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Claude Code creator clarifies LLM eval framework

By PulseAugur Editorial · [1 sources] ·

Boris Cherny, the creator of Claude Code, shared insights on how to effectively use large language models like Opus 5.5 for complex tasks. He outlined a three-part framework: defining a clear goal, establishing a measurement method, and specifying the effort level. Cherny also clarified the distinction between 'evals' and 'reviews,' explaining that evals involve a structured process of inputs, execution, and grading, as detailed in Anthropic's guides. This framework aims to help users better understand and apply LLMs for tasks such as performance optimization and capability assessment. AI

IMPACT Clarifies best practices for using LLMs in evaluation loops, potentially improving developer efficiency.

RANK_REASON The item is a blog post discussing a social media post and Anthropic's guides, rather than a primary release or research paper.

Read on dev.to — Claude Code tag →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

Claude Code creator clarifies LLM eval framework

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COVERAGE [1]

  1. dev.to — Claude Code tag TIER_1 English(EN) · Tatsuya Shimomoto ·

    Can You Tell an Eval from a Review?

    <p>On October 11, 2026, Boris Cherny, who builds Claude Code, posted on X. He was replying to a post saying that you can just tell the tool "the build is slow, make it faster" and it will do it. His point: since around Opus 4.8, Claude has done this kind of work better than he do…

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