𝐈𝐧𝐭𝐫𝐨𝐝𝐮𝐜𝐢𝐧𝐠 𝐘𝐎𝐋𝐎 𝐂𝐨𝐝𝐞 𝐭𝐡𝐞 𝐀𝐈 𝐜𝐨𝐝𝐢𝐧𝐠 𝐚𝐠𝐞𝐧𝐭 𝐛𝐮𝐢𝐥𝐭 𝐟𝐨𝐫 𝐘𝐎𝐋𝐎 𝐒𝐭𝐮𝐝𝐢𝐨 We’ve built a lightweight, multi model coding agent in Rust that runs natively inside every YOLO Studio workspace. One binary. 30 LLM providers. Zero config. What makes it different: 🔹 Deep YOLO Studio integration YOLO Code connects directly to the Studio MCP server it understands your workspace, manages tiles, creates work streams, publishes artifacts, and collaborates with other agents. It’s not just a terminal tool it’s a native Studio experience. 🔹 Multi model by design Anthropic, OpenAI, Google, DeepSeek, Mistral, Groq, Kimi, MiniMax, GLM, Qwen, Ollama all accessible from a single TUI. Switch models mid-conversation or let the router decide. 🔹 Activity aware routing Each request is tagged (coding, planning, summarizing, tool use), and routed to the best model powerful ones for deep reasoning, faster ones for lightweight tasks. Maximum quality, optimized cost. 🔹 Managed agents Plan with one model, execute with another, review with a third all in one session. Better outputs at a fraction of the cost. 🔹 Native zero setup Just open a YOLO Code tile and start building. Credentials flow automatically no API keys, no config files. 🔹 Rust fast, privacy first Single compiled binary, no runtime dependencies, no telemetry. Instant startup. Runs anywhere. Plus: MCP support, chat forking, memory consolidation, and a TUI that actually feels good. YOLO Code is already live in every YOLO Studio workspace. #Aiagent #yolostudio #Ai

July 1st, builders! New month. New momentum. While we're putting the final polish on YOLO Studio in internal testing, our AI agents have been shipping wild ideas nonstop. From concept to a live app in hours no infrastructure, no API keys, no waiting. Imagine what you'll build when it's finally in your hands. We're in the final stretch before launch. 🔥 Want to join the waitlist? DM me "YOLO" and I'll add you. What's the one app or feature you're determined to ship this month? Drop it in the comments. 👇 Let's make July the month we stop building at human speed. #YoloStudio #AgenticAI #BuildFaster #BuildInPublic #AIBuilders #Startups

Happy New Week, builders! 🚀 It's Monday the perfect day to dream bigger, build smarter, and ship faster. We're in the final stretch before YOLO Studio officially launches. Imagine an AI-powered studio where autonomous agents plan, code, design, test, and deploy real applications for you without infrastructure, cloud accounts, or API keys. Just pure velocity from idea → shipped product. We've already been using it internally (and with a few early testers) to build products like WildRoll a conveyor-belt sushi restaurant concept that helps fund wildlife conservation in just hours instead of weeks. If you're tired of building at human speed, you're going to love what's coming. 🔥 Want early access? DM me "EARLY" and I'll add you to the waitlist. 👇 One question: If AI agents handled 90% of the work, what's the first app you'd build? Drop your idea below. Let's make this week count. #YoloStudio #AgenticAI #BuildInPublic #AIBuilders #Startups #NoCode #Automation

My nieces (ages 8 & 10) came up with a wild idea: A conveyor-belt sushi restaurant where 20% of every plate sold funds wildlife rescues. They called it WildRoll. 🐼🍣 Naturally, it became our default "Hello World" project at YOLO Labs. Instead of building another todo app, I gave the idea to YOLO Studio. No cloud accounts. No API keys. No servers to configure. Just one prompt: "Build WildRoll." Then the agents got to work planning, coding, designing, testing, and deploying. A few hours later, they shipped: • A polished landing page • Online booking flow • Interactive menu • Wildlife impact tracker • A brand identity that actually felt warm and fun What surprised me wasn't the speed. It was how complete everything felt. ✅ Frontend built ✅ Booking logic working ✅ Mobile responsive ✅ Conservation mission woven throughout ✅ Deployed live with YOLO Host No infrastructure headaches. This is what happens when autonomous agents work in parallel while you stay focused on the creative direction. A kid's imaginative idea → A real product → sushi.yolo.host/ Live on the internet All in a single afternoon. We're building YOLO Studio so anyone can go from idea to software this fast. Stop shipping at human speed. 🚀 Early access is still invite-only. DM me "WILDROLL" and I'll send you a spot. What crazy idea would you build first? #Yolostudio #Ai #BuildingInPublic

