Gemini 3 is here. Here is why we are still building Dropstone (Self-Evolving IDE)

Today, Google dropped Gemini 3 and "Antigravity," and the raw reasoning power is incredible. It’s a massive leap for AI.

But it reinforced exactly why we built Dropstone AI.

Big foundational models are like visiting a genius consultant: they are smart, but they don't know you, they don't know your history, and they require you to send your data to their office (the cloud).

Dropstone is different. It’s not just a wrapper; it’s a Recursive Self-Improving Environment that lives locally on your machine.

Why Dropstone still matters in the Gemini 3 era:

🧠 Recursive Memory vs. Stateless Context

Gemini 3 has a huge context window, but Dropstone has permanent memory. If Dropstone fixes a bug in your API today, it learns from that mistake and updates its own internal guidelines. It doesn't just generate code; it evolves with your codebase.

cx Privacy is not a Feature, it's Architecture

With Dropstone, you can run state-of-the-art open models (via Ollama) or plug in Gemini 3 only when you need it. Your proprietary code stays on your drive.

🛠 The "Body" for the "Brain"

We view Gemini 3 not as a competitor, but as a turbo-charger. You can now plug the Gemini 3 API into Dropstone to get Google-level reasoning with Dropstone-level memory and control.

We are building the home for your code, not just the chat box.

Would love to hear your thoughts: Do you prefer a cloud-native "Vibe Coding" experience (Google), or a local "Self-Evolving" environment (Dropstone)?