Q&A with Eno Reyes, Co-founder & CTO, Factory: How can we trust deploying AI coding agents at scale?

Scaling autonomous coding agents within software development requires a fundamental shift toward deterministic infrastructure, including rigorous type checking, automated testing, and continuous code linting. As organizations transition to agent-driven workflows, the traditional Product Manager role is unbundling into specialized functions—such as engineering, product marketing, or operations—as AI tools lower technical barriers to execution. Establishing trust in these systems depends less on full automation and more on providing visual transparency and clear control mechanisms for human oversight. Ultimately, the future of software engineering involves a hybrid model where human expertise guides AI-driven missions, ensuring that high-volume code production remains reliable, secure, and aligned with architectural goals. Eno Reyes, an expert in AI-native development, emphasizes that success in this era demands a disciplined approach to governance and a clear understanding of where human intuition remains essential.