We’ll start with a quick demo of vibe-coded UI work to show where it shines (exploration, spikes) and where it falls apart. Then we’ll move to context-engineered flows that plug in your own docs, API schemas, and tool permissions to get more consistent results. Finally, we’ll go spec-first: contracts, checklists, and CI rules that let AI generate specs, tasks, and implementation in a controlled pipeline—without losing momentum.

You’ll leave with a playbook for when to use each style, plus templates you can bring back to your team to move from “cool demo” to code you can run in production.

By the end, attendees will be able to:

- Differentiate between vibe coding, context engineering, and spec-driven development in terms of risk, speed, and governance.

- Identify scenarios where each approach is appropriate (exploration, delivery, production hardening).

- Design a basic spec-driven workflow that produces reviewable PRs with tests and CI checks.

- Apply context-engineering patterns (docs, APIs, permissions) to improve AI output consistency.

- Evaluate their current AI usage and propose one concrete improvement for their team.