Comparison
FeatureFactory vs Sleuth
Sleuth is DORA-first deployment tracking. FeatureFactory includes DORA and adds quality scoring, planning, and a lens on AI-generated code.
The short version
Sleuth is a strong, focused DORA and deployment tracking tool - especially for deploy-to-incident forensics. FeatureFactory covers the same DORA metrics but goes wider: PR quality scoring, an AI-versus-human code lens, and upstream planning that ties each change from intent to shipped outcome.
Why teams pick FeatureFactory
DORA, plus a quality lens
FeatureFactory tracks the same DORA metrics Sleuth is known for, then adds PR quality scoring so you can see not just how fast you deploy, but whether the changes going out are sound.
A lens on AI-generated code
As more of your diffs come from Claude Code, Cursor or Copilot, FeatureFactory separates AI from human contributions and grades both - a view deployment tracking alone does not give you.
Planning in the same loop
FeatureFactory generates product plans and acceptance criteria and links them to the shipped change, so measurement starts at intent - not at the moment code hits production.
Developer-led and transparent
Published pricing, your IP, and a plan-to-outcome trail engineers can inspect. FeatureFactory is built to be read by the people writing the code, not just reported upward.