
Beyond Coding From 6 Engineers to 2: Why Product and Engineering Are Merging
4 snips
Oct 15, 2025 In this session, Kate Ivanova, a seasoned Product Manager with a strong background in AI product development, discusses the evolving landscape of tech teams. She highlights how AI is merging the roles of product and engineering, enabling smaller teams to drive significant impact. Kate emphasizes the need for adaptability and an experimentation mindset for AI workflows. She also shares insights on ideal team structures, the importance of engineers understanding business, and ways to boost developer happiness and ownership. Tune in for a fresh take on modern tech collaboration!
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AI Tends To Reproduce, Not Invent
- AI excels at replicating existing products but struggles to invent genuinely novel visions.
- Product leaders must supply original insight to avoid AI-generated commodity solutions.
Experiment With Models And Prompts
- Treat model choice and prompt design as product levers and experiment with them alongside backend and UI.
- Track model performance as an additional metric because model changes can make-or-break features.
Smaller Multi‑Functional Teams Win
- Small, autonomous teams with multi‑functional skills outperform large specialized squads for rapid AI work.
- Designers and researchers may be shared or merged while a dedicated PM and small engineers drive iterations.
