Air traffic control for AI coding

Nool on Nool

We use Nool to govern every transition in the Nool codebase. This self-referential engineering proves the scalability of the ledger.

Managing 300+ knots with agents proposing under declared intent.
Self-correcting architectural drift via SIEE gates.
Zero-overhead synchronization across a distributed core team.

Nool: AI Engineering Governance & Agent Reliability

The governance layer for AI-native engineering teams

Nool governs each repository and coordinates the workspace above it. Engineering leaders can turn cross-project goals into real child-ledger tasks, roll release health and operating metrics upward, and trace delivery back to signed implementation evidence.

Built for engineering managers, CTOs, and principal engineers who need one recursive control model from organizational intent to project execution without creating a shadow management ledger.

Key capabilities: workspace topology reconciliation, goal-to-task decomposition, conservative release-health rollups, child-ledger insights, dependency-ordered coordination, semantic blast radius analysis, provenance, and policy-gated changes.