When we launched Dvina Code, we had one clear goal.
Bring the most powerful models into a single desktop experience without turning it into a control dashboard.
AI coding today comes with hidden friction. Every task forces a model decision. Is this Opus level? Is Sonnet enough? Should I optimize for cost?
That mental overhead breaks flow.
So we built Smart Cost Optimization.
The Core Idea
Not every task in a coding workflow has the same complexity.
Writing core logic is different from exploring a codebase. Summarizing a session is different from compressing long context.
Yet most tools treat them the same. One model. One cost profile.
We introduced a Model Strategy layer with three modes:
Same as Chat
Everything runs on your active chat model. Simple and predictable.
Smart Cost Optimization
Dvina Code dynamically assigns models based on task type. High reasoning models are used only where they create real value. Lighter but capable models handle structural tasks like summaries and titles. Quality stays high. Waste goes down.
Custom
Build your own multi-model stack. Choose exactly which model powers each part of the system.
Dvina Code is no longer a single model interface. It is a multi-model runtime.
Why This Matters
AI products often choose one of two extremes. Opaque simplicity or overwhelming control.
We are building a third path.
You should feel in control without managing every micro decision. You should get frontier level quality without burning tokens unnecessarily.
Smart Cost Optimization is not just about cost. It is about aligning intelligence with intent.
The Vision
Dvina Code is evolving into a live context-aware system.
It understands what you are doing. Selects the right intelligence layer. Optimizes itself in real time. Keeps you in control.
Interfaces in the AI era must become simpler. But power must not disappear.
This is a small step toward that future.
Try Model Strategy inside Dvina Code. Send feedback.
We are building this in public.
