absolute-work

A phase-gated SDLC structures AI coding by requiring explicit user approval at each stage, from intake and specification to task execution and verification, ensuring a reliable development workflow.

Decompose specifications into a task board with dependencies, then execute tasks sequentially and in safe waves using an onion-peel approach to ensure safe parallelization before final convergence.

Yes, this approach supports multiple platforms and integrates with existing codebase conventions, making it ideal for complex features where a structured development process is required to ensure quality.

Start the AI coding session by providing a feature name, which initiates an intake and brainstorm phase to write and review specifications before generating any code.

Use a verification and convergence phase that checks the functionality and correctness of implemented tasks before finalizing the work, ensuring the output meets the initial specifications.

A structured intake phase facilitates a thorough design interview to ensure a shared understanding of requirements before implementation, preventing misalignment and errors during the coding process.