tlc-spec-driven

Spec-driven development is a methodology that structures AI-assisted coding into four phases: Specify, Design, Tasks, and Implement+Validate. This approach eliminates ambiguity by ensuring every line of code is intentional and traceable back to initial project requirements.

To manage project state across multiple AI coding sessions, this Skill uses persistent memory to maintain your project decisions, feature specifications, and current blockers. This ensures session continuity so you can resume development without losing context.

You can break down software features into granular tasks by mapping your codebase and specifying feature requirements. This Skill automatically generates atomic, independently verifiable tasks with clear dependencies for structured AI implementation.

Yes, this spec-driven workflow supports stack-agnostic project planning. It guides your software development lifecycle through initialization, feature specification, and task breakdown regardless of your underlying technology stack or frameworks.

The best way to initialize a new software project with an AI assistant is to define its vision and roadmap first. This Skill facilitates project initialization by mapping the codebase and setting up a structured lifecycle from requirements to validated code.

You should not use a structured spec-driven development approach for rapid prototyping or single-file scripts where formal task breakdown adds unnecessary overhead. It is designed for managing complex software projects requiring complete traceability from requirements to code.