Advice

AI systems are only as reliable as the testing behind them. Red teaming brings a fresh, proactive approach to testing by helping you spot risks early.

One of the biggest challenges in software testing is not having the right visibility. Too little knowledge, and you’re guessing. Too much, and you get bogged down in code. 

Quality engineering and assurance efforts, and testing as a part of those, have never been more critical than they are today. 

Imagine you are designing a new mobile app that will help global users in managing their schedules. You have spent a lot of time designing the features and polishing the design, but you are not sure how intuitive it really is.

25% to 35% of a software testing team’s time is spent on writing and maintaining test cases. Yet, poorly written or incomplete test cases can lead to missed defects, inefficient testing, and costly rework.

Suppose you’re working on a complex software project with a tight deadline. Your team has limited time and resources, but the application is growing in complexity with each sprint. Testing every feature thoroughly is impossible, so how do you decide what to test first?

When a new feature rolls out, the last thing any team wants is to deal with unexpected bugs slipping through testing.

All companies want the best talent. Recruitment has changed significantly over the years, navigating shifts between candidate-led and employer-led markets, tech layoffs, and growing demand for flexibility from candidates.

Finding a bug is one thing, but documenting it is just as important, if not more so.