Technical

Design Better APIs with AI-Powered Mind Maps

Use AI mind maps to explore API endpoints, model resources, compare REST vs GraphQL trade-offs, and plan versioning strategies visually.

Design your API See example ↓

See it in action

Browse a real, well-designed API mapped node by node from core resources to SDKs.

Open the full map

How it works

API design involves dozens of interlocking decisions — resource modeling, authentication, error formats, pagination, rate limiting — that cascade into each other. A mind map makes these dependencies visible before you write a single line of code.

Start with your domain model. Describe what your API needs to expose. The AI identifies core resources, their relationships, and the operations clients need. This becomes the root of your map.
Branch into design decisions. Each resource forks into sub-decisions: what fields to expose, how to handle nested resources, which HTTP methods to support. “Should order items be embedded or linked?” generates branches exploring both approaches with their performance and consistency trade-offs.
Explore cross-cutting concerns. Authentication, pagination, rate limiting, and error handling span every endpoint. Dedicated branches for these concerns let you define consistent patterns once, then reference them across the map.
Validate against client needs. Walk through client use cases on the map. When the mobile team needs three API calls to render a single screen, you can see that immediately — and branch into solutions like GraphQL, compound documents, or BFF patterns.

Why branching matters for API design

APIs are contracts. Once published, breaking changes are expensive. The branching structure of a mind map lets you explore naming conventions, response shapes, and versioning strategies side by side before committing to a public interface. You can compare “nest order items under /orders/{id}/items” against “use a top-level /order-items?order_id={id}” and see how each affects caching, authorization, and client complexity.

This is especially valuable when designing for multiple consumers. A mobile app, a web dashboard, and a third-party integration each stress the API differently. Branching lets you trace each consumer’s needs through the same resource model and find the design that serves all of them without over-engineering for any single one.

Example

You are designing a SaaS billing API. The root prompt splits into resources: Subscriptions, Invoices, Payment Methods, and Usage Records. Under Subscriptions, you branch into “how to represent plan changes” — proration vs immediate switch vs end-of-cycle. Under Invoices, you explore whether line items should be embedded or fetched separately. The mind map reveals that usage-based billing needs a metering endpoint that feeds into invoice generation, a dependency that connects two branches you might otherwise design in isolation. From there, you branch into idempotency keys for payment retries and webhook event schemas for async status updates.

For related workflows, see system architecture for the broader service design or database design for modeling the persistence layer behind your API.

Now try it yourself

Design a REST API for an e-commerce order management system

The API should center on four core resources: Orders, Products, Customers, and Payments. Use nested routes for sub-resources like order items and shipping addresses, and expose idempotent endpoints for payment processing.

How should we handle partial updates vs full replacements?

Use PATCH with JSON Merge Patch (RFC 7386) for partial updates and PUT for full replacements. PATCH is more bandwidth-efficient and reduces conflicts in concurrent editing scenarios, but requires careful validation of nullable fields.