AI discussions tend to fall into two camps: heavy users and skeptics. Many developers admit they were initially doubtful. Once they started experimenting with AI tools, however, their view shifted. Instead of seeing it as something magical or threatening, they began to treat it as another tool in the toolbox. It helps with routine tasks, speeds up research, and can even provide quick crash courses when learning a new framework or language. At the same time, some engineers still feel the technology is not mature enough. They prefer to wait a few years before integrating it into their workflow. That hesitation is understandable. AI outputs are not always reliable, and it still requires human judgment. But others already rely on it daily. Some use it like an advanced search engine for documentation and debugging. Others point to broader scientific breakthroughs, such as AI-assisted cancer screening or DeepMind’s AlphaFold solving the long-standing protein folding problem. Whether you love it or remain skeptical, AI is becoming part of the development landscape. The real question is how people choose to use it. What’s your honest take? submitted by /u/aisatsana__
Originally posted by u/aisatsana__ on r/ArtificialInteligence