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REST Design & Build
Resource modeling, verb discipline, and error structures — the boring consistency partners adore.
We design and build REST and GraphQL APIs that your partners love to consume and your auditors love to review — OpenAPI-first, auth-hardened, and load-tested before launch.
Great APIs get consumed without hand-holding; bad ones generate Slack messages forever. We start with the contract: resources, verbs, errors, pagination — reviewed and published in OpenAPI before implementation begins.
Then we implement in Node.js/Express or Java/Spring with production disciplines: idempotency, versioning, structured logging, rate limits, and load-tested throughput targets.
Resource modeling, verb discipline, and error structures — the boring consistency partners adore.
Design schemas, resolvers, and federation where over-fetching and N+1 actually hurt.
OAuth2, JWT rotation, scope models, secret management, and abuse detection tuned per threat model.
Right-sized service boundaries with sync/async patterns — not default microservice theatre.
Caching strategy, query tuning, connection pooling — measured with k6, tuned until targets hit.
Stripe, Twilio, Salesforce and friends — webhook handling, retry patterns, and sandbox-testing practices included.
Entities, workflows, and consumers mapped to propose resource boundaries.
OpenAPI spec with examples, error catalog, and versioning policy — reviewed live.
Layered codebase with lint rules, code reviews, and unit/contract tests.
Security checks, rate-limit tuning, k6 baselines — production rehearsal.
Developer portal, Postman collections, dashboards, and SLO alerts live.
Framework choice follows your ecosystem: Express for Node shops, Spring Boot for JVM estates — always with tests and CI in scope.
Docs aren't afterthoughts — we enforce CI checks that fail releases without spec synchronization.
Design-only engagement
Design → build → launch
Fix failing APIs, calmly
It depends on consumer diversity. Public partner APIs and CRUD domains favor REST simplicity. Many mobile/front-end clients with varied shapes benefit from GraphQL. We'll prescribe honestly after discovery — and can advise on safe adjacent combinations.
URL-or-header major versions where compatibility must break — with deprecation windows and consumer telemetry before voluntary sunsets. Within a major version, additive change only, enforced by contract tests.
Both. Cloud deployments use your accounts with documented IAM policy; on-prem receives Docker/Kubernetes delivery with runbooks either way. Your team retains full operational ownership.
Our error catalog maps every failure to a human-readable problem+json or stable error-code shape — client-friendly, machine-stable, and safe against information leakage.
Yes — docs include getting-started cURL/Python/JS samples, auth walkthroughs, common pitfalls, and versioning/deprecation calendars. Updated automatically from the spec on every release.
Book a free API design review — we'll critique your draft spec or sketch your first resources.