This session explores the new muscle memory software teams need as development shifts from synchronous, single-threaded work to asynchronous, multi-threaded collaboration with AI agents. Agile was designed for human handoffs, so what still fits, what breaks, and what needs to change in the daily flow of modern engineering teams?

As models and agents become commoditized, advantage moves elsewhere: high-quality context, fast review loops, strong automation, clean architectures, and the practices that help agents produce reliable results. Just as important, teams must rethink how policy, governance, and security are applied early and at scale in an agent-driven SDLC.

Through practical concepts and live demos, we will look at how agentic workflows can eliminate menial work, unlock parallel implementation paths, make long-delayed refactors and rewrites newly viable, and challenge familiar Agile assumptions around ceremonies, story points, and velocity. Attendees will leave with a concrete mental model for evolving their SDLC, team habits, and platform strategy for the age of agentic engineering.