Some Thoughts on AI Coding

This week, I intermittently listened to EP 66. In-depth Analysis of Coding Agent and OpenAI 03: The Future Through the Eyes of Chinese and American Agent Entrepreneurs, Researchers, and Investors, especially the part about the increasing capabilities of Coding Agents and their impact on future engineers and organizational structures. It mentioned a shift in mindset—no longer focusing on the details of writing code, but instead spending energy on asking more meaningful questions, planning products, and ensuring product-market fit. Coding Agents can take on the specific tasks of writing and executing code, while programmers play a role more akin to product managers or administrators, guiding the Agent through prompts to complete tasks and evaluating and improving the results. This allows programmers to focus on more creative and strategic work, thereby improving efficiency. The new generation of programmers should possess product thinking and founder thinking, leveraging AI tools to complete entire workflows rather than being confined to just writing code.

Some personal thoughts: The increasingly powerful capabilities of AI Coding actually place higher demands on engineers. When I was in school, I would stay up all night excited after writing a TodoList. Now, AI Coding can whip up a TodoList in a minute, with more features and even animations. However, you still need to have enough professional knowledge to discern whether the code written by AI is correct and whether the architecture is clear. At the same time, your communication skills must be strong—you need to be able to correctly convey your tasks to the AI.