infer-project-profile-from-code

Bootstrap a product profile from an existing codebase by scanning manifests, git contributors, CI signals, and documentation to infer a foundational project profile artifact without conducting a user interview.

Evidence-grounded project profile inference is deriving product identity, technology posture, and delivery maturity strictly from validated scan-index.json signals, tagging confidence levels to prevent fabrication when data is missing.

Yes, you can generate a project profile for brownfield repositories without a user interview by reverse-engineering scan evidence like manifests and CI test signals into a structured project-profile.yaml artifact.

Infer compliance hints and delivery maturity from code scans by processing captured git contributor data, CI test type-check signals, and documentation hints through field-by-field inference with cited scan evidence paths.

When scan signals are missing or truncated during codebase profile inference, the system marks fields as null with low confidence and records explicit decision entries in a manifest to ensure output transparency.

Brownfield bootstrap requires validated scan-index.json inputs capturing manifests, git contributors, CI test type-check signals, and documentation hints, along with issue context to generate the foundational profile.