API development services for teams who have to live with the result

An API is a promise you have to keep for years. Every consumer that integrates against it becomes a constraint on what you can change, which is why the decisions made in the first week matter far longer than the code does. Pagination, error shapes, versioning, idempotency: get them wrong and every future change is a breaking one.

Most of what we are called in for is not building an API from nothing. It is the integration layer: two systems that both technically have APIs, neither of which was designed for what you now need, held together by a script someone wrote once and nobody wants to touch. That work is unglamorous and it is where the reliability of your whole product is actually decided.

Every API eventually needs to change, and the only question is whether you planned for it. Teams that skip versioning discover the problem when a customer integration breaks in production, and from then on every improvement is negotiated against the risk of breaking someone.

We pick a versioning strategy at the start, make additive changes the default, and treat the contract as the thing under test. It costs almost nothing early and buys you the ability to keep shipping later, which is the entire point of building an API rather than a set of endpoints.

Networks fail halfway. A request times out, the client retries, and the server processes it twice. If the endpoint charged a card or created an order, you now have a duplicate and an angry customer, and the logs will show two perfectly valid requests.

Idempotency keys fix this and take an afternoon to implement properly. Almost no small API has them, and almost every one eventually needs them. We build them in by default on anything that mutates state or moves money.

Putting a language model behind an API is a specific version of the same problem: an unreliable upstream that sometimes returns the wrong shape. Calling it directly from your application scatters retry logic, prompt strings, and provider details through your codebase, and swapping models later becomes a refactor.

We put it behind a typed interface with schema validation, a repair path for malformed output, caching, cost caps, and a provider fallback. Your application then treats it like any other service that might fail, which is the only sane way to depend on one.

Hand-written API documentation is wrong within a month, and everyone knows it, so nobody trusts it and developers read the source instead. That is a slow tax on every integration you or your customers ever do.

We generate documentation from the schema, so it cannot drift from the implementation, and include real request and response examples. If the docs are wrong, the build fails. That is the only version of documentation that stays true.