harness-engineering

To structure an agent-first repository and prevent architecture drift, implement a fixed domain layer model using mechanical enforcement. You apply structural tests and custom linters across domains to prevent layer violations, keeping large AI-enabled codebases coherent as they grow.

Progressive disclosure in repository design starts with a concise CLAUDE.md that maps to deeper documentation sources in docs/. This approach prevents overwhelming the reader while providing AI agents a structured path to deeper architectural context.

You set up CI hooks and deterministic linters for an agent-first codebase by scaffolding repository governance. This involves wiring a CI pipeline that runs reproducible agent-driven checks and structural tests to enforce the fixed domain layer model.

The best way to manage tech debt and documentation entropy is implementing doc-gardening workflows. You integrate quality scoring and a tech-debt tracker to maintain long-term repository health and control entropy in large codebases.

Yes, harness engineering supports adding new domains and plugins to an existing CI pipeline. It provides scaffolding and governance mechanisms to bootstrap repository structure and wire reproducible agent-driven checks for new domains.

You need a fixed domain layer model for repository architecture enforcement when managing large AI-enabled codebases. It establishes a strict Types to UI hierarchy with structural tests to prevent drift and maintain coherence as the project scales.