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Handing Over the SDLC: How Far Agents Actually Get
intermediate_plus
Agentic Engineering
AI
AI Agent
Assistants made coding faster without making delivery faster. I’ll cover what changes when agents take on whole units of work across the SDLC, where the handoff holds up, and where it breaks.
Lessons from enterprise rollouts: how to avoid a different tool per team, establish context that people and agents actually use, and lay the environment engineering foundation so agents can build, test, and verify their own output (so you don’t babysit them).
It’s going to be fun!
Speakers
Data
Leadership
Product
AI/ML
UX/UI
Join the event!
Stand on the shoulders of giants and build alongside the people shaping what comes next.

