GitMir — Context OS for AI Work

GITMIR · AUTONOMOUS AI IDE

Context OS for AI Work

Turn complex goals and large context into controlled AI execution. GitMir is an ecosystem with a full IDE that runs the whole build automatically — decompose, write, review, ship.

Big context, solved

A 28-dimensional information model

GitMir decomposes the mandala into a 28-dimensional information model, with data flows between every element. That makes prompt engineering exact — precise context assembled per task, so large problems are solved as accurately and as cheaply as possible.

Tasks, automated

Tasks created & controlled for you

Inside the IDE, GitMir creates the tasks and controls their execution — using the data model to deterministically assemble the exact context for each one.

Auto-created in the IDE
Deterministic context per task
Run in sequence
Monitored end to end

Architecture, visualized

See the architecture as it is built

The product architecture is generated and visualized by AI — so you know exactly what is being built, layer by layer, before anything ships.

UI layer
API & services
Data & storage

Business logic, mapped

Tasks become business logic

Every task resolves into a clear business-logic map — blocks, the data flows between them, and descriptions — so system behavior is explicit and reviewable.

Input & validation
Enrich & process
Store
Output

Business impact

Fewer tokens. More product.

Efficiency you can see in the API bill and in the speed of your whole team.

×15 fewer tokens per task
0 manual babysitting
24/7 agents run themselves

Built for

For teams that build products

If your team ships products with AI, GitMir removes the busywork, the risk and the token bill.

Founders & CEOs
Product companies
Agencies & studios
Startups & dev teams

The ecosystem

GitMir Ecosystem

We build innovative, game-changing solutions — a growing ecosystem of AI products that redefines how complex work gets done.

Always evolving

From our stack to the frontier.

We grow the same way every year — continuously, without stopping. From building our own frontend and backend technology, to a SaaS for development, to now taking the best of it and creating frontier solutions on our pipelines and information models for working with large context.