With the popularity of AI programming assistants like Claude Code and GitHub Copilot, developers face a new challenge: how to maintain a consistent AI collaboration experience across different projects and tech stacks?
Each project has its own directory structure, tech stack choices, and coding standards, so AI assistants need to repeatedly adapt to these differences. Worse still, when AI operates freely without constraints, it may introduce code that does not conform to the project style, or even cause security risks.
Uzys Claude Harness (hereinafter referred to as "Harness") is designed to solve these problems. It provides a lightweight yet complete framework to make AI-assisted development predictable, reproducible, and scalable.