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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.
CodeRabbit Triage brings priority, risk, ownership, and next-action context into the pull request queue so reviewers know where their attention is needed.
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.
CodeRabbit Triage brings priority, risk, ownership, and next-action context into the pull request queue so reviewers know where their attention is needed.
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.
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.
CodeRabbit Triage brings priority, risk, ownership, and next-action context into the pull request queue so reviewers know where their attention is needed.
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.
Engineering taste develops through experience, exploring alternatives, and learning from use. How can teams preserve those opportunities in an agentic SDLC?
See CodeRabbit’s GPT-6 Astra evaluation: cross-file bug detection, review findings, customer data protection, and the trade-offs in API cost.
Kent C. Dodds explains why product judgment, system understanding, and ownership become more valuable as AI agents take on more implementation work.
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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