For those of you who've been following me on social media for a while, you've heard me say this over and over: building your own agent frameworks is a waste of time.
Stop doing it. Stop paying people to do it. Stop learning how to do it. (Unless you like local projects, that's fun)
Here's what it is in plain terms.
Managed Agents is a hosted service where Anthropic runs the entire agent infrastructure for you.
The loop that calls Claude, the sandbox where code runs, the context management, crash recovery, security, scaling.
All of it. You define what the agent should do (system prompt, tools, connections to your systems) and they handle the rest.
The key line from their own engineering team:
"Harnesses encode assumptions about what Claude can't do on its own. Those assumptions need to be frequently questioned because they go stale as models improve."
They gave a specific example.
They built a workaround into their harness because Sonnet 4.5 would quit tasks early when it sensed its context limit approaching. When they ran the same harness on Opus 4.5, the problem was gone.
The fix became dead weight. One model release made their own engineering work obsolete.
Now think about what that means for every startup and every freelancer building custom agent harnesses and selling them to clients.
Every assumption they baked into their code is a bet against the next model release.
And the frontier labs are shipping new models faster than anyone can maintain a harness.
This is the thesis.
Your value lives above whatever just got commoditized.
The infrastructure layer of agents just got commoditized. The thinking about what to build, why to build it, and how to structure the work around it did not.
That's what we teach here. That's why we focus on the 60/30/10 framework, on understanding which layer a problem belongs on, on prompt architecture and workflow design.
Because that knowledge compounds. It doesn't go stale with the next release. It gets more valuable.
The people in this community who've been doing the work are better positioned today than they were yesterday.
Not because the tools got easier (they did), but because you already understand why the tools exist and where they fit.
Worth reading the article above if you want to understand how Anthropic thinks about agent architecture. It maps cleanly to everything we've been teaching.