An experiment revealed that Anthropic's Claude Code, specifically version Fable 5.1, did not improve code quality or correctness across its different effort levels. The user found that the 'max' effort setting, which was 8 times more expensive and took significantly longer than the 'low' setting, produced code that passed the same tests and met the same specifications. While higher effort levels did result in more factored and defensive code, these improvements were not reflected in the benchmark's pass/fail metrics. AI
IMPACT Highlights potential inefficiencies in AI coding assistants, suggesting users should be cautious about higher-cost settings if they don't yield measurable improvements.
RANK_REASON User-conducted experiment and analysis of an AI product's features.
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