context-layer-generator

To document a code module for onboarding, generate durable context artifacts like a module manifest, behavioral contracts, and a decision log. These files map dependencies, interface guarantees, and decision rationale to permanently preserve tacit knowledge as code evolves.

The best way to prepare legacy code for AI agent modifications is generating context layer artifacts. Producing manifests, behavioral contracts, and decision logs ensures agents understand ownership, data flows, and failure modes before editing unfamiliar modules.

You create a decision log and behavioral contracts for an existing module by analyzing its codebase. This generates BEHAVIORAL_CONTRACTS.md detailing interface guarantees and failure modes, plus DECISION_LOG.md recording why architectural decisions were made.

Yes, you can generate a module manifest that maps dependencies and data flows automatically. By providing a target module path, the system produces a MODULE_MANIFEST.md detailing ownership, integration points, and explicit warnings for unknown connections.

Your code audit needs behavioral contracts and decision logs to prevent breaking existing systems during edits. These artifacts document interface idempotency, performance bounds, and decision reversal warnings that are critical when authors have left.