Avoiding System.Random Pitfalls in C#

Generating random numbers in C# seems straightforward, but relying blindly on the default System.Random class can introduce subtle bugs, performance bottlenecks, and security vulnerabilities into your software. This text-only course guides you through the inner workings of pseudo-random number generators in .NET. You will transition from writing fragile random logic to implementing robust, thread-safe, and secure random data generation using modern C# features. What you'll learn: Understand the fundamental difference between pseudo-randomness and true randomness in software; Identify common seeding flaws that cause repetitive or predictable patterns in your applications; Resolve multi-threading concurrency issues associated with sharing a single random instance; Apply modern .NET solutions, such as the thread-safe Random.Shared property; Implement cryptographically secure random number generation for security-sensitive operations; Avoid value-range and distribution pitfalls when generating integers, doubles, or booleans. You will start with the foundational concepts of seeds and pseudo-random algorithms before analyzing real-world code snippets to spot vulnerabilities. The course concludes with practical, modern alternatives that keep your applications fast and secure. This course is designed for beginner to intermediate C# developers looking to write higher-quality code. No prior experience with cryptography or advanced mathematics is required. Start reading today to make your C# applications more reliable and secure.