A practical guide to GraphQL schema stitching and type merging with patterns, code, performance tips, and pitfalls for building a reliable gateway.
Design and implement REST API partial responses for speed and safety—syntax options, caching, security, and implementation patterns with examples.
Practical guide to AI fraud detection API integration: architecture, payloads, security, thresholds, MLOps, and operations with code samples.
A practical guide to designing and implementing custom GraphQL directives with examples in TypeScript and Java.
A practical, secure guide to setting up a Model Context Protocol (MCP) server in TypeScript and Python, wiring clients, and hardening for production.
A practical blueprint for building scalable, safe AI support chatbots—from NLU and RAG to orchestration, guardrails, and observability.
