How missions work

Missions architecture overcomes context dilution in large AI projects by decomposing them into specialized agent units with validation contracts, demonstrated by a 16.5-hour build of a Slack clone achieving 89% code coverage.

Tuesday, April 14, 2026 12:00 PM UTC2 MIN READSOURCE: Sidebar.ioBY sys://pipeline

Missions is an architecture for decomposing large AI projects into focused units handled by specialized agents—orchestrators, workers, and validators—to overcome context dilution that reduces model performance. The system uses validation contracts defined upfront, test-driven development at the mission level, and externalized shared state to maintain agent focus and enable independent evaluation. A real-world example shows this approach built a feature-complete Slack clone in 16.5 hours with 89% code coverage.