All articles — Page 5
How a hackathon project turned into my work at CodeRabbit
How Ayush Sridhar CalHacks Hackathon project turned into an SWE internship with CodeRabbit
GitHub gives maintainers a throttle for the AI pull request surge
GitHub is giving open source maintainers new controls to limit concurrent PRs from outside contributors. Here's how the platform is addressing the maintainer burnout caused by AI-generated contributions.
The more AI writes the code, the more review needs independence
An independent reviewer becomes the safeguard that keeps teams moving fast without sacrificing quality because the system that writes code should not be the same one deciding whether it is safe to ship.
Out with Tokenmaxxing. In with Mergemaxxing
The point of AI code review is not to consume more tokens, but to help teams ship better code faster, with fewer production issues and less review bottleneck.
Before, during, after: The three moments AI agents earn your trust
As AI agents handle more code and longer tasks, "trusting the outcome" isn't enough. Learn why explainability at three critical moments is now the product itself.
We watched developers approve bugs in 30 seconds
Hundreds of conference conversations, one pattern: teams know review is their bottleneck, but they're still using whatever came pre-installed.
Automatic repository linking: cross-repo context without manual setup
CodeRabbit can detect related repositories across your organization and use them as review context, so cross-repo impact is easier to catch before you merge.
Humans don’t have an API
As generative AI becomes embedded in daily work, the line between how we communicate with software and how we communicate with one another can feel less distinct than it once did.
How CodeRabbit Review reads a PR the way its author would explain it
In the agentic SDLC, code generation is becoming commoditized. Trusted verification is becoming the moat.