Presentation: Prompt to Prod: Engineering an Autonomous SDLC at Scale
Roblox deployed autonomous agents across its entire SDLC—not a pilot. Here's how they scaled from prompt to production.
Why it matters
A major platform company is running end-to-end autonomous software development in production, sharing the infrastructure, security, and organizational patterns required to operationalize agentic systems at scale. This is real deployment engineering, not research.
The key facts
6 to knowRoblox scaled autonomous software development from prompt to production deployment
Built robust security sandboxes for autonomous code execution
Extracted institutional knowledge via code review exemplars as training signals
Updated engineering infrastructure to support long-running AI agent workflows
Redefined productivity metrics around feature velocity and AI agent throughput
Achieved trusted, automated deployment at scale
Go to the source
InfoQ AI/MLinfoq.com
Publisher excerpt: Andrew Swerdlow shares how Roblox scales autonomous software development from prompt to production. He discusses building robust security sandboxes, extracting institutional knowledge via code review exemplars, updating engineering infrastructure, and redefining productivity metrics around feature…