In this mini lab, you will get hands-on experience using Rovo Dev for code review and automation in real-world scenarios. Guided by Jovana and Bryan, you’ll work through a set of practical exercises designed to mirror how development teams use Rovo Dev day-to-day.

You will:

• Connect Rovo Dev to a sample repository in Bitbucket or GitHub and trigger AI-powered code reviews on pull requests
• Interpret and act on Rovo Dev’s review feedback, iterating on changes and seeing how it tracks acceptance criteria and code quality concerns
• Configure simple automation flows to handle repetitive work — such as cleaning up feature flags or updating dependencies — so Rovo Dev can open and update PRs on your behalf
• Experience how code review and automation tie back to the AI‑native SDLC story: the same agent that helps you write code can also help you review, maintain, and continuously improve it

Attendees should leave this lab with a concrete feel for what “AI in the loop” looks like at review time, and clear ideas for how to bring these patterns back to their own Bitbucket/GitHub and automation setups.