How ArtificialIntelligence is Redefining Software Development

Recent advancements in Artificial Intelligence (AI) are set to significantly impact our lives. For instance, new AI products can create impressive videos from just a few lines of text. Established applications, such as text-to-speech and translation services, also demonstrate remarkable quality thanks to AI. Clearly, AI is already proving to be both practical and effective in real-world applications.

But not everything that glitters is gold. When AI-generated images depict people with six fingers, or produce absurd texts in graphics, the extent of the problems becomes immediately clear. These issues are often referred to as „AI hallucinations,“ which sounds better than calling the results „garbage.“

Similarly, AI is increasingly valuable in software development, particularly for generating unit tests that verify the functionality of custom code. It can also assist with code generation and software design. However, the output requires careful scrutiny, as AI models are trained on diverse sources of varying quality. Moreover, crafting effective prompts demands skill, and for some developers, writing code directly may be quicker than formulating detailed prompts.

Development is advancing rapidly. A tool that was evaluated last week might already be outdated by the following week, and there’s always a new trend to consider. We’re keeping a close eye on these developments, staying engaged while critically assessing quality and maintaining a strong focus on security and privacy.