API development isn't just writing endpoints — it's the full lifecycle: design, implementation, documentation, and ongoing maintenance. That means choosing the right paradigm (REST or GraphQL), building auth flows that actually hold up, handling rate limiting and versioning, generating OpenAPI specs, and shipping client SDKs so third-party developers can integrate without wanting to throw their laptops out a window.
專案失敗的原因
合規
REST API Design
GraphQL Schema Design
Authentication & Authorization
Rate Limiting & Throttling
OpenAPI Documentation
Webhook Infrastructure
我們構建的內容
API Versioning Strategy
SDK Generation Pipeline
Contract Testing
API Gateway Configuration
Error Handling Standards
Performance Monitoring
我們的流程
API Architecture Audit
Schema & Contract Design
Implementation & Testing
Documentation & SDK Generation
Launch & Monitoring
常見問題
Should I use REST or GraphQL for my API?
It depends on your consumers. REST's the right call for simple CRUD operations, caching, and broad compatibility. GraphQL earns its keep when clients need flexible queries across complex data — dashboards and mobile apps are the classic example. A lot of SaaS platforms use both: REST for public APIs, GraphQL for their own frontend. We'll recommend the right fit after looking at your specific situation.
How do you handle API versioning without breaking existing integrations?
We implement versioning from day one using URL-path or header-based strategies. Deprecated endpoints get sunset headers with clear migration timelines. Contract tests run against every supported version in CI, so a breaking change surfaces immediately — before it ships. Changelogs generate automatically from your OpenAPI diff.
What languages do you generate SDKs for?
We produce production-ready SDKs for Node.js, Python, and TypeScript — the three languages that cover the vast majority of API consumers. Each one ships with typed models, built-in error handling, automatic retries with exponential backoff, and authentication helpers. They're published to npm and PyPI and regenerated automatically whenever your API spec changes.
How long does a typical API development project take?
A focused API with 15–30 endpoints typically goes from architecture to launch in 6–8 weeks. Complex enterprise APIs with multiple auth schemes, webhook systems, and SDK generation run 10–12 weeks. Scope gets locked during the audit phase so there aren't any surprises mid-project. Every engagement includes 30 days of post-launch support.
Do you build webhook systems as part of API development?
Yes. The webhook infrastructure covers event subscription management, HMAC-SHA256 payload signing, automatic retries with exponential backoff, dead letter queues for failed deliveries, and a consumer dashboard for managing endpoints and reviewing delivery logs. If your API needs to push real-time events to integrators, this isn't optional.
How do you keep API documentation in sync with the actual code?
OpenAPI 3.1 specs get generated directly from source code annotations and route definitions — not maintained as a separate artifact. A CI step validates the spec against the implementation on every pull request. Diverge from the spec and the build fails. Redoc or Swagger UI docs deploy automatically, so what developers read always matches what your API actually does.
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