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...
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...
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...
Claude Opus 4.7 outperformed in 100 evaluations across real open-source pull requests—finding more real bugs, delivering more actionable feedback, and reasoning across files better than anything we’ve tested.
Get AI-powered code reviews without leaving Codex. The CodeRabbit plugin runs reviews inside your session, catches bugs before PRs, and requires zero workflow changes to set up.
Traditional RAG-based code review misses cross-repo breaking changes. Learn why agentic code review delivers precise, real-time multi-repository impact analysis.
our settings page became a wall of options that overwhelmed a lot of users. Here's how we solved it and what we learned along the way.
The PR Usage-based Add-on lets your team keep reviewing PRs even after hitting a subscription limit - without upgrading your plan, manual intervention or per-reviewer setup. Once enabled through CodeRabbit dashboard, the rabbit automatically continues processing PR reviews beyond the limit, billing only the over-limit usage as pay-per-use. Credits kick in after the limit is reached, not before. Your regular usage stays on your plan. Only the overflow gets charged.
You open a pull request. CodeRabbit reviews it and leaves a handful of comments. So now you do what every developer does: Read each comment, Context-switch back into the code, Make the fix, Push a n...
Go check your pull requests real quick. If you’re like most devs, there’s at least one PR in there that’s almost done. The feature works, the logic makes sense, tests pass locally. If someone asked wh
How code models became coding assistants, how assistants became agents, and how the practice of software engineering began to reorganize around them.
The challenge Teams using coding agents need prompts that are clear, specific and context-aware. That's exactly why we built CodeRabbit Plan, a collaborative planning tool that turns vague ideas into
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