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> ## Documentation Index
> Fetch the complete documentation index at: https://daily.dev/llms.txt
> Use this file to discover all available pages before exploring further.

# Back Button

**[Unity](https://daily.dev/sources/unity)** · 6 min read · 2 upvotes · 0 comments

## Summary

Stacey Haffner, an indie game developer and former Microsoft developer advocate, shares five practical tips for using GitHub Copilot effectively within Unity. Key advice includes managing the AI context window by breaking complex features into focused agent-handled chunks, configuring the .github folder with custom instructions, agent personas, and modular skills, using plan mode before writing any code, treating AI-generated code like a pull request with /Explain and /Review commands, and leveraging Copilot as a personalized tutor to learn Unity concepts like Shader Graph incrementally. Unity's in-Editor AI assistant is available in open beta with a free 14-day trial.

## Full article

daily.dev links to this article rather than hosting it. Read it at the original source: <https://unity.com/blog/5-tips-for-using-github-copilot-with-unity>

## Questions this post answers

### How can I structure my GitHub Copilot workflow to avoid degraded responses from a full context window?

Structure work around the context window limit from the start rather than waiting until performance degrades. Use a main chat thread to orchestrate complex features by breaking work into focused chunks, then spin up separate background agents for implementation and validation, since each agent works in its own context and keeps the main thread performing consistently longer.

_daily.dev surfaces workflow tips like this for developers tuning their AI coding agent setups._

### What files can I add to the .github folder to customize GitHub Copilot's behavior in a Unity project?

Three file types help customize Copilot: custom instructions (always-on context defining coding conventions, Unity engine version, and architecture patterns), agents (domain-expert personas with dedicated tools for areas like shaders or UI Toolkit), and skills (modular instructions that load only when a specific task triggers them, keeping context efficient).

_Developers configuring project-specific AI behavior can find setup guides like this on daily.dev._

### How does plan mode work in GitHub Copilot before writing code?

Using the /plan command followed by specific instructions has GitHub Copilot reason through the codebase and requests to map out an implementation path before writing any code. Describing the feature in detail and letting the AI ask clarifying questions surfaces edge cases, after which it defines the systems, classes, and methods needed before implementation begins.

_daily.dev helps developers planning AI-assisted feature work compare approaches like this one._

## Similar posts on daily.dev

- [GitHub Copilot tutorial: How to build, test, review, and ship code faster \(with real prompts\)](https://daily.dev/posts/github-copilot-tutorial-how-to-build-test-review-and-ship-code-faster-with-real-prompts--lyeseh4bm) · GitHub Blog · 2 upvotes · 0 comments
- [Quickstart with GitHub Copilot](https://daily.dev/posts/quickstart-with-github-copilot-2dras5fhj) · Serokell · 0 upvotes · 0 comments
- [Getting started with GitHub Copilot in Visual Studio or VS Code](https://daily.dev/posts/getting-started-with-github-copilot-in-visual-studio-or-vs-code-3or4rwi6m) · InfoWorld · 0 upvotes · 0 comments

---

Tags: [#llm](https://daily.dev/tags/llm), [#github](https://daily.dev/tags/github), [#game-development](https://daily.dev/tags/game-development), [#unity](https://daily.dev/tags/unity)

[View this post on daily.dev](https://daily.dev/posts/back-button-8haegxzbc)

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