coding-pm

Automating the software development lifecycle for background coding tasks is achieved by delegating execution to an AI agent. This skill manages planning, execution monitoring, testing, and merging in isolated worktrees to keep your chat responsive.

AI project management for background code generation works by acting as a QA agent that oversees a background engineer. It processes requests through five phases: preprocessing, plan review, execution monitoring, acceptance testing, and final code merging.

Yes, you can run concurrent coding tasks without blocking your chat interface. The skill executes code generation independently in isolated worktrees and handles concurrency, actively monitoring progress while providing detailed updates.

The best way to ensure quality assurance when delegating coding to an AI agent is using a 3-layer testing approach. This skill implements automated, functional, and visual testing to verify that quality standards are achieved before merging.

Yes, the coding-pm skill handles error recovery during workflow automation. It actively monitors background execution, manages error recovery processes, and ensures requirements are met without interrupting your primary chat session.

Limitations of using an AI agent for end-to-end project management include dependencies on the background engineer's coding capabilities. While it handles planning and 3-layer testing, complex architectural decisions still require user approval during the plan review phase.