Do you trust your AI agent?
What is AI explainability, and why it is the key to trust and adoption for AI agents.
In Public
A running collection of the writing I've published and the talks I've given in the public domain — on AI agents, code review, and the future of AI-assisted software development.
What is AI explainability, and why it is the key to trust and adoption for AI agents.
Logging what an agent did isn't the same as explaining why — and why that gap is what keeps teams from trusting AI agents.
As AI agents write more of the code, the plan — not the diff — becomes the system of record.
For the first time in almost 20 years, reorganize the pull request into a guided walkthrough that shows the why behind a change, not just an alphabetical list of files.
A new way for teams to shape and refine the plan inside their issue tracker, before an agent writes a single line of code.
Developers need a review experience that shows the why, not just the what — and why that's the bet we're making at CodeRabbit.
A first look at Atlas, the first AI-native code review interface, live in your pull requests today.
A walkthrough of CodeRabbit Review — how it turns a pull request into a guided experience that surfaces the why behind every change.