Reclaim the software factory.

The term software factory used to mean an assembly line of offshore contractors and heavyweight process. The new enterprise pitch dresses it up with AI, but the shape is the same: a vendor takes your requirements, disappears into a black box, and returns code you did not write and cannot fully audit.

FeatureFactory reclaims the metaphor. A factory is only useful if you can watch the line, inspect the parts, and own the output. We keep the discipline of a repeatable pipeline while putting your engineers on the floor. Agents do the assembly, but every diff flows through review you control. See how it works or read the manifesto.

The difference is starkest against managed engagements. Where 8090 sells outcomes behind a service wall, FeatureFactory sells you a line you operate yourself, with the IP staying in your build pipeline.

Most software factories optimize for throughput and stop there. Shipping faster is meaningless if you cannot tell whether the features moved anything. That is the gap FeatureFactory closes: the line does not end at merge, it ends at a measured outcome.

Every feature that leaves the factory is attached to signals that matter, from DORA metrics and cycle time to PR quality analytics. When agents write a growing share of your code, that instrumentation is not optional. It is how you catch regressions and measure AI-generated code before it compounds into debt.

The result is a closed loop: plan, build, measure, repeat. Each release feeds evidence back into the next planning cycle, so the factory tunes itself around real impact instead of vanity velocity. That is the loop a coding agent alone can never give you.