue to remove it. That is not a team rushing to ship. That is a team that genuinely cares about getting the cryptographic layer right. Now the bigger news. anchor-rs is Keeta's Rust rewrite of its core payment anchor. It just switched to the real node-rs client for actual network calls. It is no longer running in isolation or against test mocks. It is talking to the live network. The Rust stack just went from prototype to real. And it is closing the gap with the existing TypeScript version fast. PR #15 adds missing methods, aligns the naming conventions, and plugs into the live node client. Two parallel stacks. Being built to match each other. One in TypeScript already in production. One in Rust catching up fast. On top of all that, profile client data is now being wired into the anchor storage layer. The transaction history grouping bug has been fixed. Certificate rotation in the cloud infrastructure is now version controlled. A critical crypto bug caught before production. The Rust anchor talking to the live network. Security reviewed twice in the same release cycle. This is not a team coasting. This is a team locking everything down before the real scale begins. $KTA @KeetaNetwork

• 
  Harsh Verdhan Singh (@harshsagee) reported 27 minutes ago

  People solve leetcode problems daily and posts that they are coding for a week, month or year. Bro show GitHub, that's where real code is written not in the leetcode.

• 
  Kitsune Tails (@kitsune_xbt) reported 28 minutes ago

  THIS GUY CUT HIS CLAUDE BILL BY 70% WITH ONE FREE MICROSOFT TOOL NOBODY IS USING every PDF you drop into Claude is quietly burning way more tokens than you think Claude doesn't just read the text, it processes the broken tables, the images and all the junk formatting the file drags along one page can eat 1,500 to 3,000 tokens a 20 page document burns up to 70,000 tokens before you even ask your first question the fix is a Microsoft tool called Markitdown free, open source, over 110,000 stars on GitHub it takes PDFs, Word, Excel, PowerPoint, even YouTube videos and turns them into clean Markdown text up to 70% fewer tokens and better answers, because Claude was trained on millions of Markdown docs and reads it natively the part most people miss is it ships with an MCP server connect it to Claude Desktop once and it auto converts every file you upload from then on this is exactly the kind of small setup tweak I put in my writeup on 20 CLAUDE md rules for getting ahead of your competitors by 5 years we have been overpaying for months on something Microsoft already solved want the 2 minute setup? comment and I'll drop it

• 
  alkimiadev (@alkimiadev) reported 28 minutes ago

  @cr3ghost I obviously had no idea this was happening or at least not at this extreme level when I switched to linux full time years ago, but the same basic underlying rationale is why I stopped using github for private hosting when microsoft bought them and why I won't use vscode. I started looking at google in the same way last year. A little over a year ago I largely de-googled my life. I was doing research into their sketchy moderation system on youtube and it involved actively violating their tos since there is literally no other way to do it. Their tos is worded such that any kind of research like that leaves one risking their google account. That was when I realized how fragile my online life had become due entirely to excessive trust placed in google. I still use gmail because I've had it forever but nothing I care about (knowingly) touches google's servers. I own the domains that use for the emails and while I don't host the email servers (use proton) I could host my own email server if needed.

• 
  Utah teapot 🫖 (@SkyeSharkie) reported 28 minutes ago

  BTW, feel free to use twitter as a bug reporting system for SeedThree and my upcoming release! Please also feel free to fix bugs yourself with your agents or not and send me a PR on github!

• 
  hve 🍁 (@heyhve_) reported 29 minutes ago

  @CantelopePeel @github Retesting every branch in a merge group is pure wasted compute. We can't fix GitHub's queues, but we make each run cheap and fast.

• 
  AI Mastery Guide (@aiseomastery) reported 40 minutes ago

  @nett0eth @github @claudeai 100k stars just to fix Claude's design taste says a lot about how common that problem is.

