When AI agents don’t follow your team’s conventions, the instinct is to fix the prompt or switch models. The real bottleneck is usually the codebase itself.
In this video, I break down four dimensions that separate codebases where agents produce consistent, high-quality output from ones where they drift. These are the patterns I see repeatedly when working with engineering teams adopting AI tools like Claude Code and Codex.
For the full deep dive with code examples and actionable steps, read the companion blog post: Four Dimensions of Agent-Ready Codebase Design.
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