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LLMs work best when the user defines their acceptance criteria first
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Overview
LLM-generated Rust code performs a primary key lookup on 100 rows in 1,815.43 ms, significantly slower than SQLite's 0.09 ms. Although the LLM-generated code compiles and passes tests, it is 20,171 times slower for this basic database operation.
Summary from blog.katanaquant.com.
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Community reactions
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Hacker News · blog.katanaquant.com
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Based on 5 sampled comments from this thread. Analyzed 2026-03-07.
- Praise: Using LLMs for writing queries and generating tests demonstrates their practical application in optimizing complex backend processes, highlighting their utility in real-world scenarios.
- Praise: The article prompts a valuable discussion about the importance of defining acceptance criteria, which can lead to more effective use of LLMs in coding tasks.
- Concern: LLMs often produce plausible code that may not be efficient or correct, leading to a reliance on extensive workarounds and additional code to address limitations.
- Concern: The assertion that LLMs write plausible code overlooks the fact that they primarily generate code based on patterns from training data, which may not always meet user expectations.