Coding

API integration

Wire your code to third-party and model APIs without the guesswork and the silent failures.

Knowledge cards
Knowledge card
Design for the Error Responses First
An integration pattern where you have Claude map out and handle the failure responses of an API — timeouts, rate limits, 5xx, partial or malformed bodies — before wiring up the happy path, so resilience is designed in rather than bolted on after an incident.
L3 · Workflows
Knowledge card
Generate a Typed Client From the Schema
An integration pattern where you give Claude the API's schema — an OpenAPI spec, a GraphQL schema, or even a few real response payloads — and have it generate typed models plus a thin client, instead of hand-writing untyped fetch calls scattered through your code.
L3 · Workflows
Best practice
Tell Claude to Make API Failures Loud, Not Swallowed
An instruction to Claude that every external call must handle timeouts, non-2xx statuses, and malformed responses explicitly — surfacing typed errors — rather than the default happy-path client that assumes the network always works and JSON always parses.
L2 · Context engineering
Best practice
Paste the Real API Docs Before Claude Writes the Client
A grounding step: paste the actual endpoint reference — routes, request/response shapes, auth, error codes — into the context before asking Claude to write the integration, instead of relying on what it remembers about the API.
L2 · Context engineering
Claude for API integration

Paste the docs, then ask

APIs are where confident guessing hurts most, because a plausible-looking call to a real endpoint fails in ways that are tedious to debug. The fix is to ground Claude in the actual documentation: paste the relevant part of the API docs — the endpoint, the parameters, the auth, the response shape — and then ask for the integration. Working from the real spec rather than its memory of a similar API keeps the calls correct and the field names right, which is most of the battle in integration work.

Make failures loud

The other integration trap is silent failure — a call that errors quietly and leaves your code carrying on with bad data. Ask Claude to handle the failure paths explicitly: check status codes, surface errors, and fail loudly rather than swallowing them. Have it think through what happens on a timeout, a rate limit, or a malformed response, not just the happy path. Integration code that shouts when something is wrong is far cheaper to run than code that hides its problems until they surface downstream.

Frequently asked
How do I integrate an API with Claude's help?

Paste the relevant API docs — endpoint, parameters, auth, response shape — then ask for the integration. Grounding Claude in the real spec keeps field names and calls correct.

Why do Claude's API integrations fail?

Often because it worked from memory of a similar API rather than the actual docs, getting field names or parameters subtly wrong. Providing the real documentation prevents that.

How do I make API code more robust with Claude?

Ask it to handle failure paths explicitly — status codes, timeouts, rate limits, malformed responses — and fail loudly rather than swallowing errors. Loud failures are cheaper to debug.