🔗 Why developers should – and shouldn’t – use LLMs in our development

Why should I use AI? This pressing question is at the forefront of our evolving software development landscape. In the wake of LLMs like ChatGPT, developers must decide how to harness this technology effectively. While LLMs excel at handling repetitive tasks or producing prototypes quickly, they can compound security risks and tech debt if misused. I found that the clients I work with sometimes desire AI solutions even when they're unnecessary. This muddles our understanding of their actual needs, highlighting the importance of expert insight over flashy trends. I’ve noticed the most significant shifts in our workflow center on using LLMs to free developers from rote tasks, allowing us to focus on creative problem-solving instead. However, caution can't be overlooked: without proper review, LLM-generated code can lead to serious vulnerabilities.