The Ultimate Guide to Making Your Entire Development Cycle AI Native

This post details a practical, end-to-end implementation of an AI-native SDLC, demonstrating how to transform a brownfield codebase. It introduces the concept of an 'AI Layer' that resides within source control, ensuring consistent AI workflows and rules for all engineers without individual setup. The talk outlines specific workflows for Product Managers (PRD to Jira tickets), Developers (R-PIV loop, structured planning, agent interviewing), and QA (automated PR reviews in CI). It presents a starter pack and emphasizes the importance of global rules and a skills library. The core contribution is a blueprint for achieving AI-native development across the entire lifecycle, addressing the common pitfall of AI assistants slowing down development by providing a systemic solution.