Runloop, a comprehensive solution provider for AI-assisted software development, announced today the general availability of its Devboxes platform. This enterprise-grade sandbox solution features powerful environment management capabilities through Blueprints and Snapshots to address the critical “Production Gap” between prototype AI coding agents and production-ready applications.
Runloop Devboxes provide isolated, cloud-based development environments designed for safely building, testing, and deploying AI coding agents at scale. The platform enables organizations to securely experiment with AI-assisted development while maintaining enterprise security standards and operational reliability. The platform accelerates AI development across multiple use cases, from research teams evaluating experimental agents to enterprises deploying production-ready AI coding assistants.
Key capabilities of the Devboxes platform include:
- Isolated Execution Environments: Secure sandboxes where AI agents can safely run code with full filesystem and build tool access, isolated from production systems
- Environment Standardization via Blueprints: Pre-installed tools and dependencies ensure consistent environments across teams while eliminating setup time
- State Management with Snapshots: Instant capture and restoration of development states for efficient experimentation, rollback, and team collaboration
- Enterprise-Grade Infrastructure: SOC2-compliant platform with 24/7 support, optimized resource allocation, and comprehensive API access
Organizations benefit from reduced environment setup time, improved collaboration through shared states, cost optimization via efficient resource utilization, and enhanced security through isolated compute—all while maintaining their existing development workflows through Runloop’s comprehensive API. Companies building AI agents to augment code review, unit testing, and more, are using Runloop’s platform to scale their agents beyond their own computers.
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