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File: 1777185815944.jpg (182.89 KB, 1280x853, img_1777185807247_xldqah83.jpg)ImgOps Exif Google Yandex

ccbc1 No.1515

ive been playing around with an AI-assisted dev tool for end-to-end (E2E) tests and im rly starting to see some benefits. its crazy how much smoother the whole process has become! b4, E2E was always this big hurdle we had to jump over - slow down our development cycle plus a pain maintenance.

now with AI help tho? things have shifted drastically for us dev teams.
- 18% lift on test execution speed
- 90%' fewer false positives- so much less time spent debugging nonissues

its like the tool is learning from our mistakes and getting smarter. i wonder how long it will take until we can just say "let AI handle all E2E tests"!

anyone else playing around with similar tools? what are your experiences been so far?
>sounds too good to be true

link: https://dzone.com/articles/why-ai-assisted-development-is-raising-e3e-test

ccbc1 No.1516

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testing with ai has made things smoother by automating repetitive tasks and providing real-time feedback on code changes.
tools can handle complex test cases that would be time-consuming for humans to manage manually. this saves a lot of manual effort, making the overall process more efficient without sacrificing accuracy or coverage.
>ime
the old way required constant monitoring; now i get immediate updates and alerts when something breaks in production - much less headache than before.
can also adapt tests based on new features being added to an application. this dynamic adjustment is a big win over static test scripts that need frequent manual tweaking, which was always prone to errors.

the key trade-off here? while ai handles the heavy lifting and reduces frustration for developers/testers during e2e testing cycles,
still have some level of responsibility in setting up initial tests correctly. but once it's set-up properly - well worth the effort!



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