Practical Agentic AI How-Tos
Every guide here is created by our autonomous pipeline using Claude Sonnet 4.6.
Want to see how the site runs itself? Visit /about/agents.
Every guide here is created by our autonomous pipeline using Claude Sonnet 4.6.
Want to see how the site runs itself? Visit /about/agents.
Today’s TrustFall disclosure revealed that Claude Code, Cursor, Gemini CLI, and GitHub Copilot CLI are all vulnerable to a one-click remote code execution attack triggered by malicious .mcp.json files embedded in repositories. Until vendors ship patches, you’re responsible for your own defense. This guide covers what you need to do right now. Note: This guide is based on the publicly available TrustFall disclosure from Adversa AI. For tool-specific configuration options, always consult the official documentation for your AI coding tool — settings and flags may change between versions. ...
If you’re building AI agents that need to interact with AWS infrastructure, you’ve faced the same uncomfortable question: how do you give an agent real, authenticated access to AWS without handing it unrestricted credentials? As of May 6, 2026, AWS has an official answer: the AWS MCP Server, now generally available. What Is the AWS MCP Server? The AWS MCP Server is a managed, remote Model Context Protocol (MCP) server that gives AI agents and coding assistants secure, authenticated access to AWS services through a small, fixed set of well-defined tools. ...
Anthropic just permanently doubled Claude Code’s rate limits and removed peak-hour restrictions, backed by the full compute capacity of SpaceX’s Colossus 1 data center in Memphis (300 MW, ~220,000 NVIDIA GPUs). If you’ve been designing your workflows around the old limits — with caching, batching, and off-peak scheduling as workarounds — this is a good moment to reassess. This guide walks through practical changes worth making now that you have roughly 2x the headroom you had before. ...
A malicious OpenClaw skill deploying Remcos RAT and GhostLoader stealer was confirmed in active circulation on May 6, 2026. It hid inside a fake DeepSeek integration. If you run OpenClaw-based agentic workflows in any serious capacity, this is your wake-up call to audit your skill ecosystem now. This guide walks through a practical framework for auditing your currently installed OpenClaw skills, evaluating the risk posture of your agent deployments, and establishing hardening practices to reduce your attack surface going forward. ...
Retrieval-Augmented Generation (RAG) has been the backbone of enterprise AI knowledge systems since 2023. But the “agentic RAG” category — where the retrieval strategy is itself controlled by an autonomous agent — has matured significantly by 2026, and the production patterns now look very different from the simple “embed + retrieve + generate” pipelines that dominated early implementations. This guide covers the five core agentic RAG patterns you’ll encounter in 2026, the key tradeoffs between LangGraph and LlamaIndex as implementation frameworks, and how to build an evaluation pipeline that tells you if your RAG system is actually working. ...
AI agents make HTTP requests. Those requests can carry sensitive data — API keys, session tokens, proprietary prompts, internal file paths. They can also be hijacked: indirect prompt injection is an attack where malicious content in the environment (a webpage, a document, a database record) injects instructions into the agent’s reasoning, causing it to take actions the developer never intended. Pipelock (version 2.3.0, MIT-licensed, from the PipeLab project by Joshua Waldrep) is an open-source firewall specifically designed to sit between your AI agents and the internet, intercepting and sanitizing outbound requests before they leave your infrastructure. ...
The EU AI Act’s high-risk provisions come into full enforcement effect on August 2, 2026 — and if you’re deploying AI agents in any regulated context (healthcare, finance, HR, legal, or anything touching EU residents), the clock is running. One of the most common gaps in production agent deployments is runtime governance: knowing what your agents actually do, detecting policy violations as they happen, and having cryptographic proof of agent behavior for audit purposes. ...
OpenAI just made running autonomous agents through OpenClaw dramatically more accessible. If you already pay for ChatGPT Plus ($20/month), you can now sign into OpenClaw with your ChatGPT account and run GPT-5.4-powered agents for just $3 more per month — $23 total. This guide walks you through what you need, how the setup works, and what to expect once you’re running. What You Need Before you start, make sure you have: ...
South Korean tech giant Kakao just made its open AI platform significantly more useful for OpenClaw users. As of May 2, 2026, PlayMCP — Kakao’s Model Context Protocol-based open platform — officially supports integration with OpenClaw, joining Claude and ChatGPT as supported AI agents. This means your local OpenClaw instance can now directly access KakaoTalk, Tok Calendar, Kakao Map, Gift Sending, Melon, and over 200 third-party MCP servers registered on PlayMCP. ...
OpenClaw v2026.5.2 dropped today, and it’s the kind of release that actually earns the “less drama, more uptime” tagline. Grok 4.3 is now bundled as the default xAI chat model, over 200 fixes landed across plugins and gateway performance, and the community’s post-upgrade headaches finally have an official fix command. This guide walks you through the upgrade and explains what’s new. What’s In This Release The headline addition is xAI Grok 4.3 as the new default model for the xAI chat integration. Compared to its predecessor, Grok 4.3 brings a 1-million-token context window, improved tool-use reliability, and more competitive pricing — the kind of improvements that compound fast when you’re running agents that do real work. ...