In today's fast-paced development landscape, code reviews evolve from basic code checks into vital practices for quality and continuous learning. As Generative AI becomes more common in software development, the need for thorough human oversight is greater than ever. AI-generated code can lack domain-specific context and introduce subtle errors, making careful inspection critical to ensure correctness, maintainability, and alignment with business goals.
This talk will explore how to elevate code reviews from routine tasks into high-impact activities that drive quality improvement. Focusing on three key ideas—understanding the bigger picture, setting the right priorities, and controlling code complexity —I'll share practical tips to make your code reviews more thoughtful and effective. We'll look at how well-known principles like KISS, DRY, and YAGNI can be applied during reviews to spot unnecessary complexity.
Through real-world stories and practical Go examples, you'll walk away with clear, actionable techniques to lead more impactful code reviews.