change-impact-radar

To predict change impact, analyze your codebase dependencies, tests, and DB/API surfaces to forecast ripple effects. This process generates a structured impact map tracing direct and indirect effects up to three hops in the dependency graph to alert for risk before edits.

Change impact analysis is a method to predict the extent of ripple effects across a codebase by analyzing dependencies, tests, and DB/API contracts. It traces direct and indirect effects up to three hops in the dependency graph to flag configuration or schema changes before edits.

You generate an impact map for a refactor by providing a concise description of the planned change. The analysis reads architecture and stack context to map affected tests, APIs, schemas, and configuration paths up to three hops in the dependency graph.

Yes, dependency impact analysis detects directly and indirectly affected tests and API contracts. By evaluating database and API surfaces alongside configuration paths, it flags potential schema changes and broken contracts to prevent regressions before edits.

You need to forecast codebase change impact before multi-file refactors, API changes, schema migrations, or dependency upgrades. Predicting ripple effects across dependencies and tests informs safe rollout decisions and prevents regressions before you make any edits.