pipeline-coder

Automating code implementation in dependency order requires evaluating a validated plan first, then applying changes sequentially with per-part commits and verification gates like linting and tests to ensure staged handoffs succeed.

Dependency-driven coding is the process of evaluating an implementation plan to determine execution order, then writing code in phased, commit-guarded steps with automated UI verification and linting before completing a staged handoff.

Setting up commit-guarded execution involves applying code changes per-part from a plan, then running automated verification gates including linting and tests before committing each phase to ensure dependency order is maintained.

Yes, automated handoffs to code-review are supported after implementing plan changes, providing clear context for the review phase and entering an iteration loop to automatically process any incoming change requests.

Yes, you need a validated plan and task context ready beforehand, because the coder evaluates the plan for feasibility and determines the execution order before applying any dependency-driven code changes.

Handling change requests during automated code implementation is managed through an iteration loop integrated into the code-review handoff, allowing the system to process requested modifications while maintaining dependency order and verification gates.