Here's how I use LLMs to help me write code

Simon Willison discusses his experiences using Large Language Models (LLMs) to assist in coding, emphasizing that while some developers find success, others struggle due to unrealistic expectations and a lack of guidance. He stresses that coding with LLMs is not inherently easy and requires understanding their limitations and strengths. Key strategies include setting reasonable expectations, recognizing the importance of context, and treating LLMs as collaborative partners rather than autonomous coders. Willison advises users to provide clear instructions, test the generated code, and engage in iterative conversations to refine outputs. He highlights the significance of the training cut-off date for LLMs, which affects their familiarity with libraries and technologies. Willison also mentions the utility of tools that can execute code, enhancing the coding process. He introduces the concept of "vibe-coding," a relaxed approach to coding that encourages exploration and creativity. Overall, he advocates for using LLMs to augment coding skills rather than replace them, emphasizing the need for human oversight and testing.

- LLMs can enhance coding but require clear instructions and context management.

- Users should set realistic expectations and understand LLM limitations.

- Testing generated code is essential for ensuring functionality.

- Tools that execute code can streamline the coding process.

- "Vibe-coding" encourages a creative and exploratory approach to programming.