Top AI Product

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jcode (1jehuang/jcode) booted in 14ms and shot to 1 on Rust trending in a day

A Rust coding agent harness called jcode (1jehuang/jcode) picked up 612 stars in a single day, cleared 9,500 stars and 1,000 forks, and grabbed the top spot on GitHub’s Rust trending list. Another vibe-coded terminal agent — Jeremy Huang’s commits carry Claude as co-author — but the numbers are hard to ignore.

What jcode actually is

It’s a terminal coding agent, the same category as Claude Code and opencode: point it at your repo, and it edits, runs, and tests code end to end. The pitch is the harness layer, not the model. jcode does the intelligent scheduling — semantic memory across turns via vector embeddings, and a swarm mode where multiple agents work the same repo with automatic conflict handling.

The Rust rewrite is the flex. 14ms to first frame, 27.8MB baseline RAM. Each extra session costs ~10MB versus 212MB for Claude Code, so you can run 20 jcode sessions for the price of one.

The API angle

It’s an open-source MIT CLI that plugs into any backend — Claude, GPT, Gemini, Copilot, Groq, Mistral, or local Ollama and LM Studio. No model lock-in. Install with a one-line script, or cargo build from source. Typical use: spin up a swarm of agents to parallelize a refactor while each one keeps its own memory.


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