Interaction through cursor

Use Cases

1. Kubernetes Resource Management via LLM

• Interactive Resource Management: Manage Kubernetes resources through natural language interaction with LLM, eliminating the need to memorize complex kubectl commands
• Batch Operations: Describe complex batch operation requirements in natural language, letting LLM translate them into specific resource operations
• Resource Status Queries: Query cluster resource status using natural language and receive easy-to-understand responses

2. Automated Operations Scenarios

• Intelligent Operations Assistant: Serve as an intelligent assistant for operators in daily cluster management tasks
• Problem Diagnosis: Assist in cluster problem diagnosis through natural language problem descriptions
• Configuration Review: Leverage LLM's understanding capabilities to help review and optimize Kubernetes resource configurations

3. Development and Testing Support

• Quick Prototype Validation: Developers can quickly create and validate resource configurations through natural language
• Environment Management: Simplify test environment resource management, quickly create, modify, and clean up test resources
• Configuration Generation: Automatically generate resource configurations that ...