Jupiteros.Ai , a parallel AI orchestration engine , one prompt , one project .

For the past few months, we've been working on a problem every developer using AI coding tools knows too well: How do you run multiple AI agents on the same codebase without them creating file conflicts, losing context, or requiring constant manual coordination? Our answer is Jupiter, a parallel AI orchestration engine written in Rust. Here's how it works: You describe a complex task (e.g., "refactor the auth module") Jupiter analyzes your codebase and creates an execution plan It launches N Claude CLI workers simultaneously A Rust-based scheduler manages file locking, dependency ordering, and inter-worker communication 5.You monitor everything from a real-time terminal dashboard The critical design decision: orchestration logic runs in Rust, not in an LLM. Claude is invoked only for reasoning and writing code. Everything else costs zero tokens. The result: Parallel execution without conflicts Cost efficiency (80% Rust, 20% Claude) Full audit trail and reproducibility Single binary, no