MSPs Enter the Loop: AppDev Made Even More Accessible
The Loop is what makes an AI Agent an AI Agent and shows how analytical and intelligent artificial intelligence can be. Now expand your MSP practice by entering the loop!
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“I don’t prompt Claude anymore. I have loops that are running. They’re the ones prompting Claude and figuring out what to do. My job is to write loops.”
- Boris Cherny, June 2, 2026
“You shouldn’t be prompting coding agents anymore. You should be designing loops that prompt your agents.”
- @steipete, June 7, 2026
What are these guys talking about?
Who ARE these guys?
Why should an MSP care?
Boris Cherny developed Claude Code and Cowork and works at Anthropic.
Peter Steinberger created OpenClaw and now works at OpenAI.
Few guys know more about agentic AI than these guys. If you’re an MSP intending to multiply your fortune with AI these are two great guys to follow.
And these guys are talking about the Loop.
What Is the Loop?
When you first started working with Generative AI (GenAI) you asked the chatbot questions and it provided answers and that’s where the entire process ended.
What makes an AI Agent “agentic” beyond “generative” is the loop, a fundamental execution pattern that makes an AI agent an agent rather than a chatbot. Every agent, regardless of framework, runs on the same basic cycle:
Perceive → Reason → Plan → Act → Observe → Repeat
In this process, the agent intakes its environment, reasons about what to do next, selects a tool or action, executes it, receives feedback from the result, and begins again. It keeps looping until the task is complete or until it otherwise decides it’s done. Note that it doesn’t return to the human operator for feedback. Rather, it evaluates the result of its own actions to determine next steps.
It can be safely said that every AI agent operates by moving around a loop. This loop is what gives agents autonomy, reliability, and the ability to recover from failure. Agentic AI, powered by the loop, is contextual, continuous, and environment-aware.
Lilian Weng’s formula captures the architecture simply: Agent = LLM + Memory + Planning + Tool Use. The agent loop is the runtime that ties those four components together.
