parallel-dev

Automating parallel feature development requires a structured workflow that plans requirements, decomposes them into isolated worktrees, executes via agent orchestration, and validates code before a safe merge. This coordinates concurrent multi-project efforts end-to-end.

Decomposing a feature plan involves breaking approved requirements into independent parallelizable streams like API, database, frontend, and tests. These tasks carry explicit dependencies, enabling concurrent agent execution without conflicts.

Isolated workspaces use git worktrees to spawn agents that implement, test, and document features concurrently. This preserves project isolation during parallel execution, preventing stream conflicts until the final merge.

QA validation before merging runs linting, tests, builds, and acceptance checks on completed parallel tasks. Once validated, the workflow handles the safe merge and performs cleanup on the isolated workspaces used during execution.

Yes, you can collect requirements once to generate a complete plan and execute them in parallel. Agent orchestration applies configurable models to manage independent workspaces, handling task generation and concurrent implementation automatically.

Limitations of agent orchestration for parallel development include the need for strict task decomposition with clear dependencies. Without proper worktree isolation, concurrent execution risks conflicts, and complex multi-project coordination requires rigorous QA validation.