Reducing reliance on large language models
Many developers are experiencing mixed feelings about using large language models (LLMs) for coding, recognizing their potential to accelerate tasks and generate boilerplate, but also noting issues like messy code, lack of ownership, and the need for disciplined management. While some see LLMs as invaluable assistants for small tasks and prototyping, others caution against over-reliance due to challenges in understanding and maintaining AI-generated code, emphasizing the importance of human oversight and skill.