Machine Learning powered regression

on YouTube ↗50m

" summary

Proposes automated full-regression by storing baseline screenshots for every sitemap URL and comparing new screenshots to detect unexpected changes, claiming orders-of-magnitude savings versus manual or brittle Selenium suites; implements a crawler that runs screenshots via BrowserStack and stitches multi-viewport captures, generates Selenium tests for hover/click states, and exposes APIs; handles 2,000 pages in ~4 hours, produces 50+ GB for huge sites, and is open-source work in progress with ML attempts to separate template vs content.

AI-written summary · about

" chapters (10)

1. 0:00Introduction and welcome
2. 2:44Problem with regression testing
3. 8:06Snapshot testing approach
4. 13:03Challenges with large projects
5. 19:14Goal of the open-source tool
6. 25:23Competitive advantages
7. 28:16QA efficiency with automation
8. 30:05Machine learning applications
9. 37:11Future roadmap and open-source plans
10. 45:22Q&A and closing

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