How this PM uses AI for PRDs, JIRA tickets, and replying to coworkers | Dennis Yang (Chime)
Dennis Yang is the Principal Product Manager for Generative AI at Chime, where he’s pioneered AI workflows that meaningfully increase productivity. While most people use Cursor as a coding tool, Dennis has turned it into a comprehensive product-management system that automates PRD creation, documentation management, ticket creation, status reporting, and even comment responses—without writing code. In this episode, he shares his end-to-end workflow and how non-technical professionals can leverage AI-powered IDEs. *What you’ll learn:* 1. Why Cursor is the perfect hub for product management (even if you don’t code) 2. How to use MCPs (Model Context Protocols) to push content between Cursor, Confluence, and Notion 3. The workflow for creating PRDs in Cursor and automatically responding to comments 4. How to automate Jira ticket creation directly from your PRDs 5. A system for generating comprehensive status reports without manual work 6. How to prototype AI products in minutes using Cursor as a “super MVP” environment 7. Why source-controlled markdown files might replace traditional SaaS tools *Brought to you by:* Zapier—The most connected AI orchestration platform: https://try.zapier.com/howiai Brex—The intelligent finance platform built for founders: https://brex.com/howiai *Where to find Dennis Yang:* Twitter/X: https://twitter.com/sinned LinkedIn: https://www.linkedin.com/in/dennisyang/ Chime: https://www.chime.com/ *Where to find Claire Vo:* ChatPRD: https://www.chatprd.ai/ Website: https://clairevo.com/ LinkedIn: https://www.linkedin.com/in/clairevo/ X: https://x.com/clairevo *In this episode, we cover:* (00:00) Introduction to Dennis Yang (03:00) Why Cursor is ideal for product management workflows (04:53) Setting up Cursor for non-coding use cases with markdown preview (09:35) Creating PRDs in Cursor and using source control for documentation (10:33) Using MCPs to publish content to Confluence and Notion (11:38) Bridging the gap between engineering and product (17:00) Reading and responding to document comments with AI assistance (21:37) Creating comprehensive Jira tickets directly from PRDs (25:51) Generating automated status reports from Jira data (30:23) Building a morning briefing system with ChatGPT (35:03) Generating personal morning briefings using ChatGPT (40:04) The “super MVP” approach to AI product development (46:37) Lightning round and final thoughts *Tools referenced:* • Cursor: https://cursor.com/ • Confluence: https://www.atlassian.com/software/confluence • Notion: https://www.notion.so/ • Jira: https://www.atlassian.com/software/jira • ChatGPT: https://chat.openai.com/ • Claude: https://claude.ai/ • Git: https://git-scm.com/ *Other references:* • News API: https://newsapi.org/ • Semrush: https://www.semrush.com/ _Production and marketing by https://penname.co/._ _For inquiries about sponsoring the podcast, email jordan@penname.co._
