The Ultimate Guide to Making Your Entire Development Cycle AI Native

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• Cole Medin argues that most engineering teams adopting AI coding assistants are experiencing a “Productivity Mirage,” becoming slower despite feeling faster, due to a lack of a standardized system and team approach rather than model deficiencies.
• He demonstrates how to build an “AI Native SDLC” live, from PRD to agent-reviewed pull requests, using a “brownfield codebase.” This system, including “Global Rules and a Skills Library,” is integrated directly into source control via the free “AI Layer Starter Pack” for seamless team adoption.
• The workshop outlines specific workflows for PMs (PRD to Jira tickets) and developers (the “R-PIV Loop” for Research, Plan, Interview, Validate/Verify), emphasizing that the AI layer should reside in source control and be tool-agnostic to ensure consistent, efficient AI integration.