> ## Documentation Index > Fetch the complete documentation index at: https://docs.cubent.dev/llms.txt > Use this file to discover all available pages before exploring further. # Agent Mode > Autonomous AI coding with minimal supervision ## Overview Agent Mode transforms Cubent Coder into an autonomous coding assistant that can work independently on complex tasks with minimal supervision. Instead of back-and-forth conversations, you give the agent a high-level goal, and it breaks down the task, creates a plan, and executes it step by step. ## How Agent Mode Works ### 1. Task Planning When you give the agent a task, it: * Analyzes the requirements * Breaks down the task into smaller steps * Creates an execution plan * Identifies potential challenges ### 2. Autonomous Execution The agent then: * Executes each step of the plan * Makes decisions based on context * Handles unexpected issues * Adapts the plan as needed ### 3. Progress Monitoring Throughout execution, you can: * Monitor progress in real-time * Intervene when necessary * Approve or reject specific actions * Provide additional guidance ## Getting Started ### Activating Agent Mode 1. Open the Cubent Coder panel 2. Click the "Agent Mode" button 3. Describe your high-level task or goal 4. Review the generated plan 5. Approve execution or request modifications ### Example Tasks **Feature Development:** ``` Create a user authentication system with login, signup, and password reset functionality using React and Node.js ``` **Bug Fixing:** ``` Find and fix all TypeScript errors in the project, ensuring type safety throughout the codebase ``` **Code Refactoring:** ``` Refactor the legacy jQuery code to modern React components while maintaining all existing functionality ``` **Testing:** ``` Add comprehensive unit tests for all API endpoints with at least 90% code coverage ``` ## Agent Capabilities ### Code Operations * **File Creation**: Generate new files and directories * **Code Modification**: Update existing code across multiple files * **Dependency Management**: Install and configure packages * **Configuration**: Set up build tools, linters, and formatters ### Development Tasks * **Feature Implementation**: Build complete features from scratch * **Bug Resolution**: Identify and fix issues systematically * **Code Review**: Analyze code quality and suggest improvements * **Documentation**: Generate comprehensive documentation ### Project Management * **Architecture Planning**: Design system architecture * **Migration Tasks**: Upgrade frameworks and dependencies * **Performance Optimization**: Identify and resolve bottlenecks * **Security Audits**: Find and fix security vulnerabilities ## Configuration Options ### Approval Settings Configure what actions require your approval: * **Auto-approve safe actions**: File reads, code analysis * **Require approval for**: File modifications, package installations * **Always ask for**: Destructive operations, external API calls ### Execution Limits Set boundaries for agent behavior: * **Maximum execution time**: Prevent runaway tasks * **File modification limits**: Restrict scope of changes * **API call limits**: Control external service usage * **Resource usage**: Monitor CPU and memory consumption ### Custom Instructions Provide project-specific guidelines: ``` Always use TypeScript for new files Follow the existing code style and patterns Add JSDoc comments for all public functions Write tests for any new functionality ``` ## Best Practices ### Writing Effective Agent Tasks 1. **Be Clear and Specific** ``` ❌ "Make the app better" ✅ "Improve the app's performance by optimizing database queries and implementing caching" ``` 2. **Provide Context** ``` ✅ "Add user authentication to the existing Express.js API, using JWT tokens and bcrypt for password hashing" ``` 3. **Set Boundaries** ``` ✅ "Refactor the user service module without changing the public API interface" ``` ### Monitoring Agent Progress * **Review the plan** before approving execution * **Check intermediate results** during long-running tasks * **Intervene early** if the agent goes off-track * **Provide feedback** to improve future performance ### Safety Considerations * **Start with small tasks** to build confidence * **Use version control** to track all changes * **Review all modifications** before committing * **Test thoroughly** after agent completion ## Advanced Features ### Multi-Step Workflows Chain multiple agent tasks together: 1. **Analysis Phase**: "Analyze the codebase and identify performance bottlenecks" 2. **Planning Phase**: "Create a detailed optimization plan based on the analysis" 3. **Implementation Phase**: "Implement the optimization plan step by step" ### Collaborative Mode Work alongside the agent: * **Pair programming**: Agent writes code while you review * **Task delegation**: Assign specific subtasks to the agent * **Knowledge sharing**: Agent learns from your feedback ### Integration with Tools Agent Mode integrates with: * **Version Control**: Automatic commit messages and branch management * **Testing Frameworks**: Run tests after code changes * **CI/CD Pipelines**: Trigger builds and deployments * **Code Quality Tools**: Ensure standards compliance ## Troubleshooting ### Common Issues **Agent gets stuck:** * Provide more specific instructions * Break down the task into smaller parts * Check for conflicting requirements **Unexpected results:** * Review the initial task description * Check approval settings * Provide additional context or constraints **Performance issues:** * Reduce task complexity * Set execution time limits * Monitor resource usage ### Getting Help If you encounter issues with Agent Mode: 1. Join our [Discord community](https://discord.gg/cubent) 2. Report bugs on [GitHub](https://github.com/LaxBloxBoy2/Cubent/issues) 3. Check our community resources for help ## Next Steps Create specialized AI personas for specific workflows Extend capabilities with Model Context Protocol