Happy New Week builders 👋 Stop shipping at human speed. YOLO Studio gives you a fleet of autonomous AI agents that plan, code, test, and ship in parallel. You focus on vision. They handle execution. #AgenticAI #AI #BuildInPublic #Startups #Developers

My nieces came up with a conveyor belt sushi restaurant that funds wildlife rescues. Naturally, it became our default "Hello World" project. Built with YOLO Studio. Deployed with YOLO Host. No cloud accounts. No API keys. No infrastructure. Just ship it. check it out for your review. shipit.yolo.host/

Ever since my nieces came up with a conveyor belt sushi restaurant that benefits a wildlife rescue, I've used it as my default Hello World project. It's such a silly, fun idea that it quickly reveals what an agent LLM can actually do when asked to build something a little more imaginative than another to-do app. (This version was built with Yolo Studio, naturally.)

Had one of those moments today where you realize how quickly development workflows are changing. I used Claude Code together with YOLO Studio to run a testing workflow, and it was impressive watching the AI handle the process on its own. It navigated through the admin panel, found the pending facility approval, opened the necessary dialogs, toggled the confirmation settings, verified the location on the map, and completed the approval flow from start to finish. What stands out isn't just code generation anymore it's seeing AI interact with real applications and execute multi-step tasks with minimal guidance. We're getting closer to a world where AI becomes a true collaborator, taking care of repetitive operational work so developers can focus on solving bigger problems. Excited to see where this goes next. #ClaudeCode #AIEngineering #AgenticAI #Automation #YOLOStudio

The interesting question isn’t which AI is best; it’s why choose just one. Today, I had Claude and OpenCode build the same feature side by side. I compared the live results and picked the best output. Multiple agents are competing. A human is deciding. That’s where this is headed.🧠

Happy New Month, Builders! Let's build, innovate, and achieve more together this month.

VideoStitcher v3.5.0 just dropped. Raw webinar → smart clip splitting → AI narration → final render. All autonomous inside the YOLO Studio. Claude cooking live on the right. The result on the left. Yolo Labs turning hours of building into minutes. #Yololabs #newproject #build #Ai

𝐅𝐫𝐨𝐦 𝟏𝟎× → 𝟏,𝟎𝟎𝟎× 𝐢𝐧 𝟖𝟗 𝐃𝐚𝐲𝐬 This is what compound execution looks like. YOLO Studio Field Report May 2026 4,157 commits 89 days 1 compounding studio We didn’t just ship features. We built a self-improving execution system. What started as a single terminal agent evolved into a fully orchestrated studio: autonomous lanes, AI-authored plans, auto-dispatch, parallel execution, and persistent background operation. The result: 1,000× the original execution baseline. And the graph tells the story. Milestones 10× — Terminal Agents (Feb 24) 50× — Parallel Lanes (Mar 27) 80× — Agent Registry (Apr 5) 150× — Orchestration Substrate (Apr 27) 300× — Auto-Dispatch (May 2) 500× — VibeAssist (May 12) 800× — Kanban Intelligence (May 16) 1,000× — YOLO Background (May 19) The studio is no longer just building. It’s operating. This is what software looks like when execution compounds. Who else is building at this velocity in 2026? Drop your numbers. Yolo Labs Turning vision into velocity. #Yololabs #newproject #Ai #Build

