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Mission Control

Private tooling · in active use

Multi-agent AI development orchestration: parallel coding agents, isolated execution, dependency-ordered waves behind automated gates.

  • 695 automated tests
  • 7 projects
  • Gated parallel waves

Stack

  • Claude Code agents
  • Multi-agent orchestration
  • Git worktrees
  • TypeScript
  • Deterministic workflow gating
  • Automated test + build gates

Mission Control is an independent multi-agent AI development orchestration system I started in June 2026 and build for my own work. It runs multiple Claude Code agents in parallel, isolates each one in its own git worktree so they cannot collide, and advances a dependency-ordered graph of tasks wave by wave.

The design premise is deterministic workflow control rather than unconstrained agent autonomy. Every wave is gated behind automated testing, build verification, a boot step that compiles and actually serves the app, repository-state checks, and governance controls. When verification fails, the work is stopped there: it merges only on success and reverts on failure, so a bad wave cannot propagate silently into later workflow state.

What it is really doing is putting reproducible software-engineering controls around AI reasoning: isolation, traceability, failure containment, and a human deciding what advances. The system is held to 695 automated tests and I have used it across 7 of my own projects.

This is my own IP, built for my own work, and separate from anything I have delivered under a client engagement.

Private build tooling I use across my own projects, so the code stays private. I'm glad to walk through the architecture on request.