“Cursor is a much better product manager than I ever was”: 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: - Why Cursor is the perfect hub for product management (even if you don’t code) - How to use MCPs (Model Context Protocols) to push content between Cursor, Confluence, and Notion - The workflow for creating PRDs in Cursor and automatically responding to comments - How to automate Jira ticket creation directly from your PRDs - A system for generating comprehensive status reports without manual work - How to prototype AI products in minutes using Cursor as a “super MVP” environment - Why source-controlled markdown files might replace traditional SaaS tools — Brought to you by: Zapier—The most connected AI orchestration platform Brex—The intelligent finance platform built for founders — 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 [redacted email].