Self-Improving Python Scripts with LLMs: My Journey

As a developer, I've always been fascinated by the idea of self-improving code. Recently, I've been experimenting with using Large Language Models (LLMs) to make my Python scripts more autonomous. In this article, I'll share my experience with integrating LLMs into my Python scripts and how they've improved over time. I'll also provide a step-by-step guide on how to get started with this technology. My journey began with the llm_groq module, which provides a simple interface for interacting with LLMs. I started by using the llm_groq module to generate new code based on existing code snippets. The idea was to create a script that could learn from its own codebase and generate new features or improvements. The first challenge I faced was figuring out how to integrate the llm_groq module into my existing Python scripts. After some trial and error, I came up with a simple workflow that involved the following steps: 1. Code Analysis: I used the ast module to parse my Python scripts and extr