CodeRabbit
The control layer for software change
From the CodeRabbit blog
Published by CodeRabbit, not by us. Every card opens the original post.
CodeRabbit joins the OpenAI Marketplace
OpenAI customers can apply their existing OpenAI spend commitment towards CodeRabbit through the OpenAI Marketplace, simplifying procurement.
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Claude Sonnet 5.5 for code review: More catches than Sonnet 5, in half the time
We benchmarked Claude Sonnet 5.5 for AI code review against Sonnet 5 and Opus 5.5: which bugs it catches, how fast it reviews, and what a review costs.
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The Merge: Your tests pass. Can your agent finish the job?
Cua AI co-founder Francesco Bonacci explains why developers need to check whether AI agents finish the job, even when the tools they use work correctly.
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Do you understand what you’re about to merge?
Agents can open a pull request that spans an API, a migration, and tests in minutes. Change Stack connects the change’s intent, behavior, and dependencies to the code so reviewers can verify the explanation before they merge.
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Claude Opus 5.5 for code review: More catches, different misses
We tested Opus 5.5 against our production reviewer to see which bugs it catches, which it misses, and whether higher reasoning effort actually improves the results.
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Rethinking PR triage from first principles
CodeRabbit Triage brings priority, risk, ownership, and next-action context into the pull request queue so reviewers know where their attention is needed.
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Your PR queue should tell you what to do next
CodeRabbit Triage brings priority, risk, ownership, and next-action context into the pull request queue so reviewers know where their attention is needed.
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A software factory needs a review gate it can trust
Agents can write, test, and revise code across much of the delivery process. But teams still need a reliable way to decide which changes can move automatically and which require accountable human review.
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Whose taste is shaping your agentic SDLC?
Engineering taste develops through experience, exploring alternatives, and learning from use. How can teams preserve those opportunities in an agentic SDLC?
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GPT-6 Astra review: Code review results, privacy, and cost
See CodeRabbit’s GPT-6 Astra evaluation: cross-file bug detection, review findings, customer data protection, and the trade-offs in API cost.
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What would the last software engineer still need to do?
Kent C. Dodds explains why product judgment, system understanding, and ownership become more valuable as AI agents take on more implementation work.
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Fable 5.1 review: Coding tests and code review results
Read CodeRabbit’s Fable 5.1 review, including coding tasks, code review results, latency, and the trade-offs to test before switching models.
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