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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Processes Must Evolve With AI Pace
- AI accelerates delivery but team processes often lag behind and become misaligned.
- Teams must adopt a mindset of experimenting and changing rituals like sprint cadence to stay effective.
Deliver Weekly Learning Milestones
- Set short milestones and deliver weekly learnings even if they are prompts or partial experiments.
- Use each sprint result as a learning artifact to iterate faster and reduce ambiguity.
Disciplines Are Merging, Not Handing Off
- AI blurs lines between product, design, research and engineering, creating continuous collaboration needs.
- Traditional handoffs no longer work; teams must co-create solutions in real time.