Choosing Between REST and GraphQL Is the Wrong First Question
Teams often start API design by debating REST versus GraphQL, but that debate skips a more important question: who consumes this API, and what do they need from it? A public API serving many third-party integrators benefits from REST's predictability and caching behavior. An internal API feeding a complex, data-hungry frontend often benefits from GraphQL's ability to fetch exactly the fields a screen needs in a single request.
Many enterprise platforms end up running both — a stable, well-documented REST API for external partners and a GraphQL layer for internal frontend teams who need flexibility without waiting on backend changes for every new UI requirement.
Structuring Consistent API Responses
Nothing frustrates API consumers faster than inconsistency — one endpoint returning errors as a string, another as a nested object, a third silently returning an empty array instead of a 404. A consistent response envelope (a predictable success/error shape applied across every endpoint) dramatically reduces the amount of defensive code every client has to write.
JWT Authentication Done Properly
JWTs are popular because they're stateless and scale well across distributed services, but they're frequently implemented with mistakes that undermine their security benefits: tokens with excessively long expiry, no refresh rotation, or sensitive data embedded directly in the payload (which is readable, not encrypted, by anyone who intercepts it).
A robust setup uses short-lived access tokens, longer-lived refresh tokens that can be revoked server-side, and keeps the token payload limited to non-sensitive claims like user ID and role — never passwords, personal data, or anything that shouldn't be visible if the token is decoded.
Rate Limiting: Protecting the API From Its Own Success
An API without rate limiting works fine until it doesn't — a single misbehaving integration, a runaway script, or a genuine traffic spike can take down shared infrastructure for every consumer. Tiered rate limits (by API key, by endpoint cost, by subscription plan) let the platform stay available for well-behaved consumers even when one client misbehaves.
Documentation That Stays in Sync With the Code
Self-updating API documentation — generated from OpenAPI/Swagger specs embedded in the code — solves the most common documentation failure: docs that describe an API version that no longer exists. When documentation is generated from the same source as the API contract, it can't drift out of date without the build failing.
