Developer logs AI code taking 3x longer to fix than writing from scratch

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A software developer tracked AI-assisted coding tasks over three months and found that AI-generated code snippets took an average of 3.2 times longer to verify and fix than writing the same code manually. For complex tasks involving state management, asynchronous flows, or edge cases, that ratio climbed to between 8 and 12 times. A particularly costly incident involved an AI-generated Python threading function that introduced a race condition, causing 30,000 duplicate database records in production and requiring eight hours to debug. The developer identified recurring failure patterns in AI-generated code, including logically flawed but compiling output, references to deprecated or non-existent APIs, and incomplete awareness of the broader codebase. The experience led the developer to stop accepting AI output at face value and to advocate for more rigorous verification of AI-assisted code.

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