Jcode: rust-native agent harness

Jcode is a Rust-native harness that can run 10+ parallel AI coding agent sessions with millisecond startup and a tiny memory footprint [DevTo][GitHub]. The tool provides a command-line orchestration layer that spawns independent agent loops, each attached to its own LLM context window. Because the runtime is compiled C/Rust rather than interpreted Node.js or Python, launching a new session takes under 10 ms and stays below 10 MB of RAM on a typical laptop [GitHub]. Installation is a one-liner via Homebrew (brew tap 1jehuang/jcode && brew install jcode) or a direct Cargo build from the repository [DevTo]. The harness exposes a simple API for per-session model parameters, enabling scripts to route refactoring, test generation, and documentation updates to separate agents without contending for a single process. Jcode's performance edge allows multi-agent pipelines to fit on laptops, reducing latency for iterative development [DevTo]. By demonstrating sub-millisecond startup and low memory use, Jcode challenges the dominance of Python-centric stacks such as LangChain and Node.js-based agents [GitHub]. The harness can be hooked into Git hooks, CI pipelines, or TMUX sessions, giving engineers granular control over agent behavior that managed SaaS assistants lack [DevTo].