Code Health Guardian: Rigorous yet Sustainable Human Reviews in the AI Era

While senior engineers have always prioritized code health, the AI era has turned a best practice into a survival requirement. As we shift from manual coding to the role of Code Health Guardians, our primary task becomes reviewing and protecting codebases that must now survive an unprecedented commit velocity.

But is being a Code Health Guardian just a full-time review job now? What happens to our own craft? How do we maintain intellectual control over the codebase without burning out or becoming the new bottleneck?

In this session, you will learn:

• The theory-practice feedback loop: How the cycle between deep understanding and practice has historically driven progress, how generative AI threatens that loop today, and what it means for your codebase.
• Code review strategy: How to address the human review bottleneck without sacrificing rigor in both self-reviews and peer reviews.
• A "coding-first, AI-second" approach: When to leverage it, and why it effectively addresses the compounding issues of cognitive debt and cognitive load in the AI era.