In the coming years, generative AI (GenAI) is expected to revolutionize software product engineering. Because it presents a ...

While our industry has tried to move security earlier in the software development process, the way it has been done isn’t ...

Considering the scaling history and trajectory of generative AI models (specifically large language models, or LLMs) specialized for coding, the software development life cycle (SDLC) is ripe for ...

Software engineering leaders must budget time and resources to train their developers in areas of model life cycle management, such as model validation, deployment, operations and monitoring.

Even experienced teams can fall prey to common SDLC management mistakes, which can lead to delays, cost overruns, quality and security issues, and more.

The focus here is on going beyond code completion and helping developers with a wider range of routine tasks involved in the end-to-end software life cycle. The service, which you may remember ...

Katalon‘s tools make it easier to create automated tests, run them, evaluate the results, and coordinate test automation as a critical, continuous loop in the software development life cycle.

The software development life cycle (SDLC) continues to evolve through AI automation. The development platform is gaining an additional layer that will ultimately merge AI and low-code technologies.