Trust infrastructure for autonomous software development from prompt to production
An enterprise platform that lets AI agents write, review, test, deploy, monitor, and revert software while controlling security, access, reliability, institutional knowledge, and human intervention. The core product combines sandboxed execution, policy gateways, auditable agent identities, automated code review, repository-specific exemplars, production safeguards, and evaluation metrics.
From InfoQ — Roblox Engineering Director: "Prompt to Prod" Is Broken Without Trust at 02:00
Problem: AI can generate code quickly, but organizations lack confidence that agents understand their codebase, respect security boundaries, produce reliable changes, and operate safely in production. Increasing autonomy without these controls creates technical debt, security incidents, and operational burden.
For: Large software organizations that want autonomous AI coding and deployment but cannot accept uncontrolled security incidents, technical debt, production failures, or excessive human orchestration.
Products from this video
Examples
- Roblox's automated code-review agent reached almost 60% to 70% acceptance for its suggestions after exemplars were added, compared with 55% acceptance for human code-review suggestions.