AI-Assisted Coding: The Two Sides of the Coin
The rise of AI-assisted coding tools has revolutionized software engineering, but it's not without its challenges. This article explores two typical AI usage patterns: "bootstrappers" and "iterators." Bootstrappers leverage AI to rapidly build prototypes, while iterators use AI in their daily workflow for code completion, refactoring, and more. While AI significantly boosts efficiency, it also presents the "70% problem": AI quickly handles most of the work, but the remaining 30% of fine-tuning still requires human intervention, especially challenging for inexperienced developers. The article emphasizes that AI is better suited for experienced developers, helping them accelerate solutions to known problems and explore new approaches, rather than completely replacing them. In the future, AI-assisted coding will move toward "intelligent agents" with greater autonomy and multimodal capabilities, but human oversight and guidance will remain crucial. Ultimately, the essence of software engineering remains unchanged, and the demand for experienced engineers may even increase.
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