Why Async Can Be Slower in Real Projects?
Async/await is powerful but overused. This guide breaks down async misconceptions, shows real enterprise use cases, and gives you a practical decision framework for async in C#.
C-Sharp
Prefer Interfaces Over Abstract Classes in C#: Build Flexible, Testable, and Maintainable Code
Learn why experienced C# developers choose interfaces over abstract classes 95% of the time. Real-world examples, team benefits, and clean architecture tips.
IEquatable in C#: Why Every .NET Developer Should Master Custom Equality
Master IEquatable in C# to optimize equality checks, improve collection performance, and eliminate boxing overhead. Essential for value types and collections.
Polymorphism in C#: How Template Method, Strategy, and Visitor Patterns Make Your Code Flexible
Polymorphism isn’t just a language feature, it’s a way to build systems that are easier to extend, change, and maintain. Learn how polymorphism powers design patterns like Template Method, Strategy, and Visitor in C#.
C# Default Interface Methods: Future-Proof and Backward-Compatible APIs
A practical guide to C# Default Interface Methods: how to use them, when to avoid them, and how they help you build future-proof APIs.
Encapsulation Best Practices in C#: Controlled Setters vs Backing Fields
Discover the best practices for encapsulation in C#. Learn when to use auto-properties, when to switch to backing fields, and how to keep your property setters clean, focused, and maintainable with practical examples and actionable guidelines.
Avoiding Boxing with Struct Dictionary Keys in C#: Performance and Best Practices
Discover why structs as dictionary keys can cause hidden allocations in C#. Learn how to implement IEquatable, use readonly and record structs, and write allocation-free, high-performance code for hot paths.
Guard Clauses in C#: Cleaner Validation and Fail-Fast Code
Discover how guard clauses in C# simplify validation and error handling. Learn to write fail-fast code, avoid nested conditionals, and keep business logic clean with modern language features and reusable helpers.
High-Volume File Processing in C#: Efficient Patterns for Handling Thousands of Files
TL;DR: Efficient C# File Processing Strategies Prevent system crashes: Avoid naive parallel processing that launches thousands of concurrent file operations. Optimize throughput: Use SemaphoreSlim to control concurrency (start with 2x CPU cores) for balanced performance. Reduce memory consumption: Implement true async I/O with useAsync: true and process files line-by-line instead of loading them entirely. Minimize database overhead: Batch related records from multiple files before making database calls. Maximize system resources: For production systems, implement adaptive throttling that responds to CPU/memory conditions. Leverage modern C# features: Use IAsyncEnumerable for efficient streaming and TPL Dataflow for complex processing pipelines. Ever tried to build an import tool that needs to process thousands of CSV files at once? I have, and I learned the hard way that simply starting a thousand file operations simultaneously is a recipe for disaster. ...
C# Abstract Class vs Interface: 10 Real-World Questions You Should Ask
Quick Reference Table Feature Abstract Class Interface When to Use Inheritance Single only Multiple allowed Abstract: shared logic; Interface: contracts Implementation Can provide Contract only Abstract: code reuse; Interface: flexibility Constructors Supported Not allowed Abstract: initialization; Interface: pure contracts State/Fields Yes No Abstract: data sharing; Interface: behavior only Performance Slightly faster Virtual dispatch Abstract: hot paths; Interface: most scenarios Testing Can be difficult Easy with mocks Abstract: integration tests; Interface: unit tests Common Pitfalls: ...