All articles — Page 11
How to effectively plan issues on Linear using CodeRabbit Issue Planner
There's a gap between a ticket and meaningful code. Your ticket says, "Add dark mode support." Great, but what does that actually mean in code? Which files need changes? What patterns does the codebase already use for theming, and are there shared ut...
Issue Planner: collaborative planning for teams using coding agents
For decades, the software development lifecycle has followed a familiar timeline. You create an issue, assign the work, manually write the code, get several peers to review it, test it, and ship. Each step took a relatively predictable amount of time...
Misalignment: The hidden cost of AI coding agents isn't from AI at all
TL;DR: The real cost of AI agents isn’t tokens or tools; it’s misalignment that shows up as rework, slop, and slowed teams. The conversation everyone is having (and why it misses the point) Most conversations about AI coding agents sound like a fant...
We are committed to supporting open source: distributed $600,000 to open source maintainers in 2025
CodeRabbit recognizes the growing need to support open source software (OSS), especially as AI accelerates the development landscape. While AI makes writing code faster and increases the frequency of pull requests, the time and effort of maintainers ...
Show me the prompt: What to know about prompt requests
In the 1996 film Jerry Maguire, Tom Cruise’s famous phone call, where he shouts “Show me the money!” cuts through everything else. It’s the moment accountability enters the room. In AI-assisted software development, “show me the prompt” should play ...
An (actually useful) framework for evaluating AI code review tools
Benchmarks promise clarity. They’re supposed to reduce a complex system to a score, compare competitors side by side, and let the numbers speak for themselves. But, in practice, they rarely do. Benchmarks don’t measure “quality” in the abstract. They...
Why users shouldn’t choose their own LLM models: choice is not always good
Giving users a dropdown of LLMs to choose from often seems like the right product choice. After all, users might have a favorite model or they might want to try the latest release the moment it drops. One problem: unless they’re an ML engineer runnin...
CodeRabbit's AI code reviews now support NVIDIA Nemotron
TL;DR: Blend of frontier & open models is more cost efficient and reviews faster. NVIDIA Nemotron is supported for CodeRabbit self-hosted customers. We are delighted to share that CodeRabbit now supports the NVIDIA Nemotron family of open models amon...
2025 was the year of AI speed. 2026 will be the year of AI quality.
The year 2025 will be remembered as the moment AI-assisted software development entered its acceleration era. Improvements in the capabilities of coding agents, copilots, and automated workflows allowed teams to move faster than ever. But alongside t...