When evaluating AI for testing, prioritize approaches that keep teams in control and maintain end-to-end testing connectivity ...

Real-world deployments show 40% test cycle efficiency improvement, 50% faster regression testing, and 36% infrastructure cost savings.

Combine AI-generated tests with intelligent test selection to manage large regression suites and speed up feedback ...

In today's market, businesses need to move quickly, deliver seamless digital experiences and build trust with users. In the face of these demands, software testing has evolved from a necessary process ...

New SmartFox AI capability scores tests by proven impact, ending guesswork of test prioritization. QA teams don't lack ...

When LambdaTest was founded, the problem it set out to solve was far more contained but with the rise of AI-generated code ...

Identify sources of unnecessary cognitive load and apply strategies to focus on meaningful analysis and exploration.

Test automation has been pivotal in accelerating software releases, but it came with a high learning curve that limited its reach. No-code testing platforms helped ease that by enabling teams to ...

As enterprises rethink their testing strategies, many teams are reviewing AI test automation tools that can help modernize QA workflows while keeping up with aggressive release schedules. These tools ...

Choosing the right test management tool directly impacts your team's ability to ship quality software fast. QA teams today juggle manual tests, automated suites, scattered documentation, and ...

LambdaTest, a cloud-based software testing platform, has raised $38 million in a Series D funding round as it looks to expand its presence in existing markets and improve its AI capabilities. The ...

Fuzz testing, commonly known as fuzzing, is an automated software testing strategy that involves providing invalid, unexpected, or random data as inputs to computer programmes. Its primary aim is to ...