All articles — Page 5
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.
Fable 5 review: Coding tasks and code review results
See how Fable 5 performs in coding tasks and CodeRabbit’s review tests, including bug coverage, comment precision, and long-running agent behavior.
CodeRabbit now supports NVIDIA Nemotron 3 Ultra
NVIDIA Nemotron 3 Ultra delivers accurate and fast throughput in CodeRabbit's self-hosted AI code reviews.
Nemotron 3 Ultra: Coding workflows and code review benchmarks
Explore Nemotron 3 Ultra for coding workflows, with CodeRabbit review benchmarks covering quality, latency, retries, and structured-output reliability.