corpus-chain

Trace PostgreSQL source file relationships by traversing a knowledge graph that maps scenarios, idioms, and subsystems to provide a holistic codebase view. This surfaces analogous past work and identifies required implementation patterns for consistent feature development.

A knowledge graph approach for PostgreSQL refactoring maps relationships between development scenarios, source files, and memory management idioms. It queries a scenario-idiom-file matrix to prevent fragmented knowledge and ensure established conventions are respected during code changes.

Find which PostgreSQL files to modify by querying the knowledge graph for the add-new-wal-record scenario. It generates a dependency map identifying relevant source files, invoked idioms, and analogous past features that serve as implementation references.

Yes, you can identify required PostgreSQL memory management idioms by traversing the knowledge graph before backend development. It seeds feature plans with established file lists and invoked patterns, reducing the risk of violating existing conventions.

Yes, this code analysis tool executes internal Python scripts to query the scenario-idiom-file matrix and outputs structured markdown documentation. This documentation details the relationships between PostgreSQL source files, idioms, and development scenarios.

Limitations include relying entirely on the pre-existing pg-claude knowledge graph data and requiring internal Python script execution. It cannot analyze code relationships or patterns outside of its mapped scenario-idiom-file matrix scope.