The author shares their workflow and methods for using AI code assistants effectively, highlighting the transition from outdated tools to more efficient systems like Lima VM and Claude Code. They discuss techniques for managing code environments, using tmux for productivity, and the importance of good prompting to ensure AI-generated outputs meet development standards. The post emphasizes the need for developers to evolve their skills, particularly in understanding user needs and product design, while generating personal, practical tools rather than contributing to open-source abandonware.