AI Assistants for C# (.NET) Development: Tools Overview 2024

Online Python Trainer for Beginners

Learn Python easily without overwhelming theory. Solve practical tasks with automatic checking, get hints in Russian, and write code directly in your browser — no installation required.

Start Course

AI Tools for C# (.NET) Development: How Neural Networks Are Changing Code Writing

The .NET ecosystem is rapidly evolving, and artificial intelligence has become an integral part of the modern C# developer's workflow. If previously neural networks were mainly associated with Python, today powerful AI assistants are available for the Microsoft platform as well. In this overview, we will look at the best tools that help write, debug, and refactor C# code faster and with higher quality.

Top 5 AI Tools for .NET Developers

GitHub Copilot — the undisputed market leader. It works on the basis of OpenAI Codex, deeply integrated into Visual Studio and Rider. Copilot doesn't just complete lines, but generates entire methods, LINQ queries, and even Unit tests. It is especially useful when working with ASP.NET Core — instantly suggests service configurations and middleware.
CodeGeeX — a free alternative from 智谱AI (Zhipu AI). Supports C# and F#, can translate code between languages (for example, from Python to C#). It handles boilerplate code for Entity Framework and WPF excellently.
Tabnine — AI autocompletion that works completely locally (cloud version available). It stands out for its high speed and support for custom models trained on your code. Ideal for teams with strict code security requirements.
Amazon CodeWhisperer — a free tool from AWS. It is particularly strong in integration with cloud services: automatically generates code for working with S3, DynamoDB, and Lambda from C#. Includes a vulnerability scanner.
JetBrains AI Assistant — built into Rider and ReSharper. It can analyze project context, suggest refactoring based on patterns (for example, replacing switch with polymorphism), and write XML comment documentation.

How AI Simplifies Everyday Tasks for C# Developers

Modern neural networks for .NET solve specific problems:

Creating CRUD operations — AI generates controllers, services, and repositories for Entity Framework Core in seconds.
Writing unit tests — tools like Copilot analyze your code and suggest tests for xUnit and NUnit, including mock objects.
Migrations and configuration — assistants help write Fluent API for EF Core and configure DI containers.
Refactoring legacy code — JetBrains AI Assistant offers options for transforming outdated .NET Framework code into modern .NET 8/9.

Practical Example: GitHub Copilot in Action

Imagine you need to implement a service for working with the Telegram Bot API in C#. Instead of manually writing HttpClient requests and JSON deserialization, it's enough to describe the method with a comment: // Get a list of updates from the Telegram API. Copilot will immediately suggest a ready-made asynchronous method with error handling and pagination. This reduces development time by 2-3 times.