AI technology may assist with coding, but is not a replacement for human programmers, especially for complex systems requiring deep understanding, proprietary codebases, and contextual intelligence. Tasks that involve high-level design and trade-offs should not rely solely on AI, as generative AI lacks the ability to comprehend nuanced interactions within systems. Furthermore, working with proprietary codebases poses challenges, as AI lacks familiarity with specific code nuances unique to a team.
Generative AI systems are essentially super-smart auto-complete. They can suggest syntax, they can code, and they can act as if they understand concepts. But all of that is based on probabilistic algorithms and a ton of information scraped from the web.
Large language models are trained on public repositories and (shudder) Stack Overflow. Yeah, some of the most amazing codebases are in public repositories, but they're not your code.
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