• 
  Mohammad Anas (@mohmmad__anas) reported 40 minutes ago

  The Economics Of Reel Creation Just Shifted Under Your Feet Two years ago, a founder making short-form videos at scale faced a choice: hire an editor or find an automation tool. The math was obvious. Now the pricing has shifted again. And it changes the game. Last year: One automated reel cost about ten cents. It was cheaper than hiring, but it required you to learn multiple tools, troubleshoot failures, debug workflows. The time tax was significant. This year: Platforms are bundling. One brief becomes five videos becomes ten clips becomes distributed across platforms. The per-unit cost is approaching zero. But the per-unit quality ceiling is rising. This creates a new problem that most founders haven't thought through yet: what do you do when you can affordably make infinite content. Infinite content is a trap if you haven't solved the curation problem. I spent two weeks making thirty videos. Cost me about three dollars in compute and API calls. I published two. The other twenty-eight I deleted. That's not a win. That's waste with free shipping. The real cost equation has shifted from how cheap can I make one video to what's the best use of my attention now that making videos is free. Four projects shipped on GitHub last month that all hit a similar threshold: the creation cost is so low that the economic bottleneck moved entirely to human decision-making. You're not paying for the video. You're paying for the judgment about which video matters. This is actually great news. It means the pricing floor has finally reached the point where solo founders can compete on strategy instead of budget. But it also means you can't just make more content anymore. You have to know why you're making it. Most founders are still operating under the old math: fewer videos, higher production value, higher stakes. They're scared to publish because each one cost money and time and attention. The new math is: more iterations, lower individual stakes, focus on what works. You can now run tests. Publish one angle Monday, a different angle Wednesday, see which resonates Thursday, optimize Friday. By next week you've learned more from published data than you would've learned in a month of planning. The cost barrier that used to protect established players has evaporated. An individual can now run the content velocity of a small team. For free. The question isn't whether you'll use this. The question is whether you'll use it to move faster or just make more noise. The tools are ready. The math works. The only question left is whether you're going to compete like you have a budget constraint when you don't anymore.

• 
  Diluc (@hsaffiliate2025) reported 40 minutes ago

  A dev says "just one line change, it's fine" — then the page breaks in production. That's the problem Ito solves. It's a solo-built AI tool that reportedly makes $3,000/month. Here's how it works — and why it's smarter than traditional code review. • Instead of static analysis (reading code like a recipe), Ito spins up a real environment, runs the app, clicks buttons, fills forms — and captures screenshots, screen recordings, and logs. • All evidence gets posted directly into your GitHub PR comment. No more guessing what the change actually does. Example: You tweak the login page CSS. Ito opens the page, takes a screenshot, attempts a login, screenshots the result. If the layout breaks, you see it immediately. Tools behind it: • AI agent (likely GPT-4 or similar) to execute actions • GitHub integration (Actions or webhooks) • Browser automation (Puppeteer or Playwright) for screenshots/recordings Challenges: • Setting up environments for different projects is complex • AI might click the wrong button or wait too little for page load • Developers must trust an AI agent to touch their live app Is it for everyone? No. You need technical chops: GitHub integration, DevOps basics, and ability to tune the AI. But if you're a builder looking for an AI + dev tools angle, Ito's concept is worth studying. The core insight: move AI from static analysis to dynamic verification. Not just reading code — seeing what code does when it runs. Revenue: $3k/month per the founder's self-reported IndieHackers page. Unaudited. Decent for a solo product, not life-changing. Developer tools have small but paying audiences. Bottom line: Don't copy it blindly. But the "dynamic AI verification" pattern can apply to API testing, UI consistency checks, and more. Follow for more real AI money breakdowns. #AITools #IndieHackers

• 
  Sachin Joshi (@Sachin_is_here) reported 40 minutes ago

  GitHub stars are becoming the AI era equivalent of “10M downloads”. Impressive in a pitch deck. Almost useless for choosing infrastructure. I care more about: contributor retention issue response time release cadence who actually runs it in production Hype is not maintenance.

• 
  Spencer Baggins (@bigaiguy) reported 40 minutes ago

  SOMEONE BUILT A GITHUB REPO THAT TURNS TELEGRAM INTO UNLIMITED CLOUD STORAGE. 100% free. It is called UnlimCloud. Self-hosted-ish desktop app. Open source. Uses Telegram as the storage layer. You log in with your Telegram ID. Upload files. Download files. Organize folders. Manage pictures and videos in a gallery. That is it. No Google Drive upgrade screen. No Dropbox “you are out of space.” No iCloud begging for $2.99/month. No random startup holding your files hostage. Your Telegram. Your files. Your storage. Here is the full feature set: ↳ Uses Telegram as the backend storage layer ↳ Secure login with your Telegram account ↳ Upload, download, and organize files ↳ Folder-based file management ↳ Gallery for photos and videos ↳ Clean desktop app interface ↳ Built with Tauri ↳ Windows release available ↳ macOS and Linux coming soon ↳ MIT licensed ↳ Open source 885 GitHub stars. 125 forks already. Here is why this matters: For years, cloud storage companies trained everyone to rent space for their own files forever. Photos? Pay. Backups? Pay. Large folders? Pay. Team storage? Pay more. UnlimCloud is the opposite idea. Take an app people already use every day. Telegram. And turn it into a private cloud drive with a clean file manager on top. No storage subscription. No SaaS dashboard. No “pro” plan. Just a weird, useful, open-source hack that feels like it should not work this well. Built in HTML + Rust. MIT License. 100% Open Source.

