des-implementation-plan

Implementation planning for data engineering work involves sequencing ready story tasks by their dependencies and grouping them into phases. This process produces a structured execution plan that defines quality gates, checkpoint timing, and safe parallelization opportunities before coding agents begin.

Sequencing data engineering tasks with dependency handling requires identifying safe parallelization opportunities and structuring work into implementation phases. This approach ensures checkpoints and validation tests run at the correct points in the workflow, preventing blocked work from being scheduled as executable actions.

Workflow orchestration handles coding-agent handoff by producing a handoff prompt and an execution plan without writing or executing code. It converts readiness artifacts into ordered phases with validation gates, ensuring agents receive clear task readiness instructions instead of jumping into coding prematurely.

You need to apply quality, contract, and security gates in an implementation execution plan when defining when tests run and CI/CD handoff occurs. These gates ensure validation occurs at specific checkpoints during dependency-aware sequencing, enforcing HALT guardrails before any coding-agent execution.

Yes, you can use existing dev task breakdowns and readiness reports to create a CI/CD handoff schedule. The process reads these artifacts to select only ready stories, sequence them safely, and output an implementation plan that defines documentation updates and validation timing for the handoff.

An implementation plan schedules blocked work as executable actions when readiness artifacts are not properly filtered during dependency sequencing. By enforcing HALT guardrails and explicitly avoiding blocked tasks, the planning process ensures only ready stories are converted into safe execution phases for coding agents.