Developers are facing challenges with AI in VSCode extensions that don’t follow instructions: despite configuring global AGENTS.md and workspace settings, the AI insists on modifying code rather than just providing suggestions. While setting read-only permissions can temporarily restrict behavior, frequently switching permissions creates additional overhead, affecting development efficiency. This phenomenon highlights the control challenges of AI Agents in practical applications, sparking deeper thinking about AI behavior boundaries and user instruction compliance mechanisms. The article explores real-world cases on how to optimize configurations for precise instruction control while maintaining AI initiative, offering practical advice for developers to enhance the AI-assisted development experience.
