subagent-driven-development

Automating task delegation involves dispatching a fresh subagent for each task in a plan to ensure strict spec compliance and isolate context. The system orchestrates end-to-end execution and runs automated two-stage reviews before integrating the work.

Preventing cross-task state leakage requires spawning a fresh subagent per task, which eliminates shared state between parallel workstreams. This approach maintains clean context isolation and improves focus for each independent implementation task.

A two-stage code review first verifies spec compliance, then assesses overall code quality before allowing task progression. This automated system evaluates the output of each subagent and automatically re-queues tasks upon failure.

You need fresh subagents when executing plans with multiple independent tasks that require parallel work, strict spec compliance, and high-quality output. This method is essential for maintaining clean per-task context isolation during end-to-end implementation.

Yes, you can run parallel workstreams on independent tasks because the system dispatches a fresh subagent for each task. This architecture guarantees clean per-task context isolation and prevents shared state contamination across the workflow.

If a subagent fails to meet spec compliance during the two-stage review, the system provides structured task progression with automatic re-queuing on failures. This ensures the task is retried until the required quality and compliance standards are met.