harness-onboarding

Onboard an existing repository into governed AI-assisted development by generating an evidence-based governance inventory and a copy-paste lite manifest. This process audits existing conventions and produces a module composition recommendation to operationalize governance immediately.

A governance inventory for brownfield projects audits existing ADR conventions, review processes, artifact tracking, and AI integration docs. It works by analyzing what is actually present in the repository to recommend which governance module families to activate.

Yes, you can generate a lite manifest for documentation-only repositories missing required artifacts. The process performs an evidence-based gap analysis, marking missing governance structures as UNKNOWN while satisfying manifest and module-graph conformance requirements.

Perform an artifact gap analysis for a codebase with mismatched governance practices by auditing existing revision tracking patterns and standards. The analysis produces a required-artifacts gap report, integration guidance, and a differences catalog explaining current practices versus expectations.

Yes, harness onboarding works for repositories without existing ADR conventions or review processes. The evidence-first audit marks missing governance artifacts as UNKNOWN and provides a differences catalog to bridge current practices with required module-graph conformance.

The best way to integrate an auto-harness governance framework into an existing codebase is generating a lite manifest alongside a proposed harness composition. This approach provides a validator runbook and integration guidance tailored to the repository's actual artifacts.