Bloated AI rules files can seriously hinder your workflow. Many people end up with an AI rules file that keeps changing and is always loaded in the background. No matter which tool you use—Claude Code, Cursor, Windsurf, or another—the issue is similar: the rules file gets too big, which can cause hallucinations or ignored instructions.
Instead, use the rules file as a summary that points to permanent documentation and to the specific skills needed for the task. This method keeps your rules file focused on the basics and sends AI tools to more comprehensive information or skills only when necessary. By breaking off large sections into separate skills, you maintain better organization and clarity.
"Keep your rules file to around 200 lines. Whenever a particular section gets too big, break it off into a skill. This approach ensures that your AI environment remains efficient and your instructions remain actionable."
The Role of the .context Folder
The .context folder holds crucial references: data models, git procedures, and a project summary. It operates as a detailed, model-agnostic guide for AI to understand your work throughout various tools. This folder is essential for maintaining consistency across different AI tools and ensuring that every interaction with your codebase is informed by the same foundational knowledge.
To ensure the code is correct, include your tech stack, Git procedures, product diagrams, and key resources in the context. The .context folder helps keep your project's information up to date and accessible only when you need it. Try to maintain the context as small as possible. The smaller your context window, the less likely you'll run into hallucinations or missed instructions.
Understanding Skills
A skill is a special module that gives your AI domain expertise relevant to your project. Each skill is essentially a separate file or section containing detailed instructions, standards, or knowledge specific to a given area, such as React or Go. You can activate a skill by referencing certain words, phrases, or commands. For example, a React or Go skill might include custom guidelines that conform to your coding standards, helping reduce bugs and guaranteeing your code passes SonarQube scans.
Engineering skills can also be created to review your API setup or handle other specialized tasks. Think of skills as modular tools or employees dedicated to a specific need that you can call on when required. This approach allows you to maintain comprehensive knowledge without cluttering your main rules file.
Focus on Repeatability
People often want AI to remember everything, but when they restart the chat, it feels like starting from scratch. They try to fix this by making AI remember even more, but that's not the real issue. What you really need is repeatability.
A .context folder helps keep your project's information up to date and only when you need it. If you ask people who have used Opus with the new million-token context window, they'll tell you it doesn't always work as expected. The technology just isn't ready for huge context windows without problems.
As software developers, we use AI to work faster without losing quality. Many of us build enterprise solutions that others rely on. Start your .context folder with key project documents and procedures. A small, focused context helps your AI tools support you quickly and accurately. This is where things are headed.