{"type":"rich","version":"1.0","provider_name":"Transistor","provider_url":"https://transistor.fm","author_name":"Terminal Value","title":"QA Is Becoming Product Intelligence | Dhaval Shreyas, Pie","html":"","width":"100%","height":180,"duration":1630,"description":"In this episode of Terminal Value, Nik Singh sits down with Dhaval Shreyas, co-founder of Pie, to discuss how QA is evolving from manual scripts and brittle automated tests into product intelligence.\nAs AI accelerates software development, engineering teams are shipping faster than traditional QA teams can keep up. Dhaval explains why the future of quality is not just “agents writing tests,” but systems that understand the product, the user experience, and the business context behind each flow.\nWe cover how Pie discovers a product from a staging URL or app build, how it builds and maintains coverage, why product context matters more than scripts, and why QA may increasingly merge with product, engineering, and product management.\nWe cover:\nWhy QA is underinvested in and often becomes a bottleneck\nHow AI-driven development is increasing pressure on quality teams\nWhy QA is moving from scripts to product understanding\nHow Pie discovers product flows and builds coverage\nWhy product context is hard for coding agents like Claude Code to replace\nHow Pie compares to Selenium, QA Wolf, and agentic coding tools\nThe role of PQEs and human-in-the-loop deployment\nHow the QA role may evolve as software teams become more AI-native\nWhy product context could become valuable beyond QA, including documentation and support\nTerminal Value explores where value accrues as AI, software, markets, and infrastructure change.\nSubscribe for more conversations with founders, operators, and investors building the next generation of software.\nChapters\n00:00 Cold Open: QA Is Falling Behind\n00:55 Intro: Pie and the AI-Native QA Layer\n01:50 What QA Looks Like Today\n04:02 Why Traditional QA Breaks Down\n04:53 Agentic QA and Product Intelligence\n07:11 Pii’s Deployment Journey\n09:04 How Pie Builds Product Context\n10:56 Ingesting PRDs, Help Docs, and Test Cases\n12:52 Who Buys AI-Native QA?\n14:43 Human-in-the-Loop Deployment and PQEs\n15:58 Pricing the PQE Model\n16:36 Pie vs. Selenium, QA Wolf, and...","thumbnail_url":"https://img.transistorcdn.com/F63affn3RYjAl7Jyw4EzUdUzrARkOc4Y6ceodi_6QEY/rs:fill:0:0:1/w:400/h:400/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS81ZTAx/MDY0NzRlNzI1MDFl/ZTQ0MzA4OGUyYTUx/YWI2ZS5wbmc.webp","thumbnail_width":300,"thumbnail_height":300}