Building Better Product Teams With & Without AI – Morgane Peng
summary
Practical playbook for merging dev, design and PM workflows: move tickets into GitHub for tickets and do UI reviews in PRs, run tiny static demos in an internal CodePen, and accept signed-off Excel prototypes for data-heavy features. A documented design system reclaimed repeated work and cut design effort by 80% reuse on one product. AI is framed as a technical coach (GitHub Copilot to find classes), not a job replacer.
AI-written summary · about
chapters (6)
- 0:00Product teams and AI challenges
- 5:38Who should code and how to collaborate on code
- 13:51Business priorities sharing
- 20:52Design’s role in CX
- 31:35Better teams beyond AI
- 35:06Q&A
related talks
02mHow Product Teams Are Changing in the Age of AI
31mHow Great Tech Teams Build a Productivity Culture that Scales
20mAI will upend your process—for the better
03mInterview with Maggie Appleton
42mThe Future of Software Development
36mEngineering Intent: Solving the AI Productivity Paradox
27mThe Shape of AI : How designers integrate AI into their workflow
13mHolistic approach in product design
