Technical articles on backend engineering, AI, distributed systems, and more.
A deep dive into creating robust, observable AI agents using the Model Context Protocol in .NET. Covers agent lifecycle, tool registration, error handling, and deployment patterns.
Exploring event-driven patterns for building resilient distributed systems. Covers event sourcing, CQRS, saga patterns, and practical Kafka implementation strategies.
Master Redis caching patterns for .NET applications. Covers distributed caching, cache-aside, write-through, refresh-ahead, and advanced patterns like cache stampede prevention.
A comprehensive guide to building Retrieval-Augmented Generation systems. Covers chunking strategies, embedding models, vector databases, reranking, evaluation, and production hardening.
Implementing Clean Architecture in real-world .NET applications. Covers project structure, dependency rules, domain modeling, infrastructure, testing strategies, and common pitfalls.
Understanding MCP — the open standard for connecting AI models to tools and data. Covers protocol basics, server/client implementation, transport layers, and building custom MCP servers.