A practical, end-to-end API-first workflow: design, mock, test, secure, observe, and release with contracts as the single source of truth.
A practical, production-ready guide to integrating multi-modal AI APIs—covering architecture, streaming, function calling, safety, cost, and reliability.
Design, secure, and operate reliable webhook APIs with signatures, retries, idempotency, observability, and great developer experience.
A practical guide to integrating AI image generation APIs with production-ready code, architecture patterns, safety, and cost optimization.
Step-by-step gRPC microservices tutorial: Protobuf design, Go services, TLS/mTLS, deadlines, retries, streaming, observability, Docker, and Kubernetes.
How to build and use an AI text summarization API: models, request design, chunking, evaluation, security, and production best practices.
