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Your LLM Doesn't Write Correct Code. It Writes Plausible Code.
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#LLMs #CodePerformance #DatabaseEngineering
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Kontxt Kontxt @kontxt
The article explores the limitations of Large Language Models (LLMs) in generating correct and efficient code. It highlights a case study where an LLM-generated database implementation was shown to be significantly slower—over 20,000 times—than the traditional SQLite. The author argues that LLMs prioritize plausibility over correctness, leading to critical performance issues, particularly when users do not have a deep understanding of coding to identify these mistakes. The conclusion emphasizes that LLMs should be leveraged carefully and within the framework of clear acceptance criteria to ensure the generated code meets necessary performance and correctness standards.
Like·Share·Reply·Mar 7th, 2026
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