Context Engineering: How to Make AI Coding Tools Work in Real Unity Projects

AI coding assistants often struggle with mature Unity projects not because of syntax errors, but due to missing project context such as package versions, scene ownership, prefab dependencies, and platform requirements. Veteran game developer and Ubisoft Montreal alumnus argues that the quality of AI output depends entirely on how well the surrounding project context is structured and supplied. He recommends creating AI-readable project briefs that surface hidden dependencies — including serialized assets, build settings, and architectural boundaries — before writing any prompt. Smaller, well-scoped tasks paired with explicit acceptance criteria and automated tests are advised over broad feature requests. The approach, called context engineering, aims to make AI suggestions reviewable and safe for production repositories rather than experimental.