tlc-spec-driven

Managing software development projects with an adaptive workflow involves auto-sizing four phases: Specify, Design, Tasks, and Execute. This approach applies full rigor for complex features while skipping ceremony for simple ones, ensuring efficient project planning and execution.

Breaking down feature requirements into atomic Git commits involves granular task decomposition and requirement traceability. Each verifiable task results in an atomic commit, ensuring clear links from initial requirements through to the final codebase implementation.

Maintaining project context across sessions requires persistent session memory. This mechanism stores state and context locally, allowing you to seamlessly pause and resume software development work without losing prior planning or task progress.

Yes, you can initialize a new project to establish its vision and roadmap, or analyze an existing codebase. The workflow supports both new project initialization and ad-hoc task management for ongoing software development.

This workflow automation works for both simple tasks and complex features. It auto-sizes its rigor based on project complexity, applying full planning phases for complex features and skipping unnecessary ceremony for simple ad-hoc tasks.