In this article, Jamie Tanna shares insights and personal experiences from building an AI agent for Renovate configuration, emphasizing the simplicity of implementation and the incremental improvements to functionality. It addresses skepticism towards AI while exploring practical uses for LLM agents, guided by lessons learned during the development process. The agent aims to help users generate valid Renovate configurations through a series of tools and interactions. Tanna encourages readers to explore building their own agents.