Which codebase design techniques from the pre-AI era still help agents?
Deep modules, adapters/seams etc.
Writing the 'codebase design' part of my new course and want to make sure I nail it.
One codebase, three identical PRs, three different CodeRabbit review profiles
quiet - only the most important feedback
chill - balanced (the default)
assertive - most comprehensive
Dial in the review depth that fits your team.
More signal, less noise, tuned to your team.
Mindwalk turns your codebase into a 3D city and lets you replay exactly how Claude Code or Codex explored, read, and edited it. I tested it on a real project.
Watch the breakdown.
Claude reads your codebase and design files to build your team's design system, then applies it automatically, keeping every project on-brand.
Give it a try:
Read more:
When you were writing software in your codebase, you felt the pain of friction and would grease the wheels as a result.
Now you're firing off dozens of agents and not watching what they're doing. Agents don't complain and they're not going to just tell you the problems that they're running into. They'll just work around them.
So you've got to ask your agents about that friction.
I've got a process for this that I'm going to make a video about eventually.