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How GitHub Copilot and GitHub Codespaces Makes Open Source Contributions Easier Than Ever

For years, contributing to open source felt like jumping on a running horse. You had to understand the codebase, learn the conventions, set up the environment, and hope you didn’t break something on your first pull request. It was rewarding, but not exactly easy.
With GitHub Copilot and GitHub Codespaces, contributing to open source is no longer about “knowing everything” before you start. It’s about learning as you go. You can explore a new repository by asking natural-language questions, get precise guidance on how to edit code safely, or even automate the testing process without knowing every line of the project.
AI is transforming open source from an intimidating experience into a collaborative learning playground. Whether you’re a developer, an IT professional, or someone just curious about a new technology, GitHub Copilot now makes it easier than ever to take that first step, and make a real contribution.
Instant Development Environments with GitHub Codespaces
Before you even write a single line of code, you need a working environment—and that’s where many contributors get stuck. Setting up dependencies, matching the project’s configuration, or avoiding conflicts with your local setup can quickly become overwhelming.
That’s why GitHub Codespaces is a game changer.
With a single click on the “Open in Codespaces” button, you get a fully configured, cloud-hosted development environment that matches the project’s setup. No manual installation, no dependency nightmares, and no risk of breaking your local machine.
You can start exploring, running tests, and making changes immediately—directly from your browser or Visual Studio Code. And when you combine it with GitHub Copilot, it’s like having an AI-powered development lab that’s ready whenever you are.
Whether you’re contributing to a Node.js project, a Python library, or a .NET API, Codespaces ensures that your environment is consistent, clean, and always ready to code.
💡 Tip: Use Codespaces to experiment safely. If something breaks, just delete the space and start fresh—no reinstalling, no cleanup required.
Asking Smarter Questions with Copilot Chat
When you open a new repository, it’s normal to feel a bit lost. Where does the app start? How does it handle authentication? What’s that mysterious utils folder doing?
With Copilot Chat, you can ask those questions directly—just like you would to a teammate who’s been working on the project for years.
In Chat Mode (Ask), Copilot understands your context. You can highlight a piece of code and ask:
/ask What does this function do?
or
/ask How does this repository handle user authentication?
and Copilot will explain it in plain language, often referencing related files or functions.
You’re no longer forced to spend hours navigating the codebase or digging through old issues. Instead, you can learn by asking, turning each question into an opportunity to understand the architecture, conventions, and logic behind the project.
💡 Tip: Try using Copilot Chat before making your first contribution. It’s a great way to build confidence and context without reading every line of code.
Making Safe and Targeted Changes with Edit Mode
Once you understand how a project works, it’s time to make your first change.
That’s often where hesitation kicks in — “What if I break something?” or “I don’t fully understand the rest of the code yet.”
That’s where Copilot Edit Mode becomes your safety net.
In Edit Mode, you can highlight a section of code and simply describe what you want to do:
/edit Fix the typo in the log message
or
/edit Add null-checks to prevent runtime errors
Copilot will propose only the necessary changes—nothing more, nothing less.
It won’t rewrite the whole file or introduce unexpected modifications. You stay in control, reviewing every suggestion before applying it.
This feature turns small contributions—like bug fixes, code cleanups, or documentation updates—into quick wins. And when every change is scoped and reviewed, you can contribute confidently, even to large or unfamiliar repositories.
💡 Tip: Combine Edit Mode with GitHub’s diff view to instantly see what Copilot modified and why. It’s a simple way to learn best practices while keeping your changes precise.
Automating Tests and Validations with Agent Mode
One of the most intimidating parts of contributing to an open source project is testing your changes. Maybe you don’t have the full environment set up. Maybe the project uses a complex build system you’ve never touched. Or maybe you’re just not sure how to run the right tests.
That’s where Copilot Agent Mode shines.
It acts as a smart assistant that can execute tasks on your behalf—automatically, safely, and in context. You can ask Copilot to:
/agent run tests
and it will figure out how to execute the test suite based on the project’s structure.
Or you might say:
/agent set up the development environment
and it can help install dependencies, build the project, and prepare everything you need to start contributing.
It’s not about replacing your skills—it’s about reducing the friction of getting started. With Agent Mode, even if you don’t know the project’s every command or dependency, you can still test your contributions, validate them locally, and submit pull requests with confidence.
💡 Tip: Try using Agent Mode after each change. Let it handle repetitive tasks like linting or running unit tests so you can stay focused on the code itself.
Contributing Beyond Your Expertise
Here’s one of the most exciting things about GitHub Copilot: you don’t need to be an expert in everything to make a meaningful contribution anymore. Maybe you’re a backend developer who spots a typo in the frontend. Or an IT professional who notices a small configuration issue in a CI/CD workflow. In the past, you might have skipped contributing because it wasn’t “your area.” Now, with Copilot, you can simply ask for help across stacks and technologies.
For example:
/ask Explain what this React component does
or
/ask How can I update this GitHub Actions workflow to use Node 22?
Copilot bridges that knowledge gap. It explains unfamiliar code, suggests valid updates, and even writes the correct syntax when you’re working outside your comfort zone. This is how open source becomes truly collaborative: everyone can contribute, regardless of their background or specialization. Copilot turns curiosity into capability—and capability into contributions.
💡 Tip: If you’re exploring a new area of a repo, use Copilot to summarize files, detect outdated dependencies, or suggest doc updates. These are all valuable contributions that maintainers appreciate.
Discover Hidden Opportunities in Open Source
Sometimes, the hardest part isn’t contributing — it’s knowing where to start. You open a repository and think, “Everything looks fine… what could I even help with?”
GitHub Copilot can help you uncover those hidden opportunities. With Copilot Chat, you can explore the codebase interactively:
/ask Show me all TODOs or unfinished features
or
/ask Are there any functions without tests?
You can even go further:
/ask Which parts of this project could be optimized for performance?
By combining Copilot’s analysis with GitHub’s built-in tools—like Issues, Pull Requests, and Code Scanning—you get a clear picture of what’s missing, what could be improved, and how you can make an impact.
This transforms open source from a static experience into a living, guided learning process.
Each repository becomes a classroom, where you learn by exploring, fixing, and improving.
💡 Tip: Pair Copilot Chat with project issues labeled “good first issue” or “help wanted.” Copilot can walk you through those parts of the codebase, helping you prepare your first PR with confidence.
Written by

Emanuele Bartolesi
Senior Cloud Engineer
Emanuele is a Senior Cloud Engineer and long-time community contributor, passionate about helping teams succeed with cloud, DevOps, and AI. Microsoft MVP for over 12 years, a GitHub Star for 4 years and GitHub Star of the Year 2023. Emanuele regularly blogs and speaks at international conferences, sharing his experience on GitHub, Azure, and modern software development practices. He is also active in the open-source community, creating tools to improve developer productivity and governance. Outside of work, he enjoys playing guitar, traveling, and pushing his limits through endurance sports like triathlons and marathons.
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