AgentsAugust 24, 2026via InfoQ AI/ML
Presentation: Prompt to Prod: Engineering an Autonomous SDLC at Scale
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.
Key signals
- Roblox 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
The hook
Roblox deployed autonomous agents across its entire SDLC—not a pilot. Here's how they scaled from prompt to production.
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 v…