Want to quickly understand how Code Agent works? This is a minimal implementation with over 200 lines of code, especially suitable for beginners to grasp the idea.

The core process is straightforward: first, receive your coding requirements, then use system prompts to make the large model understand that it is a coding assistant and inform it of the current working directory. Next, enter the Agent loop—let the model analyze the task, generate code, execute feedback, and iterate for optimization until the task is completed.

This minimal approach removes complex abstraction layers, making the code logic very clear, which is especially helpful for understanding the fundamental operation mechanism of the Agent. If you are learning AI-driven development or want to build your own programming tools, this reference implementation can help you avoid detours.