tlc-spec-driven

Spec-driven project planning breaks work into four adaptive phases: Specify requirements with traceable IDs, Design architecture, break down granular Tasks, and Execute implementation with verification. This structured approach streamlines complex project execution.

The best way to break down requirements into verifiable tasks is using a structured specification phase that assigns traceable IDs to requirements, followed by a dedicated task phase that decomposes work into granular, verifiable units before implementation begins.

To manage context limits when planning a large software project with AI, use a skill that features built-in context management to keep processing within optimal performance bounds, alongside session continuity to seamlessly resume work across multiple interactions.

Yes, you can resume project execution across different sessions if your workflow is interrupted by leveraging session continuity features. This allows you to seamlessly resume implementation and verification tasks without losing your previous specification and design context.

Spec-driven project planning requires a reasoning-capable AI model to function effectively. The AI needs advanced reasoning capabilities to understand and process complex project requirements, design architecture, and contextual dependencies accurately.

You should use quick mode for task management instead of the full planning workflow when handling small tasks efficiently. It bypasses the comprehensive four-phase process, allowing for rapid execution without the overhead of detailed specification and architecture design.