ring:exploring-codebase

Codebase exploration is automated through a two-phase workflow that first discovers natural boundaries and components, then dispatches adaptive deep-dive agents to synthesize a structured architectural map and actionable insights.

Mapping codebase components requires discovering architectural perspectives first, which this approach handles autonomously by identifying structural layers and dispatching targeted explorers to generate practical implementation guidance.

Autonomous agents can analyze specific components by applying a phase-based discovery workflow that identifies target areas, then executes distributed deep dives to answer exactly how individual components function within the broader architecture.

Distributed codebase discovery works by orchestrating multiple agents that first identify major components and boundaries, then adaptively deep-dive into targeted areas to synthesize consolidated structural reports with practical recommendations.

A two-phase codebase exploration approach is needed when starting work on unfamiliar codebases or planning cross-component changes, providing a reliable mental model and implementation plan where manual review would be inefficient.

Autonomous codebase discovery works without external dependencies, relying entirely on internal distributed discovery agents to execute the phase-based workflow and synthesize architectural findings into structured reports.