In this session, we will step back from the individual modules and labs of Day 1 to connect the dots and return to the big picture: Rovo Dev as the foundation of an AI‑native SDLC.

We will:

• Revisit the core concepts introduced today - Rovo Dev as a context‑aware AI teammate that spans planning, coding, review, and deployment
• Walk through how the different surfaces you explored (CLI, IDE, Code Review) come together as one cohesive experience rather than isolated AI tools
• Highlight the key patterns from today’s exercises that distinguish “AI‑assisted development” from a truly AI‑native software delivery lifecycle
• Tie today’s learnings back to Atlassian’s broader vision for Rovo Dev and preview how upcoming sessions will deepen these capabilities across issues, repositories, and pipelines

By the end of this session, you’ll have a clear mental model of how the concepts from Day 1 fit together, how Rovo Dev reimagines the SDLC end‑to‑end, and what to look for in the rest of the track as you design your own AI‑native development workflows.