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.
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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 →GenAI Frameworks Compared: Building Real Applications with LangChain and LlamaIndex
Compare LangChain, LlamaIndex, Semantic Kernel, and more. Learn when to use each framework and build production-ready RAG systems with practical code examples.
Read more →The Python Renaissance: Why 2025 Is the Year Everything Changed for Data Engineers
🎓 AUTHORITY NOTE This analysis draws from 20+ years of Python experience in enterprise data engineering, covering production deployments at scale across multiple Fortune 500 companies. Executive Summary Something remarkable happened in the Python ecosystem over the past year. After decades of incremental improvements, we’ve witnessed a fundamental shift in how data engineers approach their […]
Read more →Generative AI Fundamentals: A Practical Guide to the Technology Reshaping Software
Cut through the hype and understand what Generative AI actually is, how it works, and why it matters. A hands-on introduction for developers and architects ready to build with LLMs.
Read more →Vertex AI Masterclass: Building Production ML Pipelines on Google Cloud
Vertex AI represents Google Cloud’s unified machine learning platform, bringing together AutoML, custom training, model deployment, and MLOps capabilities under a single, cohesive experience. This comprehensive guide explores Vertex AI’s enterprise capabilities, from managed training pipelines and feature stores to model monitoring and A/B testing. After building production ML systems across multiple cloud platforms, I’ve […]
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