We Were Featured in Forbes: How To Prevent AI Coding Agents From Going Rogue

As AI coding tools take on more of the actual work of software engineering, companies are discovering a messy problem: nobody really knows what's going to break until it already has. Google's DORA report found deployment stability has actually gotten worse since AI coding took off, down 7.2%, and a third of developers admit they don't fully trust AI-written code.

At Causal Dynamics Lab, we're betting that the root cause is context. Our research found AI agents spend more than half their time just searching for files, essentially wandering around a codebase trying to figure out how things fit together before they can do anything useful.

Our fix is to build a digital twin of a company's software, a living map of how everything connects, so changes can be tested against reality before they go live. We're already piloting with 40+ Fortune 500 companies and converting roughly a quarter into paying customers.