Reducing the Dimensionality of Code Review in the Age of AI
Imagine jumping into a new project. You are assigned a Pull Request generated by an autonomous coding agent (like Claude Code or GitHub Copilot Workspace). It has changed 5,000 lines of code across 40 files in a few seconds.
You need to review it. What is the strategy?
If your answer is to read it line-by-line, checking for variable naming conventions and localized logic loops, you have already lost. Humans cannot scale to review the sheer volume of code generated by autonomous agents at the speed it is produced. Attempting to do so re-introduces the exact bottleneck the AI was meant to eliminate.
To get productivity, we humans need to disengage from the code itself and manage from a higher level. We need to apply a concept from mathematics: Dimensionality Reduction.