All articles — Page 11
Fix all issues with AI agents – a quality of life improvement
Code review is where you catch the things you missed. Fixing them shouldn’t feel like Groundhog Day. CodeRabbit already flags issues in your pull requests and gives you ready-to-use prompts for your AI coding agents. You click Prompts for AI, copy th...
Developers are dead? Long live developers.
Predictions about the end of programming are nothing new. Every few years, someone confidently announces that this time developers are truly finished. If you listened to these self-proclaimed Nostradamuses, devs were previously set to be replaced by ...
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...