Introduction: Building distributed applications has always been one of the most challenging aspects of modern software development. The complexity of service discovery, configuration management, health monitoring, and observability can overwhelm teams before they write a single line of business logic. .NET Aspire, Microsoft’s opinionated framework for cloud-native development, fundamentally changes this equation. After spending months […]
Read more →Author: Nithin Mohan TK
Hello Namaste! 👋🏻
I'm an accomplished Enterprise Solution Architect & Engineering Leader with 20+ years of progressive experience architecting, building, and scaling transformative enterprise solutions.
⚜️ Solution Architect / AI & Cloud 📌 Galway, Ireland
Automated Code Generation with Microsoft AutoGen: Building AI-Powered Development Teams
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 […]
Read more →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.
Read more →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 […]
Read more →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 […]
Read more →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 […]
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