Building rich C# Desktop Apps for LINUX Desktop
Discover how Avalonia UI empowers C# developers to build modern, cross-platform desktop applications for Windows and Linux. While .NET MAUI is a strong cross-platform framework for mobile and desktop, its mobile-first focus and lack of Linux support make it less suited for desktop-centric scenarios. This article explores why Avalonia UI is the better choice for creating rich desktop experiences, with native multi-window support and consistent rendering powered by Skia. Developers coming from WPF or UWP will feel right at home with Avalonia’s XAML-based approach and full MVVM support.
Protecting Your APIs with Rate Limiting in ASP.NET
Learn how to protect your ASP.NET Core APIs from DDOS abuse with built-in rate limiting in .NET 7+. Explore fixed window, sliding window, token bucket, and concurrency strategies, with code examples, benchmarks, and real-world best practices to keep your services secure and reliable.
Bash Tips & Tricks - Advanced
Unlock advanced Linux command-line tips and tricks: automate responses with yes, create and manage directories efficiently, using loops, inspect open files and network connections using lsof, and more expert-level CLI techniques.
Bash Tips & Tricks - The Basics
Tips & Tricks for the Linux Bash from Beginner to Master. Quick Linux command-line tips to search log files, count connection errors, compare files, check PostgreSQL status, manage file permissions using chmod, and monitor system usage and more.
Comparison of API Technologies
Comprehensive comparison of REST, GraphQL, and gRPC for C# .NET developers. Explore pros, cons, use cases, tooling, and real-world advice.
C# using a Local Language Model with LM Studio to Sort Screenshots
Learn how to use a local language model with C# and LM Studio to automatically sort screenshots into categories using AI and Vision Language Models (VLM). Utilize the power of visual recognition with .NET!
Smarter APIs with GraphQL
While REST is not going away anytime soon and remains perfectly suited for many use cases, GraphQL offers significant advantages for applications where flexibility, efficiency, and rapid development cycles are critical. By enabling more precise data fetching, reducing the number of network requests, and improving the overall developer experience, GraphQL is helping to shape the future of API development.
Follow this step by step guide to setup your first GraphQL Client and Server in C# with .NET!
Handling Large Files: BufferedStream vs LINQ's Chunk method
The choice between using BufferedStream and the LINQ Chunk extension method for operating with very large files depends on your specific use case and requirements. Here we discuss the pros and cons for each.
Using the Model Context Protocol (MCP) with C#
With the new MCP C# SDK, developers can efficiently manage communication between AI models and applications.
Anthropic’s Model Context Protocol (MCP) is currently making waves. It's a standardized protocol designed to streamline communication between applications and models by offering a structured way to exchange context and data between AI models and their clients. Whether you're developing AI-powered applications or integrating multiple models into a cohesive system, MCP ensures interoperability and scalability.
LLM Temperature Explained
Temperature is a key parameter in large language models (LLMs) that controls the randomness of generated text. It adjusts the probability distribution used when predicting the next token in a sequence. A lower temperature makes the model more deterministic, favoring highly probable tokens and producing more consistent, coherent outputs — ideal for factual or technical tasks. A higher temperature increases randomness by allowing the selection of less probable tokens, leading to more varied and creative responses, though sometimes at the cost of coherence.