Introduction

Low-code platforms let non-developers ship apps; AI is adding “describe what you want” and generated flows. Together they’re expanding who can build and how fast. We explore the overlap and when to choose low-code + AI vs. full-code.

What’s in the Box

Visual builders and connectors
Drag-and-drop UI, workflows, and prebuilt connectors still form the core. We summarize how AI is being used to suggest flows, generate formulas, and map data so builders work faster.

AI-generated logic and extensions
Some platforms now accept natural language for logic and generate code or config. We discuss quality, lock-in, and how to review and maintain what’s generated.

Fits and Limitations

Internal tools and MVPs
Low-code + AI is strong for internal tools, prototypes, and simple customer-facing flows. We outline when to start there and when to hand off to engineering for scale or customization.

Governance and security
We touch on access control, audit, and data handling so low-code and AI don’t become a back door around your security and compliance policies.