The integration of AI in coding has elicited mixed reactions among developers, with a March survey indicating similar levels of enthusiasm (36%) and skepticism (38%). Computer scientist Daniel Jackson notes that while AI will transform coding, it can be unpredictable and may not always follow instructions precisely. He emphasizes the importance of precision in software development, as stakes rise with complexity. Jackson advocates for modular code development to counter AI's limitations and warns against overreliance on AI, which could lead to significant challenges in software projects.
Undoubtedly AI will change the way code is produced. But it wouldn't surprise me if we were in for disappointment—the hype will pass.
There are almost no applications in which 'mostly works' is good enough. As soon as you care about a piece of software, you care that it works right.
Large language models can't reason their way around those kinds of dependencies. Experienced programmers are good at understanding the bigger picture.
Too much reliance on AI may be a bit of an impending disaster, because we don't know how it will integrate into our workflows.
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