A practical guide to structured API logging and observability: schemas, tracing, metrics, correlation IDs, pipelines, and cost-efficient practices.
A practical guide to standardizing REST API responses—status codes, envelopes, errors, pagination, headers, and examples to build resilient, consistent APIs.
How AI code review tools work, key features, pitfalls, and a step-by-step plan to pilot them in your engineering workflow.
A practical blueprint for preventing prompt injection in LLM apps: threat models, mitigations, code patterns, testing, and operations.
Design robust REST API health check endpoints: liveness vs readiness, payload schema, dependencies, security, caching, and production-ready examples.
A practical guide to integrating an AI writing assistant via API—architecture, prompt design, code samples, safety, evaluation, and performance optimization.
