AI-generated code can be useful in the early stages of a project, but it raises concerns in mature ones. Recently, a 280kloc+ Postgres parser was merged into Multigres (https://github.com/multigres/multigres/pull/109) with no public code review. In open source, this is worrying. Many people rely on these projects for learning and reference. Without proper review, AI-generated code weakens their value as teaching tools, and more importantly the trust in pulling as dependencies. Code review isn’t just about bugs, it’s how contributors learn, understand design choices, and build shared knowledge. The issue isn’t speed of building software (although corporations may seem to disagree), but how knowledge is passed on.
Edit: Reference to the time it took to open the PR: https://www.linkedin.com/posts/sougou_the-largest-multigres-...