After six months running Hasura GraphQL Engine in production, it's replaced the bulk of hand-written CRUD code in our PostgreSQL-backed projects. This guide covers setup with Docker, row-level security without middleware, and realtime subscriptions — all without writing a single backend resolver.
Building rate limiting from scratch reveals what's actually happening inside the libraries you'd normally reach for. This tutorial walks through implementing a concurrent-safe Token Bucket rate limiter in Go — from the core algorithm to HTTP middleware — with practical parameter tuning advice for production use.
Ditch brittle DOM selectors. Learn how to build vision-based AI agents using Anthropic's Computer Use API to automate legacy software, browsers, and desktop apps.
tRPC lets you share TypeScript types between your Next.js backend and frontend with no code generation or separate schema files. This tutorial walks through setting up a type-safe full-stack API from scratch, so a renamed field on the server immediately breaks the client at compile time — not in production.
API failures are inevitable. Learn how to handle them gracefully in Node.js using exponential backoff, jitter, and smart retry logic to improve system reliability.
This article delves into the fundamental concept of APIs, clarifying their crucial role in modern software communication. It offers a detailed comparison of REST and GraphQL architectures, highlighting their distinct differences, benefits, and practical use cases, complete with code examples.
The Model Context Protocol (MCP) is crucial for AI models to interact effectively with external tools and APIs, overcoming their inherent limitations. This comprehensive guide covers the core concepts of MCP, from defining tools and orchestrating calls to handling complex workflows and prioritizing security. Learn how to build dynamic AI applications that fetch real-time data and perform actions far beyond their initial training.
Webhooks push events straight to your endpoint the instant something happens — no polling loops, no wasted API calls. After 6 months running webhook integrations in production, this guide covers how they work, honest pros and cons, and a secure implementation pattern with signature verification and idempotency handling.