Study Shows AI Code Generators Only 60% Accurate, Half With Security Flaws

This is a Plain English Papers summary of a research paper called Study Shows AI Code Generators Only 60% Accurate, Half With Security Flaws. If you like these kinds of analysis, you should join AImodels.fyi or follow us on Twitter.

Overview

• Research evaluates ability of large language models (LLMs) to generate complete backend applications
• Introduces BaxBench: 392 tasks testing backend application generation
• Focuses on functionality and security of generated code
• Best model achieved only 60% correctness
• Over half of correct programs had security vulnerabilities

Plain English Explanation

Think of backend development like building the engine of a car. While LLMs can write small pieces of code well, creating complete backend systems is much harder - like assembling an entire engine rath...

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