June 22, 2026
Observability & Monitoring for AI-Powered Apps
This chapter delves into robust observability strategies for AI-driven applications, covering tooling, best practices, and architectural considerations for .NET and Java on Azure.
All Playbook Chapters
14 chapters
June 15, 2026
Azure AI Foundry & MCP: Enterprise AI Integration
This chapter explores how Azure AI Foundry and MCP can be integrated into enterprise workflows, providing architectural guidance and practical code examples for .NET and Java developers.
June 08, 2026
EF Core Migrations & Query Optimization with Claude
This chapter dives deep into mastering Entity Framework Core migrations and optimizing database queries by leveraging Claude Code. Learn to automate migration generation, refactor complex queries, and understand architectural considerations for intelligent data access.
June 01, 2026
Robust Agent Pipelines: Error Handling & Recovery
This chapter delves into advanced strategies for error handling, retries, and recovery mechanisms within agent pipelines, ensuring resilience and reliability for complex AI-driven workflows. We'll explore architectural patterns and practical implementation techniques for .NET and Java on Azure AI.
May 25, 2026
MCP Server: Database Querying & Schema Introspection
This chapter explores leveraging MCP Server for efficient database querying and robust schema introspection within your .NET and Java applications on Azure. Learn practical implementation patterns and architectural considerations for building intelligent data access layers.
May 18, 2026
Claude Code: Mastering Context for Large Codebases
This chapter explores advanced context window management strategies for large codebases when using Claude Code, covering architectural considerations and practical implementation patterns. We'll delve into techniques beyond basic prompt engineering to ensure effective AI-assisted development across complex projects.
May 11, 2026
Advanced Refactoring of Java Microservices with Claude Code
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
Securing MCP Servers and AI Pipelines
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
Advanced RAG with Azure AI Search and Claude Code
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
Advanced Context Window Strategies for Large Codebases with Claude
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
MCP & AI Pipeline Security: A Pragmatic Architectural Playbook
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
Architecting RAG with Azure AI Search and Claude
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
Clean Architecture in .NET, Accelerated by Claude Code
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
Architecting Product Owner to QA Delivery Pipelines with Claude Code
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.