subagent-driven-development

Automate code implementation by dispatching independent AI subagents for each task within an implementation plan. This approach breaks down plans into discrete tasks and orchestrates specialized subagents to autonomously generate code.

AI code review for iterative development works through a two-stage process: first checking spec compliance and then assessing code quality. It manages feedback loops between subagents to fix issues and ensure requirements are met.

Subagent-driven development is a technique that executes well-defined implementation plans within a single session. It leverages specialized AI subagent prompts for distinct roles like implementation, spec review, and code quality assessment.

Yes, you can use AI agents to ensure code meets specifications through a structured, multi-stage review process. Specialized subagents check code against requirements and manage iterative refinement to guarantee compliance.

Yes, you need a detailed feature plan before automating software development. This skill is designed to execute well-defined implementation plans, breaking them down into discrete, manageable tasks for autonomous subagents.

You should not use AI subagents for code generation if your project lacks a well-defined implementation plan. The system is specifically designed for executing structured plans within a single session, not for open-ended exploration.