codebase-analysis

Codebase analysis for onboarding uses a phase-driven workflow that uncovers architecture, patterns, and critical files, producing structured reports and actionable insights to accelerate understanding of large repositories.

Generating an architecture audit report is best handled through template-based reporting that surfaces an Executive Summary, Architecture Overview, and Recommendations, ensuring structured understanding and informed decision-making across large repositories.

Yes, you can automatically save reports and update documentation using an integrated post-analysis action step, which executes outcomes like keeping a memory of insights or updating docs after the reporting phase completes.

Yes, codebase analysis works for onboarding to large repositories by coordinating deep-analysis and reporting workflows to map architecture, consolidate design patterns, and reveal hotspots, enabling faster onboarding and informed decisions.

To start an automated codebase analysis workflow, you need to provide the analysis context to initiate Phase 1, allowing the template-driven workflow to run automatically through deep analysis, reporting, and post-analysis actions.

Automated codebase analysis relies on provided context and template-driven reporting to assess risks and surface hotspots, meaning the depth of architectural understanding and actionable insights is bounded by the initial context supplied to the workflow.