TuringBots are a major trend, and tools like GitHub Copilot or Test Rigor are gaining huge market interest. In a nutshell, the ChatGPT phenomenon and rapid vendor investment into TuringBots based on generative AI and LLMs have made natural language a key authoring mechanism for tools across the entire software development lifecycle. This has accelerated our previous predictions on the mainstream adoption of AI in software development by at least five to 10 years.
But what will be the real impact of TuringBots in the low-code market? Based on research so far, this is our hypothesis:Every enterprise we’ve spoken to so far sees TuringBots accelerating its low-code adoption plans. This is especially true for citizen development: Citizen developers love the experience of giving a natural language prompt to a low-code platform and having it create an app before their eyes.