What I Look for in AI-Assisted PRs (benjamincongdon.me)

A recent discussion highlights the evolving role of AI in code review processes, emphasizing that while AI can assist in initial evaluations, human judgment remains crucial. The author shares insights on refining personal heuristics for evaluating pull requests (PRs), stressing the importance of code clarity, sensible abstractions, and the balance between human and AI contributions. Key considerations include assessing the size and reversibility of changes, the meaningfulness of unit tests, and the author's engagement in the PR itself. This perspective is significant for the AI/ML community as it outlines the current limitations and necessary human oversight in managing AI-generated code. As the landscape shifts towards more AI-driven code creation, the author argues for recalibrating review practices to address challenges posed by the surge of non-human-generated code. Additionally, the author predicts that advancements in formal verification will become essential, suggesting that the future of software engineering will increasingly rely on integrating human intuition with automated tools to maintain code quality.