C#

A practical, code-first guide to building production-ready AI agents and multi-agent systems in C# with Microsoft Agent Framework, Microsoft.Extensions.AI, tools, context, orchestration, observability, workflows, and enterprise-ready patterns.

Your ORM works until it doesn't: a query returns ten thousand duplicated rows, a migration refuses a partitioned table, or the feature the product needs is one PostgreSQL has had for years. Twenty-one chapters that close the gap — LINQ translation, query plans, JSONB, full-text search, PostGIS and pgvector, then auditing, multi-tenancy and deployment. Every listing run against a live database. Every output captured, never typed.

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.

Dieses kompakte .NET 11.0-Buch ist DAS Umsteigerbuch für Entwicklerinnen und Entwickler, die bisher mit .NET 10.0 gearbeitet haben. Es zeigt systematisch und anhand von vielen praktischen Programmcodebeispielen die Neuerungen in .NET 11.0 in folgenden Bereichen auf: - Neuerungen an den .NET 11.0 SDK-Werkzeugen- Neuerungen in C# 15.0- Neuerungen in der .NET 11.0-Klassenbibliothek- Neuerungen in System.Text.Json 11.0- Neuerungen in Entity Framework Core 11.0- Neuerungen in Blazor 11.0- Neuerungen in ASP.NET Core 11.0- Neuerungen für WPF 11.0- Neuerungen für Windows Forms 11.0- Neuerungen in .NET MAUI 11.0 Dieses Buch ist kein Einsteigerbuch für .NET-Neueinsteiger. Es richtet sich ausschließlich an Umsteiger(innen) von .NET 10.0.

gain an advanced understanding of the mathematics behind functional programming

Ninety-two C# features, from C# 5 to C# 14, organized by the problems they solve — with verbatim code from five runnable projects and seven production-ready patterns, all on .NET 10 LTS.

Unlock the power of Modern C# with the ultimate beginner's guide. Go from your very first line of code to designing custom objects and classes. Master essential concepts: data management, control flow logic, and reusable methods. Lay the rock-solid foundation for advanced AI, Azure, and Unity game development.

An illustrated book perfect for teaching your little ones the basics of the C# programming language!

Helping C# and .NET developers to learn how to do machine learning and become highly sought-after (and well-paid) AI engineers. No prior experience of ML required!

High-Performance Real-Time Systems in .NET Engineering ultra-low-latency, high-throughput real-time systems with .NET, WebSockets, SignalR, Kestrel, and distributed architectures. Modern real-time applications are expected to maintain persistent connections, process massive event streams, synchronize distributed state, and deliver predictable latency under extreme concurrency.

Go beyond writing code that works. Learn what really happens inside .NET, from C# and the JIT to memory, CPU execution and the operating system. This practical guide shows experienced developers how to measure performance, find real bottlenecks and make targeted improvements that hold up in production.

Stop choosing between an AI that's powerful and one you can certify. From Shannon's entropy to a reproducible, auditable Industry Language Model — built in C#, wrapped in Deterministic Islands, with every number independently verified.

Forget IShape — it's time to build software that actually does something. OrderFlow takes ten classic Gang of Four design patterns and weaves them into a single, fully functional food delivery platform built with C# and .NET 10. Clone the repository, step through the production-grade code, and finally master not just how to write patterns, but when to use them (and when to keep it simple).

Quantum mechanics, the nucleus, and quantum computing — from what you already know as an engineer to a quantum computer you build in C#. Full rigour, honest limits, no hype. For the engineer who will model them.

From containers and Kubernetes to autoscaling, observability, Prometheus, Grafana, SLOs, security, and production failure. Volume III shows how distributed architecture becomes an operable, measurable, evidence-driven production system.