C# Programming Language Articles

C# is Microsoft’s modern, statically-typed language for .NET development. This collection explores C# features, language evolution, practical patterns, and techniques for writing clear, efficient code in the C# ecosystem.

Language Evolution and Features

C# has evolved significantly since its creation, adopting features from other languages and innovating independently. Modern C# (10+) includes records for immutable types, nullable reference types for null-safety, pattern matching for elegant code flow, and async/await for asynchronous programming.

Records provide concise syntax for immutable data types with structural equality, ideal for domain models and data transfer objects.

Nullable Reference Types make null-safety explicit at compile time, preventing the infamous “billion-dollar mistake” of null reference exceptions.

Pattern Matching enables elegant code for type checking, null checking, and property matching without verbose if-else chains.

Async/Await abstracts the complexity of asynchronous programming, enabling responsive applications without callback hell.

Practical C# Development

Articles in this section cover language features, effective C# patterns, performance optimization, LINQ mastery, and integration with .NET libraries. Topics include null handling strategies, immutability patterns, error handling approaches, and leveraging type system features.

The goal is writing C# code that’s not just correct but also expressive, maintainable, and performant—code that communicates intent clearly and resists bugs through type safety and language features.

Most Software Teams Are Lying to Themselves—2026 Needs to Be Different

Happy New Year 2026! 🎉

Fix one piece of technical debt this week—not next quarter. .NET 10, analyzers, and tests are ready; discipline is the only missing part.

2025 in Review: The Year .NET Stopped Lying to Itself

Forget the hype—2025 was when .NET tooling finally stopped pretending complexity doesn’t exist Three tools won by being honest: Aspire exposed topology, TUnit killed flaky tests, Testcontainers made infrastructure real

.NET CLI 10 – Microsoft Finally Realizes DevOps Exists

The .NET CLI? Reliable. Boring. You run dotnet build, dotnet test, dotnet publish, done. Real DevOps work happens in Dockerfiles, CI/CD configs, and specialized tools. The CLI does its job but was never built for actual operational workflows.

.NET 10 changes this. Four additions that sound minor but fix real problems I’ve hit in production pipelines for years: native container publishing, ephemeral tool execution, better cross-platform packaging, and machine-readable schemas. Not flashy. Not keynote material. But they’re the kind of improvements that save hours every week once you’re running them at scale.

Will they replace your current workflow? Depends on what you’re building. Let’s look at what actually changed.

Why Your Logging Strategy Fails in Production

Let me tell you what I’ve learned over the years from watching teams deploy logging strategies that looked great on paper and failed spectacularly at 3 AM when production burned.

It’s not that they didn’t know the theory. They’d read the Azure documentation. They’d seen the structured logging samples. They’d studied distributed tracing. The real problem was different: they knew what to do but had no idea why it mattered until production broke catastrophically.

.NET Job Scheduling — Choosing the Right Framework

Synthesizing the series into actionable guidance with feature comparisons, suitability ratings, and decision frameworks. Select the scheduler that matches your operational model, infrastructure constraints, and team priorities.

.NET Job Scheduling — TickerQ and Modern Architecture

TickerQ represents the next generation of .NET schedulers with compile-time validation, reflection-free execution, and SignalR-powered monitoring. Understand when modern architecture patterns and performance optimizations justify adopting newer frameworks over established alternatives.

Power of Ten Rules: More Relevant Than Ever for .NET

Gerard Holzmann’s Power of Ten rules prevented spacecraft failures and exposed Toyota’s fatal throttle bugs. Four rules transfer directly to C# with superior enforcement. Three become irrelevant thanks to the managed runtime.

The verdict: These principles aren’t just valid. They’re finally enforceable without heroic manual effort.

.NET Job Scheduling — NCronJob and Native Minimalism

NCronJob leverages IHostedService for lightweight scheduling with zero external dependencies. Understand when minimal infrastructure and native ASP.NET Core integration outweigh advanced features for cloud-native architectures.

.NET Job Scheduling — Coravel and Fluent Simplicity

Coravel prioritizes developer velocity with fluent APIs, zero infrastructure, and integrated features like queuing and caching. Understand when convenience and rapid iteration trump persistence and clustering for practical application development.

.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.