Why we use Python
Data, ML services, and automation alongside product APIs. We pick Python when it improves shipping speed, reliability, or maintainability for the problem at hand — not because it is fashionable.
How we deliver with Python
Discovery maps constraints and success metrics. Engineering ships iteratively with review gates, observability, and documentation your team can own after launch.
When Python is the right fit
We recommend Python when the product shape, team skills, and operating model align. If another tool fits better, we say so early — with a clear trade-off narrative.