With tools like Cursor, Claude, and ChatGPT canvas are on the boom, allowing users to build software using natural language, it feels highly reminiscent of the times when LC/NC platforms also lowered the barrier to entry for app development and made it easier for companies to teach their developers the existing solutions within the companies.
The community is now questioning the relevance of low-code/no-code (LC/NC) platforms in the AI era. How do these platforms continue to stay relevant in a landscape dominated by artificial intelligence?
While these tools were a great choice for prototyping an idea or starting a project, LC/NC platforms are a nightmare when considering scaling a project, which seems to be the same for modern AI coding tools. Not much has changed.
Amidst the challenges and shift towards AI coding tools, is there still a role for low-code, no-code platforms, like Bubble and Webflow, in today’s landscape, …