AI coding tools show limitations despite productivity gains

A comprehensive analysis reveals that artificial intelligence-assisted coding tools, while boosting developer productivity, are not necessarily leading to better software quality. Software engineer Addy Osmani writes that AI tools can help developers achieve about 70% of a project quickly but struggle with the crucial final 30% that makes software production-ready. The report identifies that experienced developers benefit more from AI tools than beginners, as senior engineers can better evaluate and refactor AI-generated code. Osmani notes that AI excels at prototyping and routine tasks but cannot replace the human judgment needed for security, maintenance, and edge-case handling. The analysis suggests that successful AI implementation requires developers to maintain strict engineering standards and use AI as an accelerator rather than a replacement for established software development practices.

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