AI writes code faster. Your job is still to prove it works (addyosmani.com)

AI has revolutionized coding practices but has not replaced the vital role of code review. Developers are now expected to include evidence of functionality—through manual verification and automated testing—when submitting changes. As AI tools become prevalent, especially by 2026, over 30% of senior developers anticipate shipping mostly AI-generated code. However, while AI excels at drafting, it often fails to handle the intricacies of logic, security, and edge cases, resulting in a 75% higher error rate in logic errors. Solo developers tend to trust AI for rapid prototyping, relying heavily on automated testing, but those in teams still require human oversight to ensure quality and maintainability. In this evolving landscape, the approach to code review is shifting from detailed line-by-line scrutiny to broader quality control, emphasizing accountability and proof of functionality. Developers are encouraged to adopt a “PR Contract” outlining the intent, proof of work, risk analysis, and areas for human input. As AI-generated code floods in, teams must enforce incremental changes to avoid bottlenecks and maintain thorough testing standards. While AI can facilitate initial reviews, human judgment remains crucial, especially in ensuring security and understanding broader system context. The essence of successful collaboration has morphed into a partnership between AI and human developers, where accountability and verification remain paramount.