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Desktop coding harness for AI-native software development

Desktop coding harness for AI-native software development

Run advanced coding workflows with more control over models, context, privacy, and where your code is processed.

Build with AI without giving up control

Most AI coding tools are tied to a hosted model, a closed interface, and infrastructure you cannot inspect or move.

That may work for simple tasks.

It becomes a limitation when your team needs stronger context handling, model flexibility, private deployment, reproducibility, or the ability to run AI close to your code.

Desktop Studio is a coding harness built for developers who want a full desktop workspace without being locked into a single provider or environment.

Repository-aware context

Repository-aware context

Desktop Studio understands the files, structure, and working context of your project so AI can operate with more than a single prompt window. Give agents the information they need to inspect code, understand dependencies, and make changes with stronger awareness of the broader system.

Flexible model access

Flexible model access

Choose the models that fit the task. Use frontier models for difficult reasoning, open models for cost efficiency, or private and local models when privacy, governance, or infrastructure constraints matter.

Run where your team needs it

Run where your team needs it

Use Desktop Studio with cloud-based models, private infrastructure, on-premise environments, or optimized local models running directly on supported hardware.

Generate, edit, test, and iterate

Generate, edit, test, and iterate

Use AI to create features, modify files, investigate issues, run commands, and work through multi-step development tasks. Desktop Studio is designed for software work, not just code suggestions.

Persistent project context

Persistent project context

Maintain useful context across development sessions, repositories, and iterative work. Reduce the need to repeatedly explain architecture, technical decisions, constraints, and prior changes.

Start free, scale with usage.

Free

• Backboard API access
• R-CLI access
• Web/mobile workspace
• Basic memory and RAG access
• Basic usage analytics
• No credit card required

POWERED BY

Education

• Everything in Free
• Lower-cost access for students and researchers
• Memory and RAG access
• Active Context Management
• Usage analytics
• Tokens billed at provider price

Developer

• Everything in Education
• API, R-CLI, desktop, and web/mobile access
• Advanced memory and context tools
• Workflow and usage analytics
• BYOK support
• Tokens billed at provider price

Scale

• Everything in Developer
• Team workspace access
• Higher usage capacity
• Advanced analytics
• Shared billing and usage visibility
• Priority support
• Production workflow support

Built for teams that cannot compromise

R-CLI is designed for:

01

Engineering teams building production software with AI

02

Organizations with private or regulated codebases

03

Teams evaluating multiple coding models

04

Companies reducing dependency on hosted coding tools

05

Developers working in restricted or disconnected environments

06

Enterprises that need auditability, control, and deployment flexibility

Photo by Thirdman   from Pexels: https://www.pexels.com/photo/close-up-photo-of-people-doing-a-handshake-8470843/

Enterprise-ready.

Desktop Studio is designed so developers can inspect it, extend it, and adapt it to their workflows.

Organizations can run the desktop experience with the model providers and infrastructure they choose. As needs grow, Desktop Studio can connect to Backboard Platform services for persistent memory, routing, governance, optimization, and private deployment.

This creates a clear path from individual developer use to organization-wide AI development infrastructure.

Photo by Alicia Christin Gerald from Pexels: https://www.pexels.com/photo/developer-coding-on-a-laptop-setup-indoors-37880101/

Proven in coding environments

Backboard’s coding harness work has demonstrated leading performance on Terminal Bench, with reproducible methodology, logs, and system details published publicly.

Desktop Studio brings that same focus on context, orchestration, and execution into a visual local development environment.

Photo by Alicia Christin Gerald from Pexels: https://www.pexels.com/photo/developer-coding-on-a-laptop-setup-indoors-37880101/

Proven in coding environments

Backboard’s coding harness work has demonstrated leading performance on Terminal Bench, with reproducible methodology, logs, and system details published publicly.

Desktop Studio brings that same focus on context, orchestration, and execution into a visual local development environment.

Build software with AI on
infrastructure you control.

Use a desktop coding harness today. Connect it to sovereign AI infrastructure as your organizations needs grow.