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You can enforce coding patterns by adding learned rules to an AI agent's knowledge base. This allows you to define specific best practices or constraints, ensuring the agent applies them consistently across future coding tasks.

Yes, you can organize AI coding rules into frontend, backend, testing, or general categories. This categorization guides the AI agent's behavior by grouping domain-specific patterns, such as reminding it to add data-testid for Playwright tests in the frontend category.

To stop repeated AI coding mistakes, you add a specific rule to the agent's knowledge base. By defining a pattern or constraint it must follow, the AI agent remembers this instruction and applies it correctly during future tasks.

Yes, adding and viewing signs requires a command-line interface. You use command-line commands to input new patterns or rules into the AI agent's knowledge base so it can consistently apply them across future tasks.

The limitations of using signs to enforce coding styles include relying on a command-line interface for adding and viewing rules. The system only supports categorization into frontend, backend, testing, or general domains to guide AI behavior.