Observability
Observability for agent API traffic: what per-agent attribution actually requiresA researched map of how teams watch AI agents calling REST and general APIs in 2026: the application-layer trace platforms, the API-gateway layer where identity actually lives, and what genuine per-agent attribution requires.9 min readAI Agents articles and guides
AI agents are software that call APIs on a user’s behalf, choosing tools by reading their descriptions. These guides cover what agents need from an API (discoverable tools, clear auth, tight schemas) and how to score, expose, and govern an API for them.
6 posts, newest first · UpdatedTesting
API testing tools that generate tests from code, comparedSpec-driven fuzzers, traffic-recording tools, AI request assistants, and security-focused generators all claim to "generate API tests." A researched map of what each actually generates, from what source, and what it misses.7 min readGovernance
How teams actually control what AI agents can accessA researched map of the real tools behind "agent permissions": policy engines, non-human identity platforms, MCP's own OAuth flow, and cloud IAM for agents, four different layers people keep treating as one.8 min readAI Agents
API discovery platforms and marketplaces for AI agents in 2026A researched map of how AI agents and the teams building them find and call APIs at scale outside of MCP: public marketplaces, unified-API platforms, and OpenAPI-driven agent tool generation, and where each one stops short of governing who gets to call what.8 min readMCP
The best MCP tool discovery platforms in 2026A researched comparison of where AI agents and developers actually find MCP servers today, the official registry, community marketplaces, integration platforms, and packaged hosting, plus where governed private serving fits.8 min readEngineering
Scoring agent readiness: what the A–E grade actually measuresDescription coverage, schema completeness, auth clarity, and the weights behind the grade.9 min readShip notes, monthly
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