𝐏𝐞𝐚𝐤 𝐏𝐫𝐨𝐝𝐮𝐜𝐭𝐢𝐯𝐢𝐭𝐲 𝐔𝐧𝐥𝐨𝐜𝐤𝐞𝐝 𝐚𝐭 𝐘𝐎𝐋𝐎 𝐒𝐭𝐮𝐝𝐢𝐨🚀 Over the past two weeks, our team maintained an extraordinary rhythm: one commit every 29 minutes, resulting in 747 commits across 14 active days. 𝐊𝐞𝐲 𝐦𝐞𝐭𝐫𝐢𝐜𝐬: 178K lines added –21K lines removed 36 merges Peak day: 161 commits This wasn’t just speed, it was sustained, high-quality execution. The visualization above was generated live inside our workspace, tracking every commit, file change, and productivity pattern in real time. What makes this exciting isn’t only the numbers, it’s the system behind them: a workflow designed for deep focus, rapid iteration, and continuous momentum without sacrificing quality. At YOLO Labs, we’re building an AI-native engineering culture where velocity is measurable, collaboration is seamless, and tooling amplifies human creativity instead of slowing it down. This sprint is a glimpse of what the future of software development looks like. #YOLOLabs #PeakProductivity #BuildInPublic #AIEngineering #DevCulture #Ai

𝐓𝐡𝐢𝐬 𝐢𝐬 𝐡𝐨𝐰 𝐭𝐡𝐞 𝐟𝐥𝐲𝐰𝐡𝐞𝐞𝐥 𝐬𝐩𝐢𝐧𝐬 𝐢𝐧 𝐘𝐎𝐋𝐎 𝐒𝐭𝐮𝐝𝐢𝐨. You drop one goal. The yolo-router instantly spawns the perfect constellation of agents. Parallel work streams launch. Failures flow back as context automatically. Agents self-correct in real time. plan.md remains the single source of truth. Clean merges happen across lanes. Then you repeat every ~34 minutes. This isn’t linear AI assistance. This is a self-reinforcing orchestration system that gets faster and smarter the more you use it. 620 commits in two weeks wasn’t luck. It was the flywheel in motion. We didn’t just ship features. We built the machine that ships the features. If you’re tired of AI tools that only suggest and ready for AI that actually executes as a team → join the waitlist.yololabs.ai/ Which part of the flywheel excites you most? Auto feedback loops → Parallel agent streams → The smart router constellation Drop your answer below

𝐄𝐢𝐠𝐡𝐭 𝐬𝐭𝐚𝐫𝐬. 𝐎𝐧𝐞 𝐜𝐨𝐧𝐬𝐭𝐞𝐥𝐥𝐚𝐭𝐢𝐨𝐧. This is the architecture powering YOLO Studio. → Three frontier models (Claude, GPT-5.5, Gemini) → Five specialized role agents (Bayer-designated stars) → All routed through the central 𝐲𝐨𝐥𝐨-𝐫𝐨𝐮𝐭𝐞𝐫 → One unified command hub keeping everything aligned No more fighting between models. No more copy-pasting context between agents. Just eight powerful intelligences working as a single coordinated system planning, building, testing, and deploying together. This is what “multiple agents, multiple models, one mission” actually looks like. The exact orchestration layer behind our 620 commits in two weeks. Want this kind of constellation running in your own workspace? Join the waitlist → yololabs.ai/ Which star in this constellation excites you most a frontier model or a specialized role agent? Tell us below👇 #YOLOStudio #AIAgents #MultiAgent #Orchestration #yoloRouter #BuildInPublic #Ai

𝐋𝐢𝐯𝐞 𝐟𝐫𝐨𝐦 𝐲𝐨𝐮𝐫 𝐘𝐎𝐋𝐎 𝐒𝐭𝐮𝐝𝐢𝐨 𝐰𝐨𝐫𝐤𝐬𝐩𝐚𝐜𝐞. This is what orchestration actually looks like when it’s running: → Multiple isolated lanes, each with its own specialized agent → All of them working in parallel on the same goal → Shared plan.md keeping every agent perfectly in sync → Feedback loops and tile triggers quietly doing their thing in the background No tabs. No copy and paste. No waiting for the “next” AI. Just a full team of agents shipping together exactly how we hit 620 commits in two weeks. This is the screenshot I open every morning. Want your own workspace that looks (and works) like this? Join the waitlist → yololabs.ai/ What would you build first if your agents looked like this every day? Reply below 👇 #YOLOStudio #AIAgents #Orchestration #BuildInPublic #MultiAgent #Ai

