Low-code platforms, which help non-tech people create software with little coding, are in trouble because of AI development tools.
The industry has grown fast—Forrester thinks it will reach $50B by 2028—but AI changes the reason to use low-code.
How low-code was helpful: It cut down on developer work, sped up internal tools, and let non-developers create apps.
Developers still had to spend time setting up and managing it. Plus, there were combination problems and not much flexibility.
AI is different:
- Developers can now create tools quicker, cheaper, and with more flexibility than low-code.
- AI solutions built in-house cost less to manage and improve UI, maintenance, and combination.
For example: Cloud Capital moved all its internal admin tools from Retool in just a couple of sprints. They got faster, had more control, and a better product.
What's next:
- Current low-code platforms will change to add AI features.
- To survive, they need to help non-technical users in a way that AI can't yet.
- For teams with good developers, AI tools built in-house now give a better return on investment than low-code.
AI coding has changed the decision of whether to build or buy. AI's speed, cost, and flexibility now beat out what low-code offered for many companies.
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