A major U.S. automotive manufacturer, renowned for its economical and attainable range—from ICE vehicles to EVs across logistics and mobility—partnered with TribalScale to build a dual-persona ride-hailing app for iOS. This initiative aimed to deliver a more reliable, efficient experience for both passengers and drivers.
Impact Delivered
Challenge
Development constrained by outdated engineering approaches and no pair-programming culture
Sluggish API responses and inconsistent error handling
Inefficient dependencies hampering delivery speed and code health
Solution
We dove into TribalScale’s tried-and-tested agile practices, introducing pair programming and modern QA workflows. Working closely with engineering teams, we also embedded exploratory testing into the delivery cycle from day one.
Architecture Overhaul: Refactored the codebase using Model-View-ViewModel (MVVM)—streamlining development of new features.
Performance & Stability: Reduced API calls, bolstered error handling, and optimized UX—achieving a 66% decrease in pilot-stage critical issues.
Testing Culture: Onboarded and trained exploratory testing engineers, integrating every build into early and effective QA cycles.
Tools and Technologies Used:
Swift
Postman API
jenkins
SonarQube
gRPC
Outcome
TribalScale’s engagement empowered the manufacturer to deliver a robust, user-friendly ride-hailing app that matches the pace of modern market expectations. With an optimized codebase and embedded QA culture, the team is now equipped to scale faster and support broader adoption—setting a new digital standard in automotive mobility.
Why It Matters
This engagement demonstrates how automotive innovators can leapfrog competition by pairing modern architecture with embedded testing strategies. By mastering scalable delivery and resilient code, they future-proofed their mobility platform—and raised the bar for digital craftsmanship.