subagent-driven-development

Parallel feature implementation is achieved by breaking complex tasks into independent modules, managing subagent lifecycles with isolated worktrees, and verifying results through a two-stage review process to prevent conflicts.

Large-scale refactoring without conflicts requires explicit task decomposition and strict parallelization rules, ensuring task independence through rigorous checks before assigning independent work streams to subagents.

Subagent-driven development implements rigorous independence verification, so tasks with dependent components must be explicitly decomposed into strictly independent modules before parallel execution can proceed safely.

Managing subagent lifecycles during parallel development involves maintaining clean contexts and isolated worktrees for each subagent, ensuring concurrent implementation streams remain separated until the final two-stage review.

Code orchestration for agile development is needed when implementing large features with distinct components, such as separate UI, API, and database modules, allowing concurrent work streams to significantly speed up implementation time.

Parallel development with subagents requires explicit task decomposition to ensure task independence and adherence to strict parallelization rules, preventing conflicts across isolated worktrees during concurrent execution.