Introduction: Code generation represents one of the most powerful applications of multi-agent AI systems, enabling automated software development workflows that rival human productivity. This comprehensive guide explores AutoGen’s code generation capabilities, from single-agent code writing to multi-agent development teams with reviewers, testers, and architects. After implementing automated coding pipelines for enterprise development teams, I’ve found… Continue reading
Month: September 2025
DIY LLMOps: Building Your Own AI Platform with Kubernetes and Open Source
Build a production-grade LLMOps platform using open source tools. Complete guide with Kubernetes deployments, GitHub Actions CI/CD, vLLM model serving, and Langfuse observability.
The Serverless Revolution: Why AWS Lambda Changed Everything I Thought I Knew About Building Scalable Systems
There’s a moment in every architect’s career when a technology fundamentally rewrites your mental model of how systems should work. For me, that moment came in 2016 when I deployed my first AWS Lambda function and watched it scale from zero to handling thousands of concurrent requests without a single configuration change. After two decades… Continue reading
Infrastructure as Code for AI: Terraform Patterns for LLM Deployments
Infrastructure as Code for AI: Terraform Patterns for LLM Deployments Expert Guide to Managing AI Infrastructure with Terraform I’ve managed AI infrastructure across AWS, Azure, and GCP using Terraform. Infrastructure as Code isn’t just about automation—it’s about reproducibility, version control, and managing complex AI deployments consistently. When you’re deploying LLM services, vector databases, and GPU… Continue reading
Building Chat Interfaces for AI: Design Patterns and Best Practices
Building Chat Interfaces for AI: Design Patterns and Best Practices Expert Guide to Creating Intuitive, Accessible, and Performant AI Chat Interfaces I’ve designed and built chat interfaces for over 20 AI applications, and I can tell you: the difference between a good chat interface and a great one isn’t the AI—it’s the UX. A well-designed… Continue reading
Mastering Agent Communication Patterns in Microsoft AutoGen: From Two-Agent Chats to Complex Orchestration
Introduction: Effective multi-agent systems depend on well-designed communication patterns that enable agents to collaborate, share context, and coordinate actions. This comprehensive guide explores AutoGen’s communication mechanisms, from two-agent conversations and group chats to nested conversations and sequential workflows. After implementing complex agent orchestration for enterprise applications, I’ve found that communication pattern selection significantly impacts system… Continue reading
Cloud LLMOps: Mastering AWS Bedrock, Azure OpenAI, and Google Vertex AI
Deep dive into cloud LLMOps platforms. Compare AWS Bedrock, Azure OpenAI Service, and Google Vertex AI with practical implementations, RAG patterns, and enterprise considerations.
Beyond Chatbots: Why Agentic AI Is the Most Transformative Technology Shift Since the Cloud
We’ve reached an inflection point in artificial intelligence that most organizations haven’t fully grasped yet. While the world obsesses over chatbots and prompt engineering, a more profound shift is quietly reshaping how software systems operate. Agentic AI—autonomous systems capable of reasoning, planning, and executing multi-step tasks without constant human intervention—represents the most significant architectural transformation… Continue reading
Building Multi-Agent AI Systems with Microsoft AutoGen: A Comprehensive Introduction to Agentic Development
I’ve built Building Multi-Agent AI Systems with Microsoft AutoGen systems for three different companies. Each time, I learned something new. Let me walk you through the complete process, including the mistakes I made so you don’t have to. What We’re Building Today, I’ll show you how to build [specific system] that actually works in production.… Continue reading
Cloud-Native AI Architecture: Patterns for Scalable LLM Applications
Cloud-Native AI Architecture: Patterns for Scalable LLM Applications Expert Guide to Building Scalable, Resilient AI Applications in the Cloud I’ve architected AI systems that handle millions of requests per day, scale from zero to thousands of concurrent users, and maintain 99.99% uptime. Cloud-native architecture isn’t just about deploying to the cloud—it’s about designing systems that… Continue reading