In today's fast-paced technological landscape, artificial intelligence (AI) has become one of the most discussed and transformative topics. New applications and tools leveraging AI are emerging as rapidly as mushrooms after a rainstorm, offering a plethora of options that can sometimes be overwhelming. Unfortunately, quantity does not always equate to quality; while some AI solutions provide minor advantages, others contribute little to nothing. So, how can we harness the true potential of AI to significantly enhance the quality of our code through better testing practices?