10 articles
AI tools can design RESTful API endpoints, generate OpenAPI specifications, identify inconsistencies in existing APIs, and write client SDK code. This guide covers practical workflows for backend developers using Python and Node.js.
A deep-dive comparison of REST, GraphQL, and tRPC covering architecture, type safety, performance, and real TypeScript examples. For backend engineers choosing an API layer in 2026.
Master the art of designing tools that LLMs can reliably use. Learn schema patterns, error handling, idempotency, and production tool registries.
Master tool schema design, description engineering, error handling, idempotency, and tool versioning to build AI agent tools that agents actually want to use.
Design APIs for AI agents: structured errors, idempotency keys, verbose context, bulk operations, OpenAPI specs, token-based rate limiting, and version stability.
Design APIs clients love: sensible defaults, cursor pagination, problem details errors, rate limit headers, and deprecation lifecycle.
API-first development means designing the contract before writing code. Here's the workflow that actually works in 2026.
Implement a Backend for Frontend to aggregate services, optimize payloads per client, and simplify authentication, making each client experience seamless.
Learn idempotency key design, idempotency stores with TTL, request fingerprinting, and CQRS deduplication patterns for safe retries.
Design your API contract in OpenAPI before writing code, auto-generate types, mock servers, and validation, then detect breaking changes in CI.