14 articles
An AI coding agent reads your repo, plans edits, runs tests, and opens a PR autonomously. The model is the easy part. Here is how MCP solves the tool-access problem that makes most coding agent setups break in production.
An autonomous AI agent uses an LLM to reason, call tools, observe results, and iterate toward a goal without human prompting each step. Here is how the loop works, what makes it safe, and how to build one.
42,000+ OpenClaw instances are exposed with no auth, plaintext credentials in config files, and unvetted MCP tools. Here are the real AI agent security risks — and the controls that fix them.
AgentOps is the emerging discipline for deploying, monitoring, and governing AI agents in production. Learn the six components — permissions, observability, approval gates, audit trail, cost control, and workspace isolation — that make agents safe at scale.
A war story about the time an AI agent executed an unintended DELETE statement, and what actually works to prevent it.
18 config entries. 5 API keys in plaintext. 2 hours to onboard. Or: 1 URL, 1 token, and a workspace that handles the rest.
AI agent management is the missing layer between OpenClaw and the real world. 42,000 exposed instances, 824 malicious skills, $270/month token bills. I built a control layer that adds per-tool permissions, approval gates, independent audit logging, and mobile approval. Here's exactly how it works.
The line between a chatbot and an AI agent is now mostly a question of how many MCP tools you wire in. Here's the real technical distinction — and why MCP-orchestrated bots cross it.
An MCP registry is a catalog of Model Context Protocol servers. Hosted registries like Aerostack go further — they run 254 servers for you, handle auth, and serve every tool to Claude, Cursor, ChatGPT, and Gemini through a single workspace URL.
AI agents can read, write, and delete anything you connect them to — yet most deployments have zero tool-level permissions. Here's what AI agent security actually requires, and how Aerostack enforces it.
An MCP gateway replaces per-machine MCP config with one authenticated URL. Set up Aerostack in 60 seconds: 254 hosted servers, AES-256 encrypted credentials, token-based access, and full audit logging.
30 concrete workflow automation examples using AI-native nodes: agent loops, confidence routing, guardrails, identity gates, and parallel execution — all running on Durable Objects.
Every tutorial shows you discord.js. Every no-code tool gives you preset commands. Neither can query your database. Here's how to make a Discord bot that's actually AI-powered — in 5 minutes of real work.
We built Aerostack because MCP configuration doesn't scale. Here's how we turned that into a platform where agents build infrastructure for other agents.