research

Codebase research across multiple sources is coordinated by spawning parallel sub-agents that analyze code, documentation, and web sources simultaneously. This distributed approach produces consolidated findings with source citations and actionable insights for engineering teams.

Synthesizing research findings from documentation and web sources is best handled by parallel sub-agents that gather data externally while integrating past learnings. Results are consolidated into structured findings with source citations and actionable task plans.

Parallel sub-agent orchestration for software engineering research works by distributing tasks across three scopes: codebase analysis, documentation exploration, and external web gathering. Each sub-agent operates concurrently to accelerate discovery and return synthesized, cited results.

You can use automated research to analyze your codebase and gather external web documentation simultaneously. The process operates across codebase, docs, and web scopes, prioritizing past learnings to deliver structured findings with source citations.

Parallel research orchestration preserves context and safety when scanning a codebase by operating within defined scopes and returning structured findings. It consolidates synthesis while maintaining safety boundaries during codebase analysis and web gathering.

You should use parallel sub-agents instead of manual research when comprehensive multi-source synthesis is needed across codebase, docs, and web sources. It accelerates discovery by distributing work and returning consolidated, cited insights for engineering teams.