Optimizing the 2 Million Token Window in Antigravity

Gemini 3 Pro gives you 2 million tokens. That's about 1.5 million words, or 5,000 code files.
It sounds like you can just dump your entire hard drive into it.

Don't.

Even with a massive window, “Garbage In, Garbage Out” applies. Here is how to optimize your context for the best results.

1. The “Needle in a Haystack” Problem

While Gemini is great at retrieval, accuracy drops slightly as context grows.
If you load 10,000 files to fix a bug in 1 file, you are introducing noise.
Rule: Only load the relevant modules. If you are working on the Frontend, don't load the Backend Terraform scripts.

2. `.antigravityignore`

Just like `.gitignore`, you need an `.antigravityignore` file.
Exclude:
* `node_modules/` (obviously)
* `dist/` or `build/` folders
* Large data files (`.csv`, `.json`)
* Lock files (`yarn.lock`)

This keeps the context clean and focused on source code.

3. Context Pinning

In Antigravity, you can Pin critical files.
* `README.md`
* `architecture_diagram.mermaid`
* `types.d.ts`

Pinned files are always at the top of the context window. This ensures the AI never “forgets” the core rules of your project.

4. The Cost Factor

Processing 2 million tokens takes compute.
* Full Context Query: Slower (~10-20 seconds).
* Focused Context Query: Faster (~1-2 seconds).

Use the Context Slider in Mission Control.
* Low: Current file only (Speed).
* High: Entire repo (Depth).

Conclusion

The 2 million token window is a superpower, but it requires discipline. Treat it like a library, not a dumpster.

At BYS Marketing, we have mastered context management to get the fastest, most accurate results from Gemini 3 Pro.

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Want to master AI context management?
Contact BYS Marketing. We offer advanced training for Antigravity power users.