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.
Real-world agentic AI at scale is rarer than the industry would have you believe. Most case studies describe pilots, proofs-of-concept, or deployments serving a few hundred internal users. Verizon Connect’s recently published AWS blog post is different: 100,000 enterprise users served daily, processing 500 million data points from 1.2 million vehicle subscriptions, with AI agents actively investigating anomalies in that data stream. This is a production benchmark worth studying. Here’s what the architecture looks like and what it teaches us about building agents for scale. ...
OpenClaw v2026.5.26 has landed as a stable release, and it’s not a minor bump. This update touches nearly every corner of the platform — from how quickly your Gateway spins up, to how you steer agents in real time via Discord, to a significant security hardening pass that closes several real attack vectors. If you’re running OpenClaw in production, this is an important upgrade. Here’s a practical walkthrough of what changed and how you can take advantage of each improvement. ...
The most technically interesting thing Google announced in the AI agent space this year wasn’t a new model capability, a better reasoning approach, or a cleverer prompting technique. It was a managed runtime with durable execution, persistent state, and built-in observability. In other words, it was infrastructure. And if you’ve tried to run AI agents in production, you understand immediately why that’s the news that matters. The New Stack’s analysis of Google’s managed agent runtime debut puts it well: the most important AI agent feature is now the most boring one. That framing deserves unpacking. ...
AI Has Slashed Coding Time in 2026, But It’s Sacrificed Software Stability The data is in, and it’s uncomfortable. AI coding tools are making individual developers faster — sometimes dramatically so — but multiple large-scale research studies now show that the same tools are eroding software quality, increasing technical debt, and reducing long-term stability at the team and organizational level. This isn’t a theoretical concern. It’s measured. And engineering leaders need to start treating it as a governance problem, not just a tooling preference. ...
Anthropic Releases Free Security Plugin for Claude Code Terminal to Detect Vulnerabilities Anthropic has launched a security-guidance plugin for its Claude Code terminal tool that autonomously reviews code edits, model outputs, and commits in real time, aiming to catch vulnerabilities before they reach production. It’s a meaningful step toward making AI coding tools security-aware by default — not just productivity-focused. Here’s what the plugin does, what developers should understand about the “free” claim in the headline, and how to think about integrating this kind of real-time security review into your workflow. ...
Copilot Studio Gets Smarter Agents, Voice, and Workflow Overhaul: What’s New in May 2026 Microsoft just dropped a major update to Copilot Studio, its low-code platform for building AI assistants and autonomous agents — and it’s one of the more consequential enterprise AI releases of the year. The May 2026 wave doesn’t just add features; it fundamentally shifts what Copilot Studio is capable of doing. If you’ve been building with Copilot Studio, here’s what changed, what’s now generally available, and what it means for your agentic workflows. ...
LangGraph 1.2.0 (released May 2026, with the 1.2.2 patch landing May 26) introduces three significant features for teams running production agents: DeltaChannel for leaner checkpoints, per-node timeouts for fault tolerance, and Streaming API v3 for cleaner event consumption. If you’re running long-lived agents or agentic pipelines at any meaningful scale, these changes are worth understanding. This article walks through each feature, what problem it solves, and what you need to know before adopting it. ...
A security researcher going by “haussner” published a detailed writeup on May 24, 2026 documenting a chilling attack chain: for just $125 and a valid business email address, an attacker can create a Claude Team, invite targets using Anthropic’s own email system, and — if those targets use Claude Code — execute arbitrary code on their machines. The attacker’s name never appears. The victim only ever sees emails and popups from Anthropic. ...
OpenClaw v2026.5.22 dropped on May 24, 2026, and it’s a release worth digging into — not just for the headline 4,000× performance improvement on model listing, but for the quiet debut of the Meeting Notes plugin. This how-to walks through what the plugin does, where to get it, and how to wire up Discord voice as your first live source. What’s New in v2026.5.22 Before we get into setup, a quick overview of what this release actually delivers: ...
Choosing an AI agent framework for production used to be a simpler question. In 2024, OpenClaw was the clear answer for most teams. Today, the conversation is more nuanced. Hermes Agent v0.14.0 has shipped capabilities that directly address OpenClaw’s historical advantages, and the two frameworks are converging on some features while diverging on architecture philosophy. This isn’t a recommendation to switch. It’s a practical guide to understanding where each framework excels, where each struggles, and how to make the right call for your specific workload. ...