Designing APIs for AI Agents: Idempotency, Machine-Readable Errors, and 202 + Webhooks
Most APIs were designed for two consumers: a human reading documentation and code a human wrote once. An AI agent is neither. It discovers endpoints…
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Most APIs were designed for two consumers: a human reading documentation and code a human wrote once. An AI agent is neither. It discovers endpoints…
Every admin console ends up with a file upload — Excel imports, avatar pictures, PDF attachments. Implementing multipart requests by hand in OkHttp…
The Real Trade-offs After building APIs with both REST and GraphQL, I've learned that the choice isn't about which is "better" but about what your c…
The Practical Differences When I started building APIs, REST was the default. Then GraphQL came along and promised to fix everything. After using bo…
PSRESTful wasn't designed in a product meeting. It was built by a developer who spent years wiring PromoStandards integrations by hand: crafting SOA…
Quick Decision Tree: Which to choose? Public APIs / external clients → REST (simple, widely compatible). Internal service-to-service (microservices)…
API Versioning Strategies: URL Path, Query Params, and Headers Compared Every API evolves. Fields get renamed, endpoints get restructured, response…
AI-агенты уже стали частью повседневной разработки. Сначала это выглядит как магия: формулируешь задачу, получаешь код, тесты, иногда даже готовый P…