AI is writing more code every day. The skill that will not get automated is knowing what to build. And how to ship it with confidence when agents do most of the implementation.
In this full-day workshop, you will practice product engineering judgment upstream of the code, then put an AI-native delivery loop underneath it. You will learn how to validate a problem before you commit to a solution, understand the users you are actually building for, prioritize ruthlessly, and make reversible product decisions. Then you will set up the systems that let agents implement safely: shared intent and context, durable primitives, verification gates, feature flags, and outcome review instead of reading every diff.
What you will learn:
1. Validate before you build: surface real user pain, not solution-shaped stories
2. Align intent with agents: shared understanding, options with trade-offs, and clear "done"
3. Prioritize what deserves to exist (cut ruthlessly)
4. Design two-way doors: use flags and reversible decisions so you can ship and learn
5. Build agent-ready primitives: structure the repo so agents reuse building blocks instead of inventing slop
6. Close the delivery loop: tests, AI review, CI, preview environments, and risk-aware shipping without babysitting every line
7. Keep the system improving: friction logs, cleanup, and feedback loops after you ship
Who it's for: Software engineers with professional experience who already use (or are starting to use) coding agents. No specific stack required. PMs and tech leads welcome.
Format: One full day, hands-on. Bring a laptop, take notes, and have your preferred agent ready to go!
This workshop has been presented at React Summit US 2026, check out the latest edition of this React Conference.
