Nine areas covering the API platform end to end, from first principles through governance, AI, and monetization.
REST API design, authentication, versioning, error handling, and the foundational patterns every API developer needs.
Architecture patterns, microservices, service mesh, event-driven APIs, and how to design systems that scale.
Buyer's guides, head-to-head comparisons, and deep dives on API management platforms, gateways, and tooling.
Building production LLM-backed APIs — streaming, cost optimization, RAG, and AI-specific design patterns.
What AI gateways are, how they work, and how to use them for routing, caching, and governance of LLM traffic.
Frameworks, tools, and best practices for governing APIs at scale — from design linting to lifecycle management and compliance.
How to design and expose APIs for AI agents — MCP, tool calling, function calling, and agentic permission models.
Security, authentication, monitoring, and enterprise governance for Model Context Protocol servers and gateways.
Pricing models, metering, billing infrastructure, and revenue strategies for APIs and AI services.