Gemini 3 Code Assist - How to Use It

Gemini Code Assist has begun rolling out Gemini 3, giving developers a more advanced AI model inside supported IDEs. The update arrives in phases, starting with agent mode, so users can expect gradual access depending on their subscription tier. 

With this release, Google aims to streamline how developers write, debug, and automate tasks through more accurate model responses.

Understanding what Gemini 3 is and how it functions inside Gemini Code Assist is crucial for users trying to improve their workflow. 

This guide explains what the new model offers, how Gemini 3 codes are accessed, and how to use Gemini 3 in supported environments like VS Code and IntelliJ. 

Since the rollout is progressive, many developers are currently seeing Gemini 3 only when their configuration and license level allow it.

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What is Gemini 3?

Gemini 3 is Google’s newest generation AI model designed to power developer tools, including Gemini Code Assist. The model uses enhanced reasoning and code understanding to generate responses that better match user intent. 

Unlike general-purpose AI models, Gemini 3 is optimized for tasks such as code generation, debugging suggestions, workflow automation, and agent-style actions where the model proactively executes multi-step tasks.

The version included in Gemini Code Assist runs primarily in agent mode. 

Agent mode allows the model to analyze a developer’s instruction and then take contextual actions, which may include opening files, editing code, or running multi-step commands inside the IDE. 

Gemini 3 has higher-level planning capabilities, making it more reliable for long sequences of developer operations.

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Gemini 3 Codes and Model Selection

Gemini Code Assist automatically tries to use Gemini 3 whenever your subscription allows access. If Gemini 3 is not available due to capacity limits or quota restrictions, the system falls back to other models like Gemini 2.5 Pro. 

This fallback behavior ensures that developers do not experience interruptions even when the newest model cannot be used.

Users in VS Code can manually check the model selector, which lets them verify whether Gemini 3 is enabled. 

Responses generated by Gemini 3 include a visible tag, allowing developers to identify the model being used. This labeling makes it easier to compare outputs between models and evaluate improvements.

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Access Requirements for Gemini 3

Not all accounts have immediate access. Access depends on the user’s license or subscription tier:

Google AI Ultra users get Gemini 3 immediately in IntelliJ, with VS Code access coming soon.

Google AI Pro users may join the waitlist until broader availability. Standard and individual Gemini Code Assist users are also placed on a waitlist.

Enterprise users receive access in the preview release channel.

This tiered structure allows Google to manage demand while providing early access to higher-level subscription holders. Users without current access may still prepare their environment so Gemini 3 activates once eligibility is granted.

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How to Use Gemini 3 in Agent Mode

Gemini 3 runs in agent mode in both VS Code and IntelliJ, but VS Code requires additional setup through the Gemini CLI. Agent mode allows the model to behave as an assistant capable of taking structured, multi-step actions rather than simply generating text responses. This requires enabling preview features.

To use Gemini 3 in VS Code, close the application, install Gemini CLI version 0.16 or higher, and open the CLI by running the gemini command. Inside the CLI, access the settings panel using /settings. From there, enable the preview features section, which activates experimental model access including Gemini 3. 

After enabling it, reopen VS Code and the system will automatically use Gemini 3 if your subscription qualifies.

In IntelliJ, configuration is simpler because Gemini 3 becomes available as soon as your license permits. The IDE automatically detects the newer model and uses it in agent mode without additional setup.

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Why Agent Mode Matters

Agent mode is the main reason developers anticipate Gemini 3. Traditional AI code assistance focuses on generating text-based answers. Agent mode enables a more integrated experience where the model can open files, modify code, or perform structured tasks across the project.

This means users can issue commands such as refactoring a module or generating boilerplate code, and Gemini 3 handles not only the generation but also the mechanical steps. This workflow improves speed and reduces manual switching between tools.

Troubleshooting Access

If Gemini 3 does not appear, the most common reasons include subscription level, preview features not being enabled, or temporary capacity limitations. 

The fallback models ensure tools remain operational, but users wanting Gemini 3 specifically should check eligibility and CLI configuration.

Conclusion

Gemini 3 marks an important update for developers using Gemini Code Assist, especially those relying on agent mode for complex workflows. As availability expands, more users will benefit from improved reasoning, better code suggestions, and automated developer actions directly within their IDE.

FAQs

What is Gemini 3 in Code Assist?

It is the newest AI model used in Gemini Code Assist, providing faster and more accurate coding support.

How do I enable Gemini 3 in VS Code?

Install Gemini CLI version 0.16+, turn on Preview Features, then reopen VS Code.

Why is Gemini 3 not showing in my IDE?

Your subscription may not have access yet, or capacity limits may cause fallback to Gemini 2.5 Pro.

Does Gemini 3 work in IntelliJ?

Yes, Gemini 3 is already available for all IntelliJ users with supported licenses.

Can Gemini 3 run in agent mode?

Yes, Gemini 3 initially launches only in agent mode and will expand as availability increases.