tf-task-patterns

Terraform task patterns organize implementation plans into dependency-ordered checklists by execution phase. They map user stories, modules, data models, and infrastructure references from plan.md into a structured tasks.md output format.

Phase-based task generation for Terraform projects categorizes implementation work into Setup, Foundational, User Stories, and Polish phases. It assigns sequential IDs to tasks, creating a dependency-ordered checklist for execution.

You map Terraform user stories to implementation tasks by building a coverage matrix that links requirements to specific tasks and traces them to infrastructure artifacts. This ensures requirements traceability throughout the project delivery phases.

Yes, Terraform task pattern generation extracts user stories, modules, data models, and infrastructure references from plan.md and spec.md files. These input documents are required to generate the coverage matrix and structured task checklist.

The best way to structure Terraform project checklists by execution phase is to organize tasks sequentially from Setup through Polish, assigning unique IDs and mapping dependencies. This outputs a structured artifact with header, matrix, phases, and checklist.

Yes, you can trace Terraform requirements to infrastructure artifacts within a task checklist by generating a coverage matrix. This matrix links extracted user stories and modules directly to their corresponding implementation tasks and artifacts.