AI Agent Governance: Frameworks, Standards and Tools
AI agent governance covers the policies and identity controls that keep autonomous agents in check, built on NIST, OWASP, ISO and EU AI Act rules.
7 min read
A collection of useful articles for developers and software enthusiasts. Learn about the latest trends and technologies in the community.
AI agent governance covers the policies and identity controls that keep autonomous agents in check, built on NIST, OWASP, ISO and EU AI Act rules.
7 min read
A practical guide to MCP server deployment: picking a transport, choosing a host, and adding auth, with real examples from Cloud Run, AWS, Cloudflare and Vercel.
8 min read

An MCP gateway sits between AI agents and MCP servers. Here are 8 options compared, from open source projects like Docker and Microsoft's to managed platforms like Composio and Kong.
9 min read
Learn how to deploy an AI agent: pick an execution pattern, choose a host, and launch safely, with real examples from LangGraph, AWS, Google Cloud and Salesforce.
7 min read
AI agent pricing models explained with real numbers from Salesforce Agentforce, Intercom's Fin AI Agent, and Anthropic's Claude API pricing pages.
6 min read
MCP vs Agent Skills, compared on how each connects an AI agent to the outside world: MCP as a client-server protocol for live tools, Agent Skills as local Markdown instructions.
7 min read
Vertical AI agents work inside one industry instead of many. See how they're built, real production examples, and when to choose one over a general agent.
7 min read
MCP vs REST API comes down to who decides what to call: a developer at build time for REST, or the model itself at runtime for MCP.
8 min read
MCP transports are stdio and Streamable HTTP. Here is how each carries messages, what the 2026-07-28 revision removed, and how Claude Code connects to them.
4 min read
Adam Riccoboni, author of The AI Age, on why agents beat chatbots for productivity and five lessons from a decade of custom AI builds at Critical Future.
8 min read
MCP prompts are reusable message templates an MCP server exposes through prompts/list and prompts/get. Here is how they work, with the 2026-07-28 changes.
4 min read
A Copenhagen agency founder on logging MCP agent runs, splitting agent time from human review, and turning a run into an invoice line without watching anyone's screen.
5 min read
MCP elicitation lets a server pause a tool call to ask the user for missing input, in form mode or URL mode, before it continues. Here's how it works.
1 min read
MCP sampling lets a server ask the client's model for a completion. The 2026-07-28 MCP spec deprecates it, so here is how it worked and how to migrate.
4 min read
MCP Inspector is the official tool for testing and debugging MCP servers in a browser, a terminal or CI. Setup steps, CLI exit codes and what changed in v2.
5 min read
A comparison of seven AI sales agents for 2026, covering what each one automates, who it fits, and what it costs.
9 min read
AI agent guardrails are the enforceable checks that keep autonomous agents inside safe limits. How OpenAI, LangChain, NVIDIA and AWS build them, and when to use each type.
3 min read
MCP resources vs tools comes down to who decides when each is used: the model calls tools, the application loads resources. Here is how the two differ and when to use each.
6 min read
MCP server examples worth reading: the seven official reference servers, the weather tutorial in Python and TypeScript, and how to run and debug each one.
8 min read
Customer service AI agents resolve support tickets without a human at every step. Eight platforms compared on approach, pricing and best fit for 2026.
7 min read
Claude subagents are isolated AI assistants inside Claude Code with their own context window. Here is how Claude subagents work and when to use them.
6 min read
MCP authentication secures MCP servers with OAuth 2.1: how the authorization flow works step by step, how to implement it, and the mistakes that leak tokens.
7 min read
Learn how to test an MCP server with the MCP Inspector, automated pytest checks, CI scripts and security red teaming, step by step.
9 min read
AI agent architecture is the set of layers and patterns that turn a language model into a system that plans, uses tools and acts. Here's how it breaks down.
10 min read