Establishing Milestones in AI Coding Development

The software development process typically involves three fundamental steps: making it work, making it right, and making it fast. Large Language Models (LLMs) can assist in writing and reviewing code, yet they don’t guarantee a functional product. Their value hinges on human-defined requirements, meaningful tests, and the ability to fix code when issues arise. While LLMs can facilitate coding tasks, human oversight remains crucial, especially in complex projects, where ambiguity can pose risks. LLMs can enhance prototyping, allowing developers to explore ideas before full-scale implementation, but reliance solely on AI-generated code can be problematic. Effective testing is essential; merely automating tests without human insight could lead to ineffective results. Additionally, the ability to delete or prevent code is a vital human skill that helps refine and maintain a codebase. Ultimately, while LLMs provide valuable support, human judgment and intervention are essential for successful software development.

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