Software Engineering Intelligence, built for the AI era

Software Engineering Intelligence used to mean pointing a dashboard at your Git history and hoping the charts told a story. That model breaks the moment coding agents write a meaningful share of your pull requests. When you cannot tell AI-generated work from human work, throughput goes up, review load shifts, and your metrics quietly stop meaning what they used to.

FeatureFactory is an SEI platform designed for that reality. It computes the engineering metrics you already rely on - DORA, cycle time and flow - while attributing every change to its true author, human or agent. The result is intelligence that reflects how software is actually built today, not a snapshot of how teams worked before agents arrived.

Because everything is derived from your existing version control and CI systems, there is nothing to install on developer machines and nothing to trust on faith. Each number shows its formula and source.

Most intelligence platforms only measure. They tell you cycle time crept up but not which requirements, which reviews or which agent output caused it. That gap is where insight goes to die - you get a number without a lever to pull.

FeatureFactory closes the loop. Planning turns intent into clear requirements and acceptance criteria, building ships the work with human and AI contributors, and measurement feeds outcomes straight back to the features that produced them. See the full flow on the product tour or read how it works.

The payoff is that intelligence becomes actionable. When a metric moves, you can trace it to the plan, the pull requests and the tooling behind it - and decide what to change next with evidence instead of opinion.