Before Twitter for iOS code reaches production, we run it through static analysis, automated testing, code review, manual verification, and employee dogfooding. In this last step, we distribute beta builds to our employees to collect real-world feedback on products and monitor code stability through crash reports.

Detailed crash data has had a huge impact to our development process, and significantly improved mobile app performance and quality. This post describes two types of bugs, and how we used detailed data from Crashlytics to diagnose and fix them.Read more…