Stay updated with the latest developments in Artificial Intelligence
Santa Clara County prosecutors charged Gabrielle Hanson, 32, and Jacob Randolph, 39, with felony child neglect after 8 year old Aurora Williams died days after a severe asthma attack in May.
A 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.
Swagger Editor, SwaggerHub, Stoplight's tooling, Postman Spec Hub, Insomnia, Apidog, and Redocly all edit an API spec, but they start from different inputs and stop at different points. A researched map of each, sourced.
Most API doc platforms assume you already have an OpenAPI file. A researched map of what actually produces a reference doc when you don't: collection imports, AI write-ups, traffic discovery, and code-derived catalogs.
Spec-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.
Spec-diff generators, docs platforms with a changelog built in, generic release-notes widgets, and git-native automation: a researched map of what actually produces an API changelog, and where each one falls short.
A researched map of how teams actually watch MCP traffic today: the protocol's own shift to OpenTelemetry, the observability platforms that added MCP tracing, and the gap between debugging a server and running one.
A researched map of what actually governs an enterprise MCP server: SDKs that write server code, gateways that add auth and rate limits in front of one, and platforms that generate and host a governed server directly.
What actually turns a codebase into an MCP server: GitHub's own API server (a different job entirely), OpenAPI-to-MCP generators that need a spec first, code annotation frameworks, and the thin no-spec category.
A 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.
A 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.
A 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.
A precise map of the tools people reach for to keep an API contract true without hand-writing one: schema-first frameworks, code-reading generators, contract testing, and drift detection, and where each one actually stops.
Four working ways to get an OpenAPI 3.1 spec out of a codebase that never had one, what each approach misses, and how to keep the result true.
A plain explanation of MCP servers: what the protocol does, how a server maps to your API, and what it takes to run one in production.
URL versions, headers, dates, or no versions at all: how the four common strategies handle a breaking change, and the discipline that matters more.
Twelve checks that make API governance real: catalog, contracts, breaking change gates, auth, observability, and agent access, all enforced in CI.
MCP does not replace REST. It changes who the caller is. What that shift means for interface design, auth, error messages, and operations.
Weekend demos die on Monday. What we learned running MCP servers for real agent traffic, and what changes when a tool call has an SLA.
Showing 18 of 25 stories
Load more storiesGet the top AI news and tools straight to your inbox every week.
Weekly · AI news from Elva Blog
Join 15,000+ AI enthusiasts
