Field manual

What the generator is good for

Legitimate uses for the EndpointEcho API endpoint name generator — docs, mocks, teaching and design reviews — and where a naming tool stops being enough.

01API documentation drafts

Writing docs before the API exists is normal — and naming every endpoint by hand is slow. Generate the full CRUD set for each resource, paste it into your OpenAPI draft or wiki page, and let the team argue about semantics instead of spelling. The machine enforces consistent pluralization and casing across dozens of resources, which is exactly the consistency reviewers stop noticing (and start relying on).

02Frontend mocks and prototypes

Frontend teams should not wait for backends. Generate the endpoint set, point a mock server (or even a static JSON file) at those paths, and build against a contract that already follows the conventions. When the real API lands with the same names, integration is a config change, not a rewrite. Mismatched names between mock and reality are a classic integration tax — generating both from one source avoids it.

03Teaching REST conventions

Nothing teaches REST naming like doing it. In workshops and onboarding, have newcomers type their domain resources into the machine and compare the output against their first instincts — the gap between /getAllUsers and GET /users is the whole lesson. The conventions chips double as a cheat sheet: plural nouns, kebab-case, no verbs, versioned.

04Design reviews and RFCs

API proposals live or die in review. Attaching a generated, convention-clean endpoint list to an RFC keeps the discussion on semantics (should this be nested? is this the right resource?) instead of bikeshedding spelling and casing. Reviewers can also regenerate with different options — "what if we flatten this?" — and compare side by side in seconds.

05SDK and client scaffolding

Client libraries mirror endpoint structure: client.users.list() maps to GET /users. A clean, predictable endpoint set makes SDK design almost mechanical. Generate the endpoints first, then derive method names from them — consistency flows downhill from the URL design.

06Interviews and take-homes

Backend interview loops love API design exercises: "design the endpoints for a tiny bookstore." Candidates who produce GET /books, POST /books and GET /books/{bookId} instead of /getBooks signal convention fluency in the first five minutes. Practicing with the machine builds that fluency — generate, then explain why each choice follows the rules.

07Where it stops being enough

A name generator does not design your API. It will not choose your auth scheme, your error format, your pagination contract, your rate limits or your idempotency strategy — and it cannot tell you whether orders should nest under customers in your domain. Use the machine for the mechanical part (naming, casing, plurals) and spend your design energy on the decisions that actually differentiate the API. Generated endpoints are a starting draft; the review is the product.