#code-review
4 articles
AI Coding Did Not Remove the Bottleneck; It Moved It Into Review
Code generation is becoming abundant while trustworthy change remains scarce. Engineering organizations should redesign specifications, tests, and review queues before faster production overwhelms their ability to judge it.
AI Code Needs a Chain of Custody, Not a Vibe Check
The dangerous question is no longer whether generated code looks plausible. Engineering teams need to know what evidence justifies every change and who owns the uncertainty that remains.
Coding Agents Need Change Budgets, Not Blank Checks
The central risk of AI-assisted software development is not that agents write bad code; teams already know how to reject bad code. It is that they can create more plausible change than an organization can responsibly understand.
Why the Best AI Coding Teams Spend More Time on Review, Not Less
AI has made code generation dramatically cheaper, but that does not make software easier to trust. The teams getting real leverage from coding models are reorganizing around judgment, test design, and review quality rather than celebrating raw output volume.