Why we build CodebaseLM

The biggest impact AI will have isn’t on writing code. It’s on how fast you can learn things.

For most of history, being smart meant having information about something and then applying it — and the information was the prerequisite. Years of reading, asking colleagues, hunting for the right docs. Then, finally, application.

That order is collapsing. You don’t have to spend a year accumulating information before you can use it. You can talk to a personal AI colleague that’s already read everything and skip directly to the part that actually matters: applying it to what you’re working on. The barrier to entry has never been lower.

Talk to your code

CodebaseLM is what that looks like for codebases. Don’t scroll through code — talk to it. Hear it explain itself out loud while a diagram of its architecture redraws as you ask follow-up questions. Read documentation only when you need to verify a detail. Not as the way in.

Reading top-down is a slow way to learn anything. Most of us learn faster by hearing a story and seeing the shape of the thing — then checking the docs once we already know what we’re looking at.

The way we onboard is broken

If you’ve ever opened a new repository and felt lost, that’s not your fault. It’s an artifact of how onboarding to unfamiliar code has been done for decades — read everything top-down, hope it coheres. Anyone can understand anything when it’s explained the right way for them.

CodebaseLM personalizes over time. Tours adapt to what you’ve already understood and what you keep coming back to.

The fastest way to see what this is — try a tour. Or read pricing.