deepen-plan

To enhance a project plan with best practices, you can use an agent orchestration approach that spawns parallel research agents for each section to discover optimizations, UI/UX improvements, and real-world examples, synthesizing them into an enriched plan document.

Parallel research agent orchestration is a mechanism that spawns multiple research agents simultaneously to investigate architectural patterns, performance bottlenecks, and security considerations for each part of a plan, integrating discovered skills and documented learnings.

Yes, you can automatically review a draft plan for code quality and potential issues by running available review agents against the plan for maximum coverage, identifying security considerations and performance optimizations.

To integrate documented learnings and existing skills into a feature plan, you can use a dynamic discovery mechanism that executes various agent types, applying relevant learnings to enrich the plan with concrete recommendations and code examples.

Yes, agent orchestration works for finding architectural patterns and performance optimizations by automatically researching optimal approaches and potential bottlenecks for each part of your plan, providing concrete recommendations.

A limitation of using parallel research agents for plan enhancement is the requirement for dynamic discovery and execution of various agent types, which depends on the availability of skills, research, and review agents in your environment.