In this interview, Matthew Berman speaks with Matan, the founder of Factory, about the future of software engineering and the development of Factory AI. Matan discusses his background in theoretical physics and how it led him to AI and code generation. He shares his vision for agent-native software development, where AI agents work in parallel to solve complex problems, emphasizing the importance of systems thinking for human engineers in this new paradigm. The conversation touches on the definition of intelligence in the context of AI, the role of abstraction layers, and the potential for AI to drive down the cost of software development, enabling even non-technical companies to build their own internal tools. Matan also details Factory's unique approach to understanding codebases through first-party integrations, memory, and local/remote code execution, and expresses excitement about the increasing reliability and quality of AI agents in the near future.
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