585: Prompt-Eval-Iterate loop for AI-driven software development life cycles – with Avinoam Zelenko
Product Mastery Now for Product Managers, Leaders, and Innovators · 2026-03-30 · 21 min
Episode notes
How product managers can get the most out of AI-native development processes Watch on YouTube TLDR This episode, featuring Avi Zelenko, Principal Product Manager at Atlassian, explores how AI is transforming the traditional software development lifecycle (SDLC). Our discussion focuses on Atlassian's Prompt-Eval-Iterate loop, using AI with PRDs, the creation and use of "golden datasets," and the use of LLM judges to deliver higher quality AI products. Product managers will hear actionable insight into AI-native development processes and tips for involving cross-functional teams and customers in the journey. Introduction Is the traditional Product Requirement Document dead, along with the standard "Build-Test-Launch" cycle? AI-driven Software Development Life Cycles (SDLCs) are making changes in what has been standard practice. In this discussion we'll explore the AI-native SDLC used at Atlassian. By the end of this episode, you'll have a new framework to bring back to your team: The Prompt-Eval-Iterate loop. We’ll discuss why your PRD should be a "behavior contract," how to build "golden data sets," and how to use LLM judges to ship higher-quality software faster than ever.