Gemini Code Assist Is Now Completely Free — Should You Ditch GitHub Copilot?

Google just made Gemini Code Assist completely free for individual developers, and honestly, it’s one of the most aggressive moves I’ve seen in the AI coding tools space this year. No credit card, no trial period, no catch. Just install the extension and start coding with AI.

I’ve been using both Gemini Code Assist and GitHub Copilot side by side for the past few weeks, and I have some strong opinions about which one actually makes you more productive. Spoiler: it’s not as straightforward as you’d think.

What Do You Get for Free?

Let’s talk numbers first. The free tier of Gemini Code Assist gives you up to 180,000 code completions per month and 6,000 requests per day. That’s basically unlimited for any individual developer. I write a lot of code and I haven’t come close to hitting those limits.

You get the full IDE plugin for both VS Code and JetBrains. Chat-based assistance is included, so you can ask questions about your code, get explanations, debug errors — all within your editor. Multi-file editing is supported too, which means the AI understands how changes in one file affect imports, types, and tests across your entire project.

The model powering it is Gemini 2.0, and it supports every programming language you’d reasonably need. Python, TypeScript, Go, Java, Rust, C++ — all covered.

How Does It Compare to GitHub Copilot?

Here’s the thing about Copilot — it costs $10/month for individuals. That’s not a lot of money, but when there’s a genuinely competitive free alternative, you start asking hard questions about value.

For Python, TypeScript, and Go, Gemini Code Assist performs roughly on par with Copilot. The completions are fast, contextually aware, and surprisingly accurate. I tested both on the same codebase over two weeks, and the suggestion quality was nearly identical for routine coding tasks.

Where Gemini actually beats Copilot is multi-file awareness. It does a noticeably better job understanding how changes in one file ripple through your project. If you rename a type in a shared module, Gemini’s suggestions in consuming files update accordingly. Copilot sometimes misses these cross-file dependencies.

But Copilot still has an edge in a few areas. Its integration with GitHub is tighter — pull request summaries, code review suggestions, and the overall ecosystem feel more polished. If you live and breathe GitHub, that integration matters.

The “Finish Changes” Feature Is Actually Brilliant

Google added something in March 2026 called “Finish Changes” that I think is genuinely underrated. Here’s how it works: you start writing code — maybe half-finished functions, some pseudocode, a few TODO comments — and Gemini observes your pattern and completes the entire change for you.

It’s not just autocomplete. It looks at what you’re trying to do across multiple files and finishes the job. I wrote a partial API endpoint with a TODO for error handling and validation, and Finish Changes filled in production-quality code that matched the patterns in my existing codebase.

There’s also “Outlines” — a feature that gives you a high-level plan of suggested changes before executing them. Think of it as a preview mode where the AI shows you what it wants to do and you approve or modify the plan. It’s a nice touch for developers who want AI help but don’t want surprises.

What About Privacy and Code Security?

I know this is a concern for a lot of developers, especially those working on proprietary code. Google says the free tier doesn’t use your code for training, which matches what Copilot claims too. But let’s be real — you’re still sending your code to external servers for processing.

If code privacy is your top priority, neither tool is ideal. You’d want something like a locally-run model. But for the 90% of developers who are comfortable with cloud-based AI assistance, both options are solid.

My Honest Take After Using Both

If I had to pick one today, I’d go with Gemini Code Assist for most individual developers. The free tier is generous enough that there’s no reason to pay for Copilot unless you specifically need GitHub integration features. The code quality is comparable, the multi-file awareness is better, and Finish Changes is a genuinely useful workflow improvement.

For teams, it’s a different calculation. Copilot’s enterprise features, GitHub Actions integration, and organizational controls are more mature. But Google is closing that gap fast with Gemini for Google Cloud’s enterprise tier.

The bottom line? If you’re paying $10/month for Copilot and you haven’t tried Gemini Code Assist yet, you owe it to yourself to test it. You might find you don’t need to pay anything at all.

How to Get Started

Setting up is dead simple. Open VS Code or JetBrains, search for “Gemini Code Assist” in the extensions marketplace, install it, sign in with your Google account, and you’re done. No API keys, no configuration files, no billing setup. It takes about two minutes.

Give it a week with your actual codebase before making any decisions. First impressions with AI coding tools can be misleading — you need to see how it handles your specific stack, your coding patterns, and your project structure.