Steven Mays shares his experience optimizing Claude Code, an AI coding assistant. Initially, he used it with default settings, which limited its potential. He realized that by customizing Claude to fit his workflow instead of the other way around, he could achieve better results. The article outlines a structured approach to this customization, detailing how to set up files that dictate Claude's behavior, domain expertise, and workflow commands. The customization is organized into a directory structure under ~/.claude/, including global settings, skills for specific coding patterns, commands for shortcuts, and hooks for enforcing coding standards. Mays emphasizes the importance of project-specific instructions housed in a CLAUDE.md file, which guides Claude's operations based on the project's context. He provides a template for this file, covering essential areas like project overview, commands, directory structure, and core principles that shape the coding process. Mays also discusses the skills feature, which allows users to encode specialized knowledge, such as TypeScript patterns and AWS practices. These skills help Claude apply specific coding conventions automatically. He highlights how this combination of organization and customization leads to a more tailored coding assistant, yielding code that aligns closely with team standards and practices. This method not only improves output quality but also reduces unnecessary iterations in problem-solving.