Runtime
Guardrails and visibility to enable your team to ship with coding…
- AI Agent
- Code Generation
- LLM
✨ AI Summary
Runtime provides engineering teams with guardrails and visibility to securely enable non-engineers to use coding agents. It offers sandboxed environments, session observability, and configurable boundaries for safe code contributions and application development.
Best For
Engineering leaders, Product Managers, Designers
Why It Matters
Runtime empowers teams to safely integrate coding agents across the organization by providing essential control and visibility.
Key Features
- Provides sandboxed environments for secure coding agent execution.
- Offers session-level observability into coding agent activity.
- Enables configurable guardrails to set boundaries for agent usage.
- Empowers non-engineers to contribute to codebases or build applications.
Use Cases
- A product manager wants to quickly prototype a new feature by leveraging a coding agent, and Runtime ensures their experiment is contained within a safe environment, preventing any unintended impact on the production system.
- A marketing team member needs to generate a small script for an A/B test, and Runtime provides them with the necessary guardrails to use a coding agent without requiring deep technical expertise or posing a risk to the codebase.
- An engineering leader is rolling out coding agents across the organization and uses Runtime to monitor agent activity, set usage policies, and ensure compliance, thereby maintaining control and visibility.