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Pipeline AI vs agentic AI for code reviews: Let the model reason — within reason
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CodeRabbit Blog1y agoC
GPT-5 Codex: How it solves for GPT-5's drawbacks
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CodeRabbit Blog9mo agoC
Claude Sonnet 4.5: Better performance but a paradox
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CodeRabbit Blog9mo agoC
Why emojis suck for reinforcement learning
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CodeRabbit Blog8mo agoC
GPT-5.1 for code-related tasks: Higher signal at lower volume
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CodeRabbit Blog7mo agoC
Opus 4.5 for code-related tasks: Performs like the systems architect
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CodeRabbit Blog7mo agoC
Gemini 3 for code-related tasks: The dense engineer
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CodeRabbit Blog7mo agoC
Behind the curtain: What it really takes to bring a new model online at CodeRabbit
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CodeRabbit Blog7mo agoC
Our new report: AI code creates 1.7x more problems
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CodeRabbit Blog6mo agoC
Why users shouldn’t choose their own LLM models: Choice is not always good
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CodeRabbit Blog6mo agoC
An (actually useful) framework for evaluating AI code review tools
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CodeRabbit Blog6mo agoC
Developers are dead? Long live developers.
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CodeRabbit Blog4mo agoC
Nobody is going to read the code
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CodeRabbit Blog1mo agoC
You’re addicted to AI code generation. Now what?
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CodeRabbit Blog1mo agoC
Why your internal AI code review tool will cost more than you think
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CodeRabbit Blog1mo ago