Low-code and no-code platforms have matured significantly, and the addition of AI copilots is a major reason why. Instead of dragging and dropping every component manually, teams can now describe what they want in plain language and have the platform scaffold data models, workflows, and interfaces automatically.

This is lowering the barrier for domain experts—operations, marketing, finance teams—to build their own internal tools, while freeing engineering teams to focus on complex, high-value systems that truly need custom code. The best implementations still involve engineers setting guardrails around data access, integrations, and scalability so citizen-built apps don't become a maintenance burden.

We're increasingly recommending a hybrid approach to clients: low-code with AI assistance for internal tools and rapid prototypes, and custom-built platforms for core products where performance, flexibility, and long-term scalability matter most.