07 Apr 2026
1h 12m

Extreme Harness Engineering for Token Billionaires: 1M LOC, 1B toks/day, 0% human code, 0% human review — Ryan Lopopolo, OpenAI Frontier & Symphony

Podcast cover

Latent Space: The AI Engineer Podcast

The discussion centers on Harness engineering, a methodology for AI-driven software development, with Ryan Lopopolo from OpenAI. Lopopolo details his team's experience building an internal tool using AI agents that wrote over a million lines of code with minimal human intervention. A key aspect involves inverting control, allowing the AI to manage its environment and choose its tools, rather than operating within a predefined scaffold. The conversation covers the team's iterative process, adapting to model updates and optimizing for agent productivity by enforcing strict build time limits. They also explore the concept of "ghost libraries," distributing software as specifications for AI to reassemble, and the potential for AI to handle tasks such as code review, dependency management, and even humor generation.

Outlines

Part 1: Foundations of AI-Driven Development

Part 2: Agent Architecture and Observability

Part 3: The Symphony System and Workflow Automation

Part 4: Collaboration and Technical Optimization

Part 5: Enterprise Scaling and Future Outlook

Sign in to continue reading, translating and more.

Open full episode in Podwise