AutoContext FAQs

Question 1

How does AutoContext improve AI coding assistants?

Accepted Answer

It provides workspace-aware Markdown chat instructions and MCP quality checks for code style, naming, and patterns, ensuring AI-generated code meets project standards and improves overall code consistency.

Question 2

Which programming languages and environments are supported?

Accepted Answer

It supports .NET, TypeScript, Web frameworks, and Git through its instructions and tools. AutoContext is distributed as a VS Code extension and currently integrates with GitHub Copilot, with architecture for broader assistant support.

Question 3

What is AutoContext?

Accepted Answer

AutoContext is a context toolkit for AI coding assistants (like GitHub Copilot) that provides curated instructions and quality checks to guide code generation and review, integrated as a VS Code extension.

Question 4

What kinds of quality checks does AutoContext perform?

Accepted Answer

AutoContext's MCP Tool Checks validate code style, naming conventions, async patterns, and NuGet hygiene. These checks are configurable and enforce properties defined in `.editorconfig` files.

Question 5

Can AutoContext instructions and configurations be shared with a team?

Accepted Answer

Yes, instructions and tool configurations can be easily exported to `.github/instructions/` for team sharing. The system also tracks staleness, notifying users when newer built-in versions are available.

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