GitHub Copilot (Free) Is Here: What You Get and How to Use It Smartly

GitHub Copilot has been around long enough that many developers assume it’s a paid-only tool. That assumption is no longer true. In late 2024, GitHub opened up a genuinely free version, and it doesn’t feel like a five-minute trial. I’ve spent the last few days using GitHub Copilot (Free) on a small Python project and a React dashboard, and the experience is fuller than most people expect.

What is GitHub Copilot (Free)?

GitHub Copilot (Free) is a no-cost tier of GitHub’s AI coding assistant. It works inside supported editors like Visual Studio Code and Visual Studio, delivering code suggestions as you type, plus a chat panel for asking questions about your code. The original Copilot started as a paid add-on in 2021; the free tier came later, and it’s now a genuine entry point rather than a watered-down demo.

At the time of writing, the free tier allows 2,000 code completions and 50 chat requests per month. The limit resets on the first of each month, and you can check your usage in your GitHub settings panel. That allowance makes it genuinely useful for side projects, learning, or open-source work. But the details matter, so let’s dig into what those numbers actually mean.

What exactly do you get for zero dollars?

Here’s a quick breakdown of what GitHub Copilot (Free) includes right now:

• 2,000 code completion requests per month. These are the gray suggestions that guess your next variable or generate a whole function based on the surrounding code.
• 50 chat requests per month. Enough to ask about an error, request a refactor, or generate a small test suite without opening Stack Overflow.
• Model choice. Free users can switch between OpenAI’s GPT-4o and Anthropic’s Claude Sonnet 4 in the chat interface.
• Editor support. VS Code and Visual Studio are covered. Other editors like JetBrains still require a paid Copilot plan for now.

Chat is where the free tier often surprises people. It isn’t a marketing fake. You can ask for a regex pattern, a function that handles edge cases, or an explanation of an obscure code block. The responses usually arrive in seconds and include reasoning, not just raw code.

How the free plan compares with paid versions

Copilot Pro and Copilot Business still have their place, and the differences are meaningful. The most obvious one is the monthly quota: a paid subscription removes the hard cap on completions and gives you hundreds of chat messages instead of just 50. That matters if you code for many hours each day. Hitting the free limit in the middle of a debugging session is annoying.

Paid plans also unlock newer model previews, code review in pull requests, and more granular controls for teams. If you’re a professional developer using Copilot in your work day, the $10 per month for Copilot Pro is still an obvious purchase because it removes the mental overhead of counting requests. GitHub Copilot (Free) is designed for a different rhythm: short coding sessions, weekend projects, tutorials, or the occasional script.

Setting up GitHub Copilot (Free) in VS Code

Despite the enterprise-grade name, setup takes only a few minutes. Here’s the practical flow I followed:

• Open Visual Studio Code and install the official GitHub Copilot extension from the marketplace.
• Click the Copilot icon in the side panel and select Sign In to GitHub.
• Your browser opens a GitHub page. Authorize access to your account.
• If you don’t already have a GitHub account, create one. A regular personal account qualifies for the free tier.
• Wait for the extension to confirm that Copilot is ready. You’ll see a small message near the bottom of the editor.

One thing to keep in mind: if you’ve previously used a paid Copilot trial, the login page may try to nudge you toward a subscription. On the sign-up page, look for the option that says something like Continue with the free plan. It’s not hidden, but it’s easy to miss if you’re clicking quickly.

How to get real value from those 2,000 completions

2,000 sounds like plenty, but it can vanish after a few days if you’re constantly waiting for Copilot to finish your line. After testing, I found a few techniques that make the free tier far more usable:

• Turn off suggestions for trivial typing. Use the keyboard shortcut to disable Copilot when you’re just moving code around or exploring an unfamiliar file. You’ll save completions without losing assistance.
• Use chat for debugging, not just code generation. A chat request can cover an entire error message and return a strategy, which is often more valuable than an autocomplete.
• Write precise prompts. Instead of saying “make this better”, say “refactor this loop to avoid mutating the list it’s iterating over.” You’ll get useful answers instead of generic advice.
• Keep comments above the line you want Copilot to finish. Copilot respects comments more than people expect. A single line like # parse the date and return a UTC timezone object can make the next suggestion accurate.
• Use Copilot on boring, repetitive code. Boilerplate, CRUD endpoints, and test stubs are the best way to spend your allowance.

Limitations and rough edges of the free tier

After a week of use, several limitations became clear. The most obvious is what happens when you hit the monthly cutoff. Once you use your 2,000 completions, Copilot stops suggesting code and politely tells you to wait for the reset. The same happens with chat. If you’re in the middle of a task, it can feel like the AI unexpectedly leaves the room.

There are also some capability gaps. GitHub Copilot (Free) doesn’t include pull request code review, which is a paid feature. It also doesn’t offer some of the team-facing controls, like policy enforcement and audit logs, that Copilot Business users get. For hobby projects, none of that matters. For a workplace with compliance requirements, it probably does.

Privacy is worth thinking about too. Before you use Copilot Free on proprietary code, read the relevant GitHub terms. Even though GitHub says prompts are not used to train shared models in certain configurations, free accounts may have fewer options to opt out of data retention practices. If you’re working on closed-source code that your employer cares about, ask your engineering manager before connecting your personal account.

Finally, manage your expectations around code quality. The model is good, but it will happily suggest outdated APIs or ignore the constraints of your specific project. You still need to read every suggestion. GitHub Copilot (Free) is a great assistant, but it’s not a senior developer and it won’t replace code review.

If you’ve been putting off trying an AI pair programmer, the free tier is a low-stakes way to see whether the workflow fits you. Install it on a small repository, let it handle the routine parts of your next script, and watch your usage carefully. You’ll know after a month whether the ceiling feels like a problem or enough.