AI-First Software Development Scaffold: Organizing SDLC

The AI-first software development scaffold is a strategic framework designed to streamline the software development lifecycle (SDLC) by organizing it into four essential phases: Objectives, Design, Code, and Deploy. This scaffold is not merely a tool or library but serves as a starting point for developers to structure their projects effectively. By incorporating a dedicated folder structure, associated artifacts, and guided agent instructions, it retains all project knowledge within a single repository, enabling high-level human supervision.

This framework operates on four core principles to ensure a contained, and systematic development process. Developers utilizing this scaffold initiate their projects by cloning or copying it, which allows them to systematically flesh out their projects over time. A significant aspect of this scaffold is the use of the degit tool to copy repository contents without carrying git history, providing a fresh start without dependencies cluttering the project.

To maintain project consistency, manual edits are discouraged; instead, all modifications to code and artifacts should go through AI agents governed by a predefined instruction set. This method guarantees that procedures are adhered to, decisions are systematically recorded, and the project's integrity is preserved throughout the development stages of the SDLC, all while allowing incremental creation of project specifics as work progresses.