Coding infrastructure for teams that need more control

Built for developers who want strong coding performance without being locked into a single model, provider, or environment. Open Source coming soon.

MacOS
$curl -fsSL https://app.backboard.io/api/cli | bashCopy
Windows (Powershell)
$irm https://app.backboard.io/api/cli/windows | iexCopy
backboard
Last login: Wed Jul  1 12:19:39 on ttys000
clairesarcia@MacBook-Pro~ %backboard
clairesarcia › ~ › v3.0.0
  ███████
 █████████
██ ███ ████
 █████████
  █ █ █ █
Backboard CLI is ready
Connected workspace: Users/clairesarcia
Status: Synced
Current Session
mode
agent
model
anthropic/claude-opus-4-8
context
0 / 1M
/help
View commands
ready · anthropic/claude-opus-4-8 · high · memory auto · ~
backboard
Last login: Wed Jul  1 12:19:39 on ttys000
clairesarcia@MacBook-Pro~ %backboard
clairesarcia › ~ › v3.0.0
  ███████
 █████████
██ ███ ████
 █████████
  █ █ █ █
Backboard CLI is ready
Connected workspace: Users/clairesarcia
Status: Synced
Current Session
mode
agent
model
anthropic/claude-opus-4-8
context
0 / 1M
/help
View commands
ready · anthropic/claude-opus-4-8 · high · memory auto · ~

Coding agents are becoming infrastructure

Most coding tools are built around a single hosted model, a closed workflow, and limited control over how context, memory, tools, and execution are handled.

That may be enough for individual experimentation

It becomes limiting when teams need reproducibility, model flexibility, private deployment, secure environments, or control over cost and performance.

R-CLI gives teams an open coding harness they can inspect, run, extend, and deploy where they need it.

Built for high-performance AI software development

01.

Model flexibility

Run the models that fit your requirements across frontier, open-source, local, or private deployments.
Choose based on quality, latency, privacy, cost, or hardware availability.

02.

Context and memory

Give coding workflows persistent context across tasks, repositories, sessions, and iterative development cycles.
Reduce the need to repeatedly re-explain codebases, architecture, constraints, and prior decisions.

03.

Tool use and execution

Enable agents to inspect files, modify code, run commands, test changes, and work through multi-step software tasks.

04.

Open and extensible

Inspect the harness, adapt workflows, add tools, change model providers, and integrate R-CLI into your own development environment.

05.

Private and sovereign deployment

Run coding workflows in cloud, private cloud, on-premise, or air-gapped environments depending on your organization’s requirements.

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

Proven in real coding environments

R-CLI has demonstrated leading performance on Terminal Bench, with reproducible logs, methodology, and system details published publicly.

The goal is not simply to generate code snippets. It is to help AI systems operate inside real development environments where they must inspect codebases, use tools, execute commands, test changes, and complete multi-step tasks.

Open source, with a path to enterprise scale

R-CLI is designed to stand on its own as an open-source tool.
Teams can use it locally, inspect the code, adapt it to their workflows, and run it against the models and infrastructure they choose.

When they need persistent memory, model routing, deployment controls, team-level governance, or private infrastructure, they can connect R-CLI to the Backboard Platform.

This gives developers an open starting point and organizations a clear path to production-grade infrastructure.

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