The complexity of Software development life cycle and the reducing delivery period are increasing at an alarming rate. Correspondingly, there is a need to provide instant feedback and evaluation to the development team. On the other hand, when the developer adds new changes to the code, the existing code, which has already gone through testing, might stop working. So, after every addition made to existing code, new tests are to be conducted for that code. Also, the Tester may always face a plethora of problems and waste a lot of time figuring out perfect solutions for all those problems. It is time for the testers to stop working harder and start working smarter.

Will artificial intelligence help amplify the skills of our workforce? The onset of AI is requiring us to break apart the bundles of tasks that form many current jobs, and realign them with existing human talent and machine-based skills. For example, a telecom provider employs AI to diagnose and help customers with common service problems, while the call center reps who once walked customers through diagnosis steps are now employed to assist with higher-level situations. The shift to AI-enhanced jobs -- or "superjobs" -- isn't going to happen naturally. It's going to require forward-looking management.