.NET / C#
18 moments from 9 videos · 59:07 min total
This collection brings together practical advice on .NET and C# architecture, memory management, and asynchronous programming patterns for backend engineers.
Introduction to systems programming and performance in .NET
Setting a baseline for performance measurements and low-level code expectations in C#.
Unifying frontend and backend with C# and .NET
Utilizing C# for both frontend and backend development eliminates context switching and streamlines software engineering.
Introduction to Blazor for seamless web development
Blazor provides a powerful ecosystem for building web applications using C# instead of JavaScript.
Overview of modern C# feature selections
An introduction to the community's favorite recent language syntax additions inside modern C# development.
Creating game windows and using file-scoped types
How to encapsulate UI callbacks cleanly by combining new C# records with file-scoped class modifiers.
Setting up an isometric game using WPF and SkiaSharp
How to configure an isometric C# game effectively starting with WPF and Skia engine rendering assets.
Insights on upcoming features and learning via games
How extending core framework APIs handling extension modeling paired with generative AI assists beginners grasping application workflows.
Understanding the basics of .NET source generators
Hook into the Roslyn compiler pipeline to deterministically generate C# code based on existing syntax trees.
Generating C# code from external configuration files
Utilize the AdditionalTextProvider approach to inspect and generate native code directly from external unmanaged files.
Building enterprise artificial intelligence software in .NET
Integrating generative AI capabilities into enterprise systems requires understanding specific application frameworks and platforms like C#.
Executing precision micro benchmarks with BenchmarkDotNet
Micro-benchmarking frameworks prevent statistical noise by validating execution performance over thousands of continuous iterations.
Core metrics for assessing code performance
Execution time, throughput, and memory allocations serve as the primary metrics for application performance.
Optimizing text parsing without surplus string allocations
Leveraging temporary stack buffers eliminates unnecessary garbage collection iterations during high-volume message ingestion.
Overcoming the stack constraints with memory abstractions
Substituting spans with memory references enables the usage of asynchronous methods while preserving safety rules.
Comparing slicing and array copying benchmarks
Slicing into pre-existing memory locations enables constant-time subset access without spawning duplicate objects.
Strategies for arrays and the value task struct
Adopting value tasks within mixed asynchronous scenarios mitigates the overhead of returning standard synchronous generic allocations.
Unifying frontend and backend development with ASP.NET Core Blazor
Building end-to-end web applications using a single C# and .NET technology stack eliminates the need for separate JavaScript frameworks.
Setting up prerequisites for latest development
Installing the .NET 9 SDK and Visual Studio 2022 preview is required to enable the latest compiler tools.
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