subagent-driven-development

Parallel coding tasks require write-set ownership enforcement to prevent file edit conflicts. This approach atomizes an approved plan into bounded worker waves, assigning disjoint write sets to independent subagents so concurrent edits remain safe and verifiable.

Subagent-driven plan orchestration is the process of fanning out independent implementation tasks as bounded worker packets. It assigns Goal IDs and verification gates to each packet, ensuring parallel execution remains safe under concurrent edits.

Orchestrating subagents requires an approved loop-ready plan or accepted work graph first. You then dispatch bounded worker waves with explicit scope, physical subagent profile binding, and stop/resume controls to execute independent tasks in parallel.

Yes, parallel subagents are designed for multi-task epic execution scenarios where independent tasks run concurrently. The system fans out 5+ independent tasks as bounded worker packets, enforcing disjoint write sets to block dispatch when overlap appears.

Concurrent AI coding stalls in single-threaded sessions because progress halts on individual checkbox-style wins. Fanning out independent tasks as bounded worker waves with verification gates prevents this bottleneck and enables continuous parallel progress.

Final-sweep verification coverage should run once at the final graph, epic, or release sweep, not mid-task by default. This policy requires per-task verification commands and runtime host invocation proof with durable receipts before counting work complete.