AI is changing the programming world, which has been evolving for several years. I could talk about how the emerging practice of using AI-driven coders increases speed and reduces costs, but there are some downsides that many fail to see.
Again, the question is not “Can we?” It’s “Should we?” Let’s go over a few core concerns.
What AI can’t do
AI-driven coders learn from existing code repositories. They often need a more contextual understanding of the code generated. They produce code that works but may need help to comprehend or maintain. This hinders developers’ control over their software and often causes mistakes when fixing or changing applications.
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