.NET Development and Framework

.NET is Microsoft’s open-source, cross-platform development framework for building modern applications. From web APIs and cloud services to desktop and mobile apps, .NET provides a comprehensive ecosystem for software development across platforms and deployment targets.

.NET Platform Evolution

.NET 6+ unified the framework, bringing together .NET Core, .NET Framework, Xamarin, and Mono into a single platform with consistent APIs, performance improvements, and long-term support releases. Modern .NET emphasizes cross-platform compatibility, cloud-native architecture, and high-performance runtime characteristics.

ASP.NET Core powers web applications and APIs with minimal APIs, Blazor for interactive web UIs, SignalR for real-time communication, and gRPC for high-performance service communication.

Performance and Productivity drive .NET evolution. Each release brings runtime improvements, compiler optimizations, and language features that reduce boilerplate while maintaining type safety and performance.

.NET Ecosystem

Articles in this section explore .NET runtime features, framework updates, ASP.NET Core patterns, performance optimization, deployment strategies, and integration with cloud platforms. Topics include new language features, framework capabilities, migration paths, and best practices for .NET development.

The focus is practical .NET development: leveraging framework capabilities effectively, staying current with platform evolution, and building maintainable applications that scale.

.NET Job Scheduling — Quartz.NET for Enterprise Scale

Quartz.NET provides advanced scheduling semantics, database-backed clustering, and flexible storage for systems demanding complex workflows. Understand when enterprise features justify operational complexity and how Quartz.NET scales across distributed deployments.

.NET Job Scheduling — Hangfire and Persistent Reliability

Hangfire combines persistent job storage, automatic retries, and real-time monitoring to simplify background processing. Learn when database-backed reliability matters and how Hangfire scales from single instances to distributed workers.

.NET Job Scheduling — The Landscape

Explore the spectrum of .NET job scheduling from lightweight in-memory solutions to enterprise-grade distributed systems. Understand which approach fits your operational model and why background processing architecture matters.

NetEvolve.HealthChecks 5.0: 27+ Targeted Probes, Zero Boilerplate

NetEvolve.HealthChecks 5.0 is a decisive expansion—broader coverage scope, less boilerplate.

New domain‑specific packages extend monitoring across cloud services, messaging platforms, graph, time‑series, vector and AI backends. In parallel, the former inheritance‑driven shared base library (abstract classes + repetitive DI wiring) was replaced by purpose-built source generators—removing manual registration churn and consolidating intent. Release 5.0 also formalizes full support for .NET 10—aligning with current trimming and analyzer improvements.

.NET 10 Testing: Microsoft Finally Fixed the Test Runner (Mostly)

.NET 10 replaces VSTest with Microsoft.Testing.Platform, bringing SDK-integrated testing with faster discovery, consistent behavior across environments, and explicit configuration contracts. But it requires .NET 10, breaks old test adapters, and demands CI pipeline discipline. Here’s what actually changes, who should migrate now, and who should wait.

Code Metrics and Configuration: Beyond the Numbers Game

Code metrics have become a standard feature in modern development environments, yet their implementation and interpretation often leave much to be desired. While Visual Studio and .NET provide comprehensive code metrics analysis, the way these metrics are configured, presented, and (more critically) acted upon reveals a fundamental disconnect between measurement and meaningful improvement.

What code metrics actually measure, how to configure them properly, and (more importantly) why blindly following thresholds without understanding context is, frankly, a recipe for misguided refactoring efforts that waste your team’s time and actively damage your codebase.

.NET 10: Boring by Design, Reliable by Default

Microsoft wants you to believe .NET 10 is boring. They’re right — and that’s the best news we’ve had in years.

.NET 10 is here, and for once, Microsoft didn’t oversell it. LTS support through 2028, JIT improvements that actually matter, and C# 14 features that won’t rewrite your architecture. Here’s what you need to know before migrating.

.NET 10: Timing Is the New Technical Debt

2025 reshapes the .NET ecosystem with faster release cycles and shared responsibility. Discover why migrating to .NET 10 by Q1 2026 — and supporting your dependencies — turns timing into sustainable ROI.

.NET 10 and the Release Cycle Paradox

.NET’s yearly rhythm has become a symbol of stability — yet also a source of pressure. The release cycle paradox describes the tension between predictability and exhaustion: a release schedule that keeps the ecosystem healthy, but teams constantly catching up.

With .NET 10 on the horizon, developers must learn to navigate this rhythm rather than fight it.

Stop Breaking Multi-Targeting Builds with String Comparisons

String-based TargetFramework conditions fail silently in multi-targeting builds. IsTargetFrameworkCompatible() understands framework semantics and prevents production nightmares.

Modern Defensive Programming in .NET — Unified Throw-Helpers and Multi-Framework Compatibility

Modern .NET introduces powerful throw-helper methods such as ArgumentNullException.ThrowIfNull and ArgumentException.ThrowIfNullOrEmpty to simplify defensive programming. However, many projects still target older frameworks where these APIs are missing. This article explores how the NetEvolve.Arguments library delivers a unified, backward-compatible API that brings modern guard clause patterns to every .NET version, ensuring consistent validation, maintainability, and multi-framework compatibility.

Your Tests Are Lying — Mutation Testing in .NET

It begins like many stories in software: a well-intentioned developer joining a project, determined to do things properly. You arrive at a codebase that has grown organically, perhaps even chaotically. You decide you will bring order. You set up unit testing, you configure continuous integration, you measure code coverage. You write dozens or hundreds of tests. Every public method is touched, every branch is at least executed. The dashboard lights up green. You feel, quite frankly, on top of things.

Then one day, production breaks under your watch