Originally posted on LinkedIn.
AI is a limitless supply of engineering capacity. Most teams can't use it. Our agentic software factory let us harness that capacity to rebuild our entire product in a quarter.
The bottleneck for most teams older than a year is the development environment AI has to operate in. A few months ago, AI agents couldn't even reliably start our application. The best any engineer could do was work one local task at a time and manually hand sub-tasks to a model. All that capacity, and no way to plug into it.
So we rebuilt from the ground up. The conceit from day one: the entire app would be built by the software factory. That was the forcing function. Every part of the development environment had to work for agents, because agents were doing all the work. No retrofitting agentic development onto the codebase. We expected a tradeoff, going slow now to go fast later. There wasn't one. It was faster from the start.
The result: zero lines of code to live customers in one quarter. Four years of product rebuilt, plus new features, in that same window. Engineers who used to run one local task now oversee 5+ in parallel. Conservatively, a 5x productivity increase, and we haven't found the ceiling.
The AI world is all about speed. Getting it means working backwards from a single question: how do we harness this capacity? Everything about your engineering system follows from the answer. Get it right and you're running on fusion while everyone else is still running on steam.