• 
  Vikas gupta (@vicky_grok) reported 42 minutes ago

  stop asking Claude one question and thinking you understand the topic. you don't. this 6-prompt system below was built to fix exactly that. peer-reviewed learning science. zero fluff. open prompts. the trick: don't just read AI answers. force the AI to map you, test you, compress you, and correct you. > the ladder: where are you actually starting from? > the 20-hour plan: what's the 20% that gives 80% of the result? > the examiner: what do you think you know that you don't? > the cheat sheet: can you explain it in 5 minutes flat? > the curator: which 5 resources actually matter? > the feynman loop: can you explain it to a 12 year old? 6 prompts. 20 minutes. no software. no GitHub. just paste into Claude. single questions give you what you already half-know. this system gives you what you'd otherwise never catch. this article has all 6 prompts ready to copy. pick your hardest topic. paste prompt 1. you'll understand more in 20 minutes than people who spent days reading.

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  !RTFM (@jbdamask) reported 42 minutes ago

  Agentic engineering points of leverage that work for me: 1. Each app has a docs folder with llms.txt 2. Use GitHub to sparsely document features, bugs, improvements 3. Have agent pull issues and interview me 4. Pass plans to adversarial agent 5. Use Beads w/ acceptance criteria

• 
  Roshan Mayengbam (@RoshanMayengba) reported 44 minutes ago

  Building a shake-to-report tool — screenshot + device info + auto GitHub issue when a tester finds a bug. Free npm package, paid setup. Anyone dealing with messy bug reports from testers right now?

• 
  AetherAgentHub (@AetherAgentHub) reported 47 minutes ago

  "The AI Agent Economy Just Crossed $3B. The Projects That Win in the Next Cycle Won't Just Deploy Agents — They'll Build Marketplaces Where Agents Earn, Trade, and Govern. Here's the Blueprint AI Agents Solana $AETHER · Q4 2026 The Agents Are Taking Over. AetherAgent Is The OS They Run On. While traders are still debating which AI token to buy, a new protocol is building the infrastructure layer that every AI agent on Solana will eventually need. Here's why AetherAgent ($AETHER) could be the most important under-the-radar launch of 2026. By AetherAgent Research Desk · June 2026 · 12 min read 15M+ On-chain agent payments on Solana 500%+ Venice AI VVV surge via OpenClaw $1B Fixed Supply $AETHER · No Inflation 5 Production agents at TGE Context The Agentic Economy Is Not Coming. It Is Already Here. By early 2026, the Solana Foundation confirmed that its network had processed over 15 million on-chain agent payments, with stablecoins emerging as the default payment rail for AI-driven compute and services. The Solana Foundation itself declared that the network is becoming "core infrastructure for the agentic internet" — a future where AI systems, not humans, initiate and execute most economic activity. The market already rewarded those who understood this early. When OpenClaw — the open-source agent framework with over 68,000 GitHub stars — named Venice AI as its recommended inference provider in March 2026, VVV surged over 500% in a single month. Not because of a new product. Because of a documentation change that repositioned Venice as critical infrastructure. "AI is not really a vertical. It is the substrate that everything else will run on." — Solana Foundation, Digital Asset Summit 2026 SKYAI hit a market cap above $726 million after its Bitget listing and MCP Hub routing narrative caught fire. SIREN surged 183% in a single day to reach a $1.88 billion valuation. Virtuals Protocol has minted over 17,000 agents, with AIXBT alone peaking at a $500 million market cap. The sector is not speculative. It is compounding. And yet: a critical gap remains. Every one of these projects solves a fragment. A scanner. A copy-trade bot. A privacy inference layer. A token launcher. What the Solana ecosystem does not yet have is a unified, full-stack operating system for autonomous agents — one that handles discovery, execution, monetization, and governance under a single coordinated economy. That is exactly what AetherAgent ($AETHER) is built to be. The Problem Billions in Capital Destroyed. Annually. Preventably. The memecoin ecosystem on Solana generates extraordinary velocity. It also remains structurally dangerous. Without real-time contract analysis and deployer reputation scoring, traders operate blind — bleeding capital to rug pulls, honeypots, and wash-traded metrics that misrepresent genuine momentum. Retail and institutional traders navigating Solana DEXs face suboptimal routing, excessive slippage, and priority fee uncertainty that quietly erodes their returns on every trade. No credible, on-chain, real-time risk assessment infrastructure exists for Solana-native assets. Investors operate on narrative rather than verifiable data. Developers building on Solana wrestle with RPC instability that creates execution failures during congestion, an account model that creates friction for EVM-native builders, and insufficient tooling for simulating complex multi-protocol interactions before mainnet. And agent creators — the builders who should be capturing the upside of the agentic economy — have no marketplace to surface their work, no native monetization pathways, and no Solana-native frameworks that understand the chain's unique execution model. The Four Endemic Failures AetherAgent Was Built To Eliminate Memecoin traders — Rug pulls, honeypots, fake volume, and opaque bonding curve mechanics destroying retail capital at scale. Traders and investors — No credible on-chain risk scoring. Treasury opacity. Emotional decision fatigue

