spurpower-plan-task-discipline

To prevent parallel coding agents from colliding, you need task isolation that defines strict file-level scope boundaries. This ensures workers operate within isolated git worktrees without polluting other tasks or causing cross-worker interference.

DAG-based task isolation is a discipline mechanism that manages task dependencies and file scope boundaries for multi-agent coding workflows. It enforces topological execution order to ensure predictable merge outcomes and prevent workers from drifting out of scope.

You can enforce dependency order by applying a standardized state machine for task progression. This lifecycle management ensures downstream tasks cannot start before their upstream dependencies are fully approved, preventing dependency order violations.

You need lifecycle management for multi-agent coding workflows when executing complex software development projects with multiple agents operating in parallel. It provides a standardized state machine from dispatch to final approval or rejection to ensure predictable merge outcomes.

The best way to manage state semantics for parallel agents is enforcing a defined DAG-based lifecycle. This approach provides standardized status semantics and task boundaries to prevent cross-worker interference and ensure predictable merge outcomes.

Downstream tasks start early because your multi-agent workflow lacks DAG enforcement. Without strict topological order management, parallel agents violate dependency orders, leading to unpredictable merge outcomes and cross-worker interference.