May 11, 2026
This chapter explores architectural patterns and practical techniques for leveraging Claude Code to refactor complex Java microservices, focusing on code understanding, transformation, and integration with Azure.
May 04, 2026
This chapter explores essential security patterns for both MCP server deployments and end-to-end AI pipelines, focusing on best practices for .NET and Java developers on Azure. We'll delve into identity management, data protection, and secure communication to build robust and trustworthy AI systems.
April 28, 2026
This chapter delves into building robust Retrieval Augmented Generation (RAG) pipelines by integrating Azure AI Search for intelligent retrieval and Claude Code for advanced generation. We will explore architectural considerations, practical implementation patterns, and best practices for experienced developers.
April 27, 2026
This chapter explores sophisticated techniques for managing Claude's context window when working with extensive codebases, focusing on architectural patterns and practical implementation strategies for .NET developers. We will delve into advanced RAG, context distillation, and agentic approaches to overcome limitations and enhance AI-assisted code comprehension and generation.
April 20, 2026
This chapter explores essential security patterns for Multi-Container Platform (MCP) servers and AI pipelines, focusing on practical implementation within .NET and Azure. We'll cover architectural considerations and code-level best practices to fortify your AI-driven applications.
April 13, 2026
This chapter provides a deep dive into building robust Retrieval Augmented Generation (RAG) pipelines leveraging Azure AI Search and Claude, focusing on architectural considerations and practical implementation for experienced developers. We will explore best practices for data indexing, query formulation, and model interaction within a .NET context, alongside common pitfalls and mitigation strategies.
April 06, 2026
This chapter explores the practical application of Clean Architecture principles in .NET, demonstrating how Claude Code can significantly accelerate its implementation and maintenance. Learn to design and build robust, maintainable systems while leveraging AI for boilerplate generation and code comprehension.
April 03, 2026
This chapter details the architectural patterns and practical implementation of automated software delivery pipelines driven by Product Owner intent and validated by AI QA, leveraging Claude Code and Azure AI. We will explore how to bridge the gap between initial product vision and robust, tested software.
