Building an agentic software factory? Start with the sensor.

The new race in software isn’t about who can code the quickest. It’s about who can verify changes fast enough to keep up when agents are doing the writing, testing, and shipping.

That’s the point behind the “software factory” idea: a delivery system where intent goes in, agents do the work, and humans stay focused on specs and gates. Anthropic’s numbers show why this matters. In May, it merged around 2,500 code changes a day. By September, that had climbed past 30,000. At that point, coding is no longer the choke point. The old development pipeline is.

The article treats the whole thing like a control loop. Intent is the setpoint. Agents are the controller. Verification is the sensor. And if the sensor lags, the controller doesn’t become smarter — it just keeps acting on stale readings and shipping mistakes the tests would have caught. That’s why the usual mix of unit tests, integration tests, staging, and telemetry starts to creak once agents can produce changes in minutes instead of hours or days.

Not all sensors are equal. The piece breaks them into three properties: latency, fidelity, and bandwidth. Latency is how long it takes to get a signal. Fidelity is how close that signal is to the real system. Bandwidth is how many readings can happen at once. Shared staging may be accurate, but it’s slow. Unit tests may be fast, but they can miss the thing that breaks in production. A team needs all three, and most teams only get two.

That’s especially painful in cloud-native systems, where one service can break another across a boundary no test writer fully controls. The source argues that the answer is not more agent enthusiasm. It’s a sensor that can verify each change in a realistic environment, quickly, and at scale. The model behind Signadot is presented as that missing piece. Without it, the factory is just a very efficient way to discover bugs at industrial volume.