Building AI Agents: With Harness, MCP, and Tools

This talk covers the process of building AI agents, focusing on the use of Harness, MCP, and other essential tools. Attendees will learn about the architecture, design patterns, and best practices for developing robust and efficient AI agents. The session includes practical examples and demonstrations to provide a comprehensive understanding of the agent development lifecycle.

What You'll Learn

This comprehensive session explores the fundamentals and advanced concepts of AI agent development, providing hands-on insights into modern tooling and frameworks.

Key Topics Covered

• AI Agent Architecture and Design Patterns
• Introduction to Harness for Agent Development
• Model Context Protocol (MCP) Implementation
• Tool Integration and Orchestration
• Best Practices for Building Robust Agents
• Agent Development Lifecycle Management
• Practical Examples and Live Demonstrations
• Error Handling and Performance Optimization

Key Takeaways

By the end of this talk, attendees will understand:

1. The fundamental architecture of modern AI agents
2. How to leverage Harness for streamlined agent development
3. Implementing Model Context Protocol (MCP) in your agents
4. Best practices for tool integration and orchestration
5. Design patterns for building robust and efficient AI agents
6. The complete agent development lifecycle from concept to deployment
7. Practical strategies for debugging and optimizing agent performance