Tag: software testing
Sandbox Testing for API-Heavy Systems: What Changes When You Don’t Own the Dependency
Sandbox testing works well when your team controls both sides of the integration. You define the service, you define the mock, you know exactly what the sandbox should return. That setup holds ...
Validation Debt That Your Dashboards Are Not Showing
The gap between how fast AI writes code and how reliably teams verify it is quietly becoming a balance-sheet risk. Enterprise leaders are learning to measure it before it forces repayment. Every ...
AI-Native Testing Is Now a Core Quality Engineering Discipline
Predictions from some of the most prominent voices in the technology industry suggest that software engineering could become increasingly obsolete within a year, jolting the developer community in ways that are still ...
Why AI Testing Must Live Inside Your CI/CD Pipeline
Here is a situation most engineering leaders recognize. You roll out AI coding tools. Features ship faster. Developers are more productive. Then, a few months in, you realize something unexpected: the engineers ...
Why DIY Test Automation Succeeds Its Way Into a Problem
Ask any engineering team if they can build their own test automation framework, and the answer is almost always “yes.” With modern AI tools involved, that answer arrives faster and with more ...
Regression Testing Tools in the Age of AI-Assisted Development: What Has Changed
For most of the past decade, the conversation around regression testing tools was fairly stable. The tools got faster, the integrations got smoother, and the underlying approach stayed largely the same: write ...
Why DORA Metrics Look Different When AI Is Part of Your Development Workflow
DORA metrics have been a reliable compass for engineering teams for over a decade. Deployment frequency, lead time for changes, change failure rate, mean time to recovery, and reliability give teams a ...
Can QA Reignite its Purpose in the Agentic Code Generation Era?
AI-generated code is accelerating development but it exposes a deeper issue. Why deterministic infrastructure is becoming the foundation of agentic QA ...
Survey: Adoption of AI Software Testing Slowed by Trust Issues
A new global survey from Leapwork underscores a growing tension in software development: while AI is widely viewed as essential to the future of testing, many teams remain hesitant to rely on it for ...
AI Is Forcing a Rethink of Software Testing and QA
SmartBear vice president of AI and architecture Fitz Nowlan explains why maintaining software integrity in the age of artificial intelligence requires organizations to double down on testing and quality assurance. He discusses ...
Survey Sees AI Being Applied to Improve Software Quality Testing
A global survey of 1,775 IT and business executives published today finds 71% are working for organizations that have integrated some form of artificial intelligence and generative AI capability into their operation, ...
The Promise and Perils of Generative AI in Software Testing
Organizations can harness the full power of GenAI to drive innovation in software testing and deliver high-quality software products ...

