The modern cloud is fast, dynamic, and complex. But legacy security tools can’t keep up. As containers and ephemeral resources constantly change, and access requests surge, security teams are left scrambling. Entitlements pile up, visibility fades, and audits become a nightmare.
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Last summer, we launched the StrongDM AI Lab with a simple premise: how best to maximize building software with AI. This led us to some interesting discoveries on how to operate in this new world and the creation of what we call the Software Factory.
Humans define intent: what the system should do, the scenarios it needs to handle, the constraints that matter. After that, the agents take it from there. They generate code, validate it against real-world behavior, and iterate until it converges, without hand-tuning or human review.
The factory is powered by scenario-based validation, a Digital Twin Universe of systems like Okta and Slack, and agents that run end-to-end once the work is fully specified. It’s what happens when validation replaces code review.
The result is a system that gets better by iterating against reality. This system runs real scenarios, validates real behavior, and corrects itself without humans in the loop.
The Software Factory is open source and ready for you to take it for spin: https://factory.strongdm.ai/
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Conversations
- Post by Co-Director of the Generative AI Lab at Wharton, Professor Ethan Mollick
- Post by President and CEO of Y Combinator, Garry Tan
- Blog by AI Thought Leader Simon Willison
- Blog by AI Automation Digest
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The modern cloud is fast, dynamic, and complex. But legacy security tools can’t keep up. As containers and ephemeral resources constantly change, and access requests surge, security teams are left scrambling. Entitlements pile up, visibility fades, and audits become a nightmare.
