Artificial intelligence (AI) is rapidly transforming software development, enhancing programmer productivity but also introducing complexities. Over the past two years, AI coding assistants have gained traction, with Google reporting a leap from 14% to 90% in developer adoption. However, the increased speed of code generation is often offset by longer review times and a higher incidence of bugs, as AI-generated code averages 10.83 issues per request compared to 6.45 for human-written code, according to CodeRabbit. Concerns around quality and security are significant, with AI tools generating tenfold more security issues, including improper password handling. While AI reduces simple errors, such as spelling mistakes, it creates a heavier burden on human reviewers to ensure code integrity. Overall, AI is redistributing work rather than eliminating it, leading to a reality where developers engage in more correction and oversight, challenging the initial expectations of frictionless productivity.
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