AI and the Future of Testing
summary
Demonstrates using ChatGPT, Gemini and GitHub Copilot to do test generation and framework-to-framework conversion (Vue unit tests to Cypress component and end-to-end tests). AI often produces runnable tests quickly but also invents selectors, misses newer APIs and fails quietly, so results are inconsistent rather than deterministic. Shows a conversion workflow that mostly works after small fixes. Highlights Cypress’s test replay capturing DOM, network and console to surface missing coverage, accessibility gaps and visual diffs, turning test runs into actionable app-quality data.
AI-written summary · about
chapters (10)
- 0:00AI and the Future of Testing
- 1:46How does AI work?
- 2:18What is AI?
- 3:32How can we use AI?
- 3:53AI: Test Generation
- 9:52AI: Test Conversion
- 14:14AI Summary
- 16:593 Pillars of a Testing Tool
- 18:51Imagine a World
- 21:26Where We're Headed
related talks
44mAI Empowered Software Testing
55mAI-First Testing
35mApp Testing with AI Tools – Make it Easy
01h 26mAutomation of the Automation using GenAI
41mAI-Augmented Testing: How Generative AI, Prompt Eng Turn Testers Into Superheroes
29mQA vs AI: Friends or Foes?
59mAI is Eating the Developer Career! Wait, what? Maybe it's the other way around?
01h 16mAI in Software Development: Boosting Efficiency