A practical blueprint for deploying autonomous AI agents to production—architecture, safety, reliability, evals, cost control, and ops patterns.
A practical guide to GraphQL error handling: schema design, HTTP codes, partial data, masking, client patterns, observability, and examples.
A practical guide to function calling vs. tool use in LLMs: architectures, trade-offs, design patterns, reliability, security, and evaluation.
Design robust API throttling and user tier management with algorithms, policies, headers, and billing integration.
Design reliable webhook retries: backoff with jitter, idempotency, Retry-After, DLQs, security, and ops patterns for resilient REST API webhooks.
A practical blueprint for enterprise API governance: standards, security, lifecycle, observability, and a 90‑day rollout plan to scale APIs safely.
