subagent-driven-development

Subagent-driven development dispatches a fresh subagent for each independent task, preventing context pollution while integrating mandatory code reviews and TDD compliance checks between tasks. This enables rapid iteration with continuous quality gates that catch issues early.

Fresh subagent isolation per task ensures each subagent operates independently without cross-task context bleed. This approach maintains clarity and focus, allowing parallel execution within the same session while avoiding accumulated errors from shared context.

Yes, this approach enforces mandatory code-review checkpoints after every task completion. Reviews catch issues immediately, preventing defects from compounding across the implementation plan and reducing rework cycles.

Use this approach when executing plans with independent tasks in a single AI session where you need rapid iteration combined with continuous quality gates. It's ideal for scenarios where context isolation and immediate feedback prevent errors better than sequential execution.

Yes, TDD compliance is enforced as a mandatory requirement. Each task's subagent must satisfy TDD standards, with structured reporting of implementations, tests, and changes to ensure quality at every step.