Examples: query, "exact match", wildcard*, wild?ard, wild*rd
Fuzzy search: cake~ (finds cakes, bake)
Term boost: "red velvet"^4, chocolate^2
Field grouping: tags:(+work -"fun-stuff")
Escape special characters +-&|!(){}[]^"~*?:\ - e.g. \+ \* \!
Range search: properties.timestamp:[1587729413488 TO *] (inclusive), properties.title:{A TO Z}(excluding A and Z)
Combinations: chocolate AND vanilla, chocolate OR vanilla, (chocolate OR vanilla) NOT "vanilla pudding"
Field search: properties.title:"The Title" AND text
Unanswered
What are the best AI testing tools for automating test case generation in 2025?

I’ve been exploring ways to improve test automation efficiency using AI. Recently, I came across several tools that use artificial intelligence to generate and optimize test cases automatically.

I’d like to understand-

What are the best AI testing tools nowadays for developers or QA teams, currently trusted?

Do any of these tools have good integration with your existing CI/CD pipelines (ie. Jenkins or Github Actions)?

Has anyone leveraged tools like Keploy or similar for generating test cases or automating? How well do they work in the real world?

I'd love to hear of any open-source, or free trial, AI-driven test generation tools using machine learning, or generative AI for testing.

  
  
Posted 14 hours ago
Votes Newest

Answers

26 Views
0 Answers
14 hours ago
14 hours ago
Tags