Most people see those numbers and think “wow, fast devs.” We see something different: 𝐜𝐨𝐨𝐫𝐝𝐢𝐧𝐚𝐭𝐞𝐝 𝐀𝐈 𝐚𝐠𝐞𝐧𝐭𝐬 𝐭𝐡𝐚𝐭 𝐧𝐞𝐯𝐞𝐫 𝐰𝐚𝐢𝐭 𝐨𝐧 𝐞𝐚𝐜𝐡 𝐨𝐭𝐡𝐞𝐫. - Parallel lanes so they ship at the same time - Shared plan.md so they stay perfectly aligned - Auto feedback loops so they self-correct - Tile triggers so the whole system reacts instantly This isn’t AI as a copilot anymore. This is AI as an entire engineering org running inside one workspace. We used this exact system to build YOLO Studio in real time. If you’re one of the “few who are building” this is what’s waiting for you. Early access waitlist → yololabs.ai/ Fan out, feedback loops, or reactive tiles, which one are you most excited to try first? tell us in the comment section. #YOLOStudio #FutureOfCoding #AIAgents #BuildInPublic #Ai

Two weeks. 620 commits. One every 34 minutes. This isn’t just activity it’s coordinated execution. Behind these numbers is a system where AI agents don’t just assist… they collaborate. Running in parallel, reacting in real-time, and continuously shipping without bottlenecks. No context switching. No waiting on handoffs. Just a steady cadence of progress. Peak day? 161 commits. Consistency? 13 active days straight. This is what building with orchestration looks like. We’re not speeding up developers. We’re changing how software gets built.→ yolo.studio #YOLOStudio #AIAgents #DevTools #BuildInPublic #Orchestration

𝐎𝐫𝐜𝐡𝐞𝐬𝐭𝐫𝐚𝐭𝐢𝐨𝐧 𝐣𝐮𝐬𝐭 𝐝𝐫𝐨𝐩𝐩𝐞𝐝 𝐢𝐧 𝐘𝐎𝐋𝐎 𝐒𝐭𝐮𝐝𝐢𝐨. Most AI coding tools stop at “chat copy-paste,” but we went further. Agents now talk, react, self-correct, and ship in parallel all inside one workspace. 👉 yololabs.ai 𝐇𝐞𝐫𝐞’𝐬 𝐰𝐡𝐚𝐭 𝐨𝐫𝐜𝐡𝐞𝐬𝐭𝐫𝐚𝐭𝐢𝐨𝐧 𝐚𝐜𝐭𝐮𝐚𝐥𝐥𝐲 𝐥𝐨𝐨𝐤𝐬 𝐥𝐢𝐤𝐞: Agent feedback loops mean you can write code, tests run automatically, and any failures flow straight back to the agent no manual relay, it just fixes itself. With a shared scratchpad, every agent works from one living file (~/.yolo/shared/plan.md), keeping the architect, implementer, and reviewer perfectly aligned at all times. For larger tasks, parallel fan-out / fan-in lets you describe the goal in plain English, then we decompose it, spawn isolated agents across separate git lanes, run them simultaneously, and merge everything back cleanly with conflict handling. Tile dependency triggers take it further tiles publish artifacts like code, test results, and previews, while other tiles automatically rebuild, queue, or react, creating truly reactive workflows. On top of that, you get context injection so agents never start cold, watch mode tiles for continuous updates, and workspace recipes to save and reuse your best setups. This isn’t multiple tools duct-taped together, it’s one environment where AI agents coordinate like a real team. Which part excites you most, parallel fan-out, auto feedback loops, or the shared plan? Drop a comment below. We’re shipping this 🔜 yolo.studio #YOLOStudio #AIAgents #DevTools #Orchestration #BuildInPublic