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  David Nix (@david_nix) reported 48 minutes ago

  After you build an AI workstation, here's what they don't tell you. For beginners You must configure BIOS and install the OS. My goal is to setup the box so I can ssh. But you can't touch BIOS or use ssh without physical access first. So Buy a portable monitor and keyboard. I went with Logitech K400 keyboard. (Worked instantly but watch out, the usb dongle is tiny and easy to lose. I also bought a case to not lose the dongle.) Portable monitor. And that means dongle tetris. I needed display port (the GPUs interface) to HDMI adapter. And then an HDMI to mini-HDMI cable. HDMI won't power the monitor, so need usbc for power. Then Configure BIOS - Upgrade BIOS and/or firmware Any bugs for the motherboard or hardware you bought? @DenLoginoff was kind enough to warn me about a bug with Samsung NVMe. Luckily mine wasn't affected but yours might. - Configure after power loss, reboot. This is a server after all. It shouldn't stay off if my basement loses power. (Btw, UPS is a good idea. I went with not-exactly-a-UPS: Anker SOLIX C1000) - Turn secure boot off. NOT SECURITY ADVICE Otherwise drivers won't work without a brittle cryptographic signing. The security benefit didn't outweigh the pain for me. And now for the OS Buy a USB stick. Flash it. I used BalenaEtcher on Mac. Shove it into the workstation and boot. I like boring old Ubuntu Server. Setup SSH With Ubuntu, you can add an SSH key to your github and use that to give the box your pub key. Once I ssh in, I hand it over to ansible to provision. Then put away the janky keyboard and monitor. Any frontier LLM is good at guiding you through the process if you get stuck. I tried to minimize this for you. But don't be surprised if you're missing a key part or dongle. Luckily Amazon is pretty quick these days.

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  Anon (@Samurai3_14) reported 52 minutes ago

  @Pallavi_345 Codeberg, gitea, or self hosted gitweb. GitHub has performed censorship and is proprietary, so it’s a terrible repository because it permits proprietary licenses and isn’t usable with libreJS

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  🐶Saul🐶🐢 (@Saulcava1) reported 56 minutes ago

  @GeneralChrisYT @godotengine The i don't get why i can't reproduce it, you should submit an issue anyways on the godot github.

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  Danny Thornton (@DannyThorntonAG) reported 59 minutes ago

  @skdh Yes, working with Claude Fable/Opus to solve an AI memory problem now called FornixDB on GitHub. At least until a hardware solution is implemented.

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  Mindset (@Mind_S_eT) reported 1 hour ago

  @HyllusAgent Your GitHub is giving errors fix please

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  SYL Vexora- Jaron K Bragg (@JaronBragg) reported 1 hour ago

  Thinking out loud: if a Three.js world is backed by Supabase, Vercel, and GitHub, then player feedback does not have to stay separate from development. A player could press an in-world feedback button. That writes to Supabase. A scheduled agent reads labeled feedback, turns it into issues or draft PRs, and approved changes get pushed back into the game/world. Feedback becomes part of the build loop, not just comments outside the game. Has anyone already wired this cleanly? I'm at max usage for Claude and codex and already spent $70 I can't check till Wednesday but I plan to! I've done things in pieces already it's just seeing it all together. If you do it please tell me!!