AI Regression Testing is our regression testing automation service that combines autonomous AI scripting with continuous testing. AI Scripting easily creates test scripts for even newly used functionality, assuring that script portfolios are fresh and complete with current user activity. These current script portfolios are then seamlessly executed through unified testing builds emerging from CI. The combination of instant script creation and complete coverage that is true to real user activity - then run through unified testing - makes QAaaS ART the most advanced and complete regression testing in the world!
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Based on our record, GitHub seems to be more popular. It has been mentiond 2320 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
Sign up at: https://github.com You'll need this for hosting your code and CI/CD pipeline. - Source: dev.to / about 14 hours ago
> AFAIK - the only reason FDB isn't massively popular is because no one has bothered to write good layers on top. I do know of a few folks writing a SQS, DynamoDB and SQLite layers. I started writing this comment: > It seems interesting, but considering what it's for, why aren't the hyperscalers using it? And while writing it I started searching for FoundationDB and found this: >... - Source: Hacker News / 3 days ago
Engaging with open-source projects on platforms like GitHub allows you to work on real-world problems alongside experienced developers. Itโs a great way to learn while contributing to the community. Plus, you can showcase these contributions in your portfolio! - Source: dev.to / 6 days ago
Import requests Import time From datetime import datetime Def check_website(url, timeout=5): """Check if a website is accessible""" try: start_time = time.time() response = requests.get(url, timeout=timeout, headers={ 'User-Agent': 'Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36' }) response_time = round((time.time() - start_time) * 1000, 2) ... - Source: dev.to / 12 days ago
7 If hosted in GitHub, check how many issues there are and how frequently issues are being resolved. - Source: dev.to / 15 days ago
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