Fewer tokens during the review process compared to the generation phase because you're using more expensive models and taking more time for thorough reviews.
To summarize your points:
- Token Consumption vs Quality: Simply consuming a large number of tokens doesn't guarantee quality code. Efficient use through critique loops and fewer, higher-quality agents is crucial.
- PR Review Importance: Given the increased volume of code generated by AI, rigorous PR reviews are essential to maintain code quality and reduce bugs in production.
- Specialized Review Tools: You haven’t found a satisfactory public PR review tool that meets your needs. The ideal tool would use high-quality models (like GPT-5.4 Pro or Deep Think from Gemini) for thorough reviews, even if it means generating fewer tokens.
Would you like to dive deeper into any specific aspect of this topic, such as how you've structured your internal processes for PR review or the tools you're considering developing in-house?
Read the full article at Latent Space
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alinemati1983-6987Written by alinemati1983-6987
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