C#

From Flow to Proof turns distributed-system promises into explicit models, properties, counterexamples, and evidence. Explore state machines, contracts, temporal logic, concurrency, ownership, refinement, and honest proof boundaries—with companion artifacts at github.com/gregory82gr/Nexus-1-phase-0.

Build production-grade RAG systems in C# — from an 80-line Hello World to a fully deployed Azure pipeline with the Microsoft Agent Framework, MCP, GraphRAG, multi-agent orchestration, eval gates, and EU AI Act-ready audit trails. 682 pages, 25 chapters, one evolving enterprise project, every line of code runnable in .NET 10.

Build microservices the way architects do—not by splitting code, but by discovering true boundaries. Using the NEXUS-1 digital twin, this book explores DDD, APIs, messaging, eventual consistency, sagas, resilience, and migration, showing when distributed systems are worth their cost.

Learn how to build autonomous, production-ready multi-agent AI systems in C# with .NET. Using Harness, Hermes Agents, and Loop Engineering, you'll create intelligent agents that reason, collaborate, and solve real-world problems through practical examples and hands-on projects.

Advanced DDD before microservices: From Context to Flow shows how NEXUS-1 moves from bounded contexts to domain events, integration events, outbox, sagas, anti-corruption layers, auditability, and eventual consistency.

From Queue to Core reveals the stochastic foundation behind reactor kinetics: birth–death chains, master equations, delayed neutrons, feedback, deterministic point kinetics, and C# algorithms — all explained through the NEXUS-1 demonstrator with clear boundaries and interpretable results.

A .NET architecture book that proves what it teaches: build NEXUS-1's Domain and Application layers with Clean Architecture, DDD, and CQRS — zero database, zero web server, fifty green tests. Every rule watched failing on purpose, every layer diagrammed in UML. Nineteen chapters, nineteen Deep Dives, one honestly bounded software core.

Enterprise Retrieval-Augmented Generation with C# is a practical guide to building production-ready AI applications in the modern .NET ecosystem. Learn how to design scalable, secure, and high-performance RAG systems through real-world C# examples, proven architectures and enterprise best practices.

Your C# skills are worth more today than they were a year ago — if you know how to put a language model in the loop. This book shows you how, with the Microsoft Agent Framework: real tools, RAG, multi-agent orchestration, plus the hosting, observability, and safety that separate a demo from a system you ship. Nineteen chapters. 120 runnable projects. No Python detours. Just C# and .NET 10.

A practical .NET/C# guide to building Genetic Algorithms from scratch and applying them to real-world optimization problems with 27 complete projects, visual demos, and full source code.

This book is written for you who want to build professional C# software — not just codethat compiles, but code that can be maintained, tested, scaled, and explained to others.

A practical guide to Cosmos DB for .NET developers who know relational databases and want to understand document thinking — not just the SDK. Built from a real production application, not documentation copy-paste.