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How good is Claude Opus 5.5 at AI code review and coding? CodeRabbit’s Hendrik Krack and Gowtham Kishore Vijay discuss our benchmark results, reported token usage, and hands-on experience with longer coding tasks. The results are mixed: modest coverage gains on our broader open-source benchmark, stronger results on a smaller set of harder bugs, and more comments for developers to assess. Higher reasoning effort didn’t consistently deliver a better complete review. In this episode: • How we evaluate AI code review using bug coverage, precision and comment volume • What changed between our Standard and Max configurations • Why lower token prices don’t automatically mean cheaper reviews • What impressed Gowtham about letting Opus 5.5 work on a coding project overnight • A hands-on look at GTA-style games built with Opus 5.5 and Fable • Why clear prompts and explicit task boundaries still matter Our coding experiences are hands-on observations, separate from the code-review benchmarks. Comparisons with our earlier Opus 5 evaluation provide historical context rather than a direct head-to-head result. Explore CodeRabbit: https://www.coderabbit.ai/ Where has Opus 5.5 made the biggest difference in your workflow: writing code, reviewing changes, or tackling longer tasks? Share your experience in the comments. Subscribe for more AI model evaluations and practical discussions about software development. #ClaudeOpus #AICodeReview #CodeRabbit

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