How We Use Appium As Our Product's Core Library
summary
MagicPod uses Appium as its core and adds concrete fixes: custom commands like scroll_to that repeatedly swipes until an element appears across iOS/Android, catch_all wait that takes screenshots and image-compares to detect animation end, and picker_auto that infers picker direction/value to set numbers. UI trees via mobile force/description3 return in ~100–180ms (≈9–10× faster, in some cases up to ~30×), an AI locator generates UI maps and icon names, regression Appium suites run in CI, and GitHub tools and a bug reporter collect device state; Espresso and WebDriverIO migrations are planned.
AI-written summary · about
chapters (15)
- 0:00Introduction
- 1:30Background
- 3:36User Friendly
- 9:10Commando
- 13:40Limitations
- 16:20Better Appium
- 22:21Implementation
- 32:37AI Rocket Directory
- 33:16Solution
- 35:45IBM Issue
- 36:32Collaboration
- 37:09Environment
- 37:58Bug Reporter
- 39:01Bug Inquiries
- 40:10Conclusion
related talks
57mAppium: Automation for Apps
39mAppium: An Open Source Software Success Story
23mAppium: Under the Hood of WebDriverAgent
46m6 Years of Appium
52mAppium 2.0 - State of the Union
42mHow AI can Assist Script-Based Automation
52mBuilding an Advanced Automation Solution Based on Appium
01h 23mWorkshop: Debug with Appium MCP