A lot of major names in AI have announced a new open standard called Agent Plugins. The idea is refreshingly simple. It gives developers one portable format for bundling agent skills and MCP servers, so the same plugin can work across multiple AI coding agents. That matters because AI agent workflows are becoming fragmented. A … Read more
An unprecedented AI cybersecurity incident has made one thing very clear: long-running agents can create risks far beyond the task they were originally given. OpenAI was carrying out an internal cyber-capabilities evaluation. Its models had their usual safety refusals switched off, were placed in an isolated environment with no intended internet access, and were given … Read more
If I’m building an AI system, using Claude Code, Codex, or working with an agent such as Hermes, I don’t want to rely on prompting alone. Prompts matter, but the workflow shape matters just as much. That’s where agentic design patterns come in. I think of each pattern as a small workflow graph. It defines … Read more
Loop engineering has become one of those AI terms that can mean almost anything, depending on who is using it. Some people present it as the biggest shift in AI development. Others dismiss it as while loops and cron jobs with a new label. I think both sides have a point. Loops are not new. … Read more
A few weeks ago, Anthropic published a 36 page playbook on securing AI agents like Claude Code. The timing matters. On one side, I can now give agents far more access than even a year ago. They can read files, call tools, connect to APIs, send messages, write code, and make decisions without stopping every … Read more
Every new model release brings the same promise. Better reasoning. Better synthesis. Better scores on the benchmarks. And yet, if you build knowledge agents for real work, the failures that matter most still keep showing up. I see this especially in retrieval-based systems. The model pulls in source material, then produces something that looks polished … Read more
One of the biggest problems with AI agents shows up right after they seem to be working. An agent answers well. It reasons well enough. It picks tools. It performs actions. Then one day it sends the wrong email, charges the wrong customer, deletes the wrong file, or writes bad data into production. By the … Read more
Anthropic recently announced a feature for managed agents called Dreaming. OpenClaw released something very similar before that, with the same name. That timing matters less than the pattern itself, because this feature points to a much bigger shift in agent design. Agents are moving beyond simple request and response systems. The new goal is improvement … Read more
OpenAI recently published an open source orchestration spec called Symphony. On the surface, it looks like a practical system for scaling autonomous coding agents. But the deeper value isn’t just the tool itself. It’s the architecture lesson sitting underneath it. The big shift is simple. As coding agents get better, the human stops being the … Read more
Three of the biggest names in AI all made moves in the agent space within a single week. Anthropic launched Claude Managed Agents. LangChain answered with Deep Agents Deploy. Then OpenAI shipped the next evolution of its Agents SDK. At first glance, these looked like three separate announcements. They weren’t. They were three different answers … Read more
Anthropic recently published a deep dive on harness design for long-running AI agents. The topic sounds narrow, but the lessons apply to almost any specialized agent system I build, from contract review to compliance audits, risk analysis, content pipelines, and impact assessments. The core idea is simple but easy to miss: an AI model alone … Read more
In 2026, a lot of people expect AI to finally deliver real work and real business value. Not “AI wrote a blog post.” Not “AI drafted a few social messages.” I’m talking about AI systems that can run complex, multi-stage workflows that normally involve humans, spreadsheets, approvals, and a lot of domain knowledge. Examples include … Read more
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