jcode boots Claude Opus in 14 ms, runs at 27.8 MB, and edits its own Rust source mid-session. Same model inside. I believe this is the start of a sub-genre nobody is naming yet. Quick context: The first era of LLMs was prompt engineering. Era two was context engineering. Era three is what we've all been arguing about all year, model picking, Opus 4.7 vs Gemini 3 Pro vs Kimi K2.6. Now, someone rebuilt the wrapper around Claude in Rust, and the gap on cold start, RAM, and per-session scaling is bigger than any model gap I've seen this year. What jcode actually is: - Coding agent harness, 94% Rust - Custom terminal called handterm, custom Rust mermaid renderer - Native logins for Claude, OpenAI, Gemini, Copilot, Azure, plus aggregator providers - MCP works out of the box. Falls back to your existing .claude/mcp.json so anything you've already wired up keeps running - Install via brew, curl, or cargo build. Single binary - 3.3k stars on GitHub, 57 releases, actively maintained The numbers (jcode vs Claude Code, from the README): - Cold start: 14 ms vs 590 ms to 3.4 seconds. 42 to 245 times faster - Idle RAM with local embedding off: 27.8 MB - 10 sessions in parallel: 260 MB total vs 334 MB to 3.2 GB for Claude Code - Per added session: 9.9 MB vs 76 to 318 MB - Custom mermaid renderer the author claims is 1800x faster than browser-based versions That last one is the kind of detail that tells you what they're really doing. Someone is going through every layer of the Claude Code experience and rebuilding it natively, and the gains compound. What's actually different at the harness layer: - Self-dev mode. Agents inside jcode can edit the harness's own Rust source, run cargo build, hot-reload the binary across active sessions without dropping you. The wrapper is recursively modifiable from inside the agent loop. - Memory as semantic vectors per turn. Recall is automatic via cosine similarity. Not "remember to update CLAUDE.md". There's an ambient mode that consolidates memory and resolves conflicts in the background while you work.

📊 You've probably seen this chart floating around LinkedIn and Twitter Each dot is 3.2 million people. ⬜ Grey is the 84% of humans who have never used AI 🟩 Green is the 16% who have used a free chatbot 🟨 Yellow is the 0.3% who pay for one 🟥 Red is the tiny sliver who use AI coding tools Most of the people sharing it have not actually said what it means. So here it is. 🔁 We live inside an algorithm. Mine shows me AI all day. Yours probably does too. Every reel, every post, every podcast clip, every ad. The feed makes it feel like the whole world has moved on without you and you are sprinting to keep up. Inside Clief Notes that feeling gets louder. You log in and see people building agents, shipping side projects, automating their inbox, talking about Claude Code and MCP servers like it is normal. In this room, it is. Step outside and almost nobody is doing any of it. 6.8 billion people have never opened a chatbot. Plenty of the ones who did opened it once, asked it something dumb, got a dumb answer, and decided the whole thing sucked. They are not coming back this year. Maybe not next year either. 🪖 When I was in the Marine Corps I never felt like I was doing anything special. I was surrounded by other Marines. Everyone around me could do what I could do. The standard was the standard. It was not until I left and stood next to people who had never served that I understood. The thing I thought was ordinary was rare. I just could not see it because I was inside it. That is what is happening to you in here. If you feel behind in this community, that is the right feeling to have. It means you are standing next to the people pushing the edge. Step outside this room and the thing you are calling behind is so far ahead of where most of the world is sitting that they cannot see you from where they are. And do not forget. The thing you built last week, the workflow you set up this morning, the conversation you just had with Claude. A version of you from two years ago would have paid good money to do any of it.