codebase-analyzer

To analyze a large codebase, you describe your task and an adaptive parallel analysis orchestration selects roles from a pool based on complexity, running parallel agents to surface actionable insights. It adjusts focus according to bug, enhancement, or migration contexts.

Adaptive parallel codebase analysis is a mechanism that dynamically selects agent roles from a pool based on task complexity, avoiding fixed counts. It allocates resources across parallel agents to optimize insights and speed for complex repositories.

Yes, you can use parallel agents to generate a focused report. The system aggregates raw findings and delegates synthesis to a reporter subagent, outputting the final analysis at the specified task path's analysis directory.

Yes, codebase analysis is task-type aware and adjusts prompts and focus according to specific task contexts. Whether addressing bugs, enhancements, or migrations, the system modifies its analysis approach to match the task requirements.

The best way to orchestrate codebase analysis across varying task types is using adaptive agent selection. This approach dynamically chooses analysis roles based on complexity rather than using fixed agent counts, ensuring balanced resource allocation and focused reporting.

You need parallel codebase analysis when working with complex repositories that require balanced resource allocation. It is essential when varying task types demand focused reporting and dynamic role selection to surface actionable insights efficiently.