Evaluating agent performance is harder than evaluating models. After developing evaluation frameworks for 10+ agent systems, I’ve learned what metrics matter and how to test effectively. Here’s the complete guide to evaluating agent performance. Figure 1: Agent Evaluation Metrics Framework Why Agent Evaluation is Different Agent evaluation is more complex than model evaluation: Multi-step reasoning: […]
Read more →Tag: AI Agents
Introduction to Microsoft Agent Framework: The Open-Source Engine for Agentic AI Apps (Part 1)
Learn about Microsoft Agent Framework (MAF), the unified open-source SDK for building production-ready AI agents. This comprehensive guide covers the architecture, key features, and how MAF combines the best of Semantic Kernel and AutoGen for enterprise agentic AI development.
Read more →Building AI Agents: A Complete Code Review Assistant from Scratch
Hands-on tutorial building a production-ready AI agent. Create a code review assistant with tool use, error handling, caching, and GitHub integration.
Read more →Google Agent Development Kit (ADK): Building Your First AI Agent – Part 1 of 5
Learn how to build production-ready AI agents with Google Agent Development Kit (ADK). This comprehensive tutorial covers architecture fundamentals, setup, and your first search assistant agent with C4 diagrams, code examples, and deployment strategies.
Read more →Function Calling Deep Dive: Building LLM-Powered Tools and Agents
Introduction: Function calling transforms LLMs from text generators into action-taking agents. Instead of just describing what to do, the model can actually do it—query databases, call APIs, execute code, and interact with external systems. OpenAI’s function calling (now called “tools”) and similar features from Anthropic and others let you define available functions, and the model […]
Read more →AI Agent Architectures: From ReAct to Multi-Agent Systems – A Complete Guide
AI agents represent a paradigm shift from simple prompt-response interactions to autonomous systems capable of planning, reasoning, and taking actions. Understanding the architectural patterns that power these agents is essential for building production-grade AI applications. ℹ️ KEY INSIGHT The evolution from chatbots to agents mirrors the transition from procedural to agentic computing – where AI […]
Read more →