Runloop announced the general availability of its Devboxes platform, an enterprise-grade sandbox solution designed to close the “Production Gap” between experimental AI coding agents and fully production-ready applications. Devboxes provide isolated cloud-based development environments that enable secure, scalable AI-assisted software development while adhering to enterprise security and operational standards.
Features of Runloop Devboxes
- Isolated Execution Environments: Secure sandboxes allow AI coding agents to execute code with full filesystem and build tool access, completely isolated from production infrastructure, enhancing safety and reliability.
- Environment Standardization via Blueprints: Pre-configured environments with necessary tools and dependencies that eliminate setup time and ensure consistency across teams and projects.
- State Management with Snapshots: Enables instant capturing and restoration of development states, facilitating rapid experimentation, efficient rollbacks, and seamless team collaboration.
- Enterprise-Grade Infrastructure: SOC2-compliant with 24/7 support, optimized resource allocation, and comprehensive API access, providing robust security and operational resilience.
Benefits for Organizations
Runloop Devboxes significantly reduce environment setup time, improve collaboration with shared states, optimize costs through efficient resource use, and enhance security with isolated compute environments. This enables companies to scale AI-assisted development efforts—from research teams testing new AI coding agents to enterprises deploying production-ready AI assistants for code review, unit testing, and beyond.
Runloop’s Devboxes platform offers a comprehensive, secure, and scalable solution for enterprises aiming to harness AI agents in software development. By bridging the gap between AI prototyping and production deployment, Runloop accelerates innovation while maintaining enterprise-grade control and reliability.
