A software developer argues that while Large Language Models (LLMs) may have some limitations, such as not being able to write Rust or handle certain types of code, their strengths in generating repetitive and tedious code can be incredibly valuable. They propose using LLMs as "agents" that can automate tasks like testing, linting, and compilation, freeing up developers to focus on higher-level tasks and making their code more readable and maintainable. The developer also acknowledges the potential risks of relying too heavily on LLMs, such as plagiarism and the loss of certain skills, but believes that these concerns are overstated and that the benefits of using LLMs in software development far outweigh the drawbacks. They argue that the use of LLMs is not about replacing human developers, but rather about augmenting their abilities and making them more productive.