feature-coordinate

You can orchestrate parallel subagents by launching a coordinator that tracks execution, manages dependencies, and dispatches work units across batches. This preserves correct execution order while accelerating complex feature development.

Balanced and speed execution strategies dictate how parallel work units are processed. Speed mode prioritizes rapid completion, while balanced mode manages resources more evenly, with both supporting dynamic unblocking as dependencies resolve.

Yes, you can run feature development tasks in parallel even with dependencies. The coordinator constructs a dependency graph and enforces pre-flight checks to dynamically unblock and dispatch work units as their dependencies are resolved.

To finalize and verify parallel work units, the system enforces finalization steps that include merging completed units and running verification checks. This ensures the orchestrated batches integrate correctly into the feature.

Parallel execution for complex feature work requires strict pre-flight checks and dependency graph construction. If independent work units have unresolved dependencies or fail finalization verification, the batch dispatch and merge process will halt.

No, you do not need to manually construct dependency graphs. The coordinator automatically builds the dependency graph and enforces dispatch contracts to manage the execution, monitoring, and orchestration of your work units.