Comparison
FeatureFactory vs Git AI
Both track AI-written code down to the line. FeatureFactory turns that measurement into a closed loop - quality scoring, planning, and re-measurement, not just a readout.
The short version
Git AI is genuinely strong at line-level AI code observability - that is its focus and it does it well. FeatureFactory shares that line-level foundation and adds quality scoring plus a closed loop from measure to plan to build, so the data drives planning and ROI, not just a dashboard.
Why teams pick FeatureFactory
Line-level attribution you can act on
Like Git AI, we attribute authorship down to the line. We go further by scoring whether AI-written lines survived, were reverted, or churned - so the number becomes a quality signal, not just a tally.
The closed loop, not just the readout
Git AI is excellent at telling you what the AI wrote. FeatureFactory connects that measurement back to planning: product signal informs the product plan, you build, then you measure the same lines again.
Measure meets plan
Observability alone is bottoms-up. We pair line-level tracking with a product plan and planning surface so engineering and product work from one artifact instead of a dashboard and a doc that never meet.
Developer-led with transparent pricing
Both tools install without a sales gate. We publish self-serve pricing openly, so a team can adopt, evaluate, and expand without a procurement cycle to see the numbers.