The product development lifecycle is being reshaped by AI agents. Not just by faster code generation, but by the emergence of persistent, tool-using teammates that can research, implement, review, document, and follow up across a product team's workflow. This changes how teams plan, delegate, review, and maintain context.

In this talk, we'll explore what happens when the PDLC evolves from product teams made only of humans to product + agent teams. Drawing from our experience building and ramping Agor internally at Preset, we'll look at where agents fit naturally, where they create new coordination problems, and what new rituals and infrastructure become necessary: shared visibility, scoped ownership, memory, review loops, and traceable work. We'll also show how Agor makes this practical by giving teams a shared canvas for agent work, branches, sessions, knowledge, and human review.

Target audience: product and engineering leadership, platform and developer-productivity teams, and leaders driving AI transformation / future of work.

Format & length: best as a 25–40 minute talk; adaptable to keynote, breakout, panel, or a longer workshop, and can be tuned more executive, technical, or product-focused per venue.

Attendees leave with:
(1) how the PDLC shifts when agents join across discovery, planning, build, review, docs, and follow-up;
(2) the coordination problems agents create and the rituals/infrastructure that solve them;
(3) a practical model for running product + agent teams, with lessons from Preset.