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Harness, loop and graph could be the missing layers between AI models and agents that actually work.
Same model, same prompt, completely different results.
In this article, I show you how to build all three layers.
Whitemon retweeted
this harness engineering paper is f*cking insane
it's the exact 3-agent setup anthropic used to turn a one-line idea into a working app instead of a broken demo.
3 agents, 3 files, one loop that doesn't stop until the app actually works, all on one page.
set it up tonight and your agent ships features that work on the first click, instead of "done" apps that break the moment you touch them.
the crazy part is everyone lets the same agent build its work and grade it, while the fix is a second agent whose only job is to say no.
full breakdown in the harness guide below.
this harness engineering paper is f*cking insane
it's the exact 3-agent setup anthropic used to turn a one-line idea into a working app instead of a broken demo.
3 agents, 3 files, one loop that doesn't stop until the app actually works, all on one page.
set it up tonight and your agent ships features that work on the first click, instead of "done" apps that break the moment you touch them.
the crazy part is everyone lets the same agent build its work and grade it, while the fix is a second agent whose only job is to say no.
full breakdown in the harness guide below.
This is f*cking insane. Anthropic engineer:
"90% of our engineers were already running self-improving loops
Now everyone is building agentic graphs"
"Prompting is basically over"
In 10 minutes flat, she builds her whole Claude Code system live, starting with nothing but an empty terminal
Agents → Loops → Graphs → Self-Improving Systems
Prompting was yesterday's workflow
Graph engineering is today's
This 10-minute video is worth more than most $1,000 agent engineering courses
Watch it today
Then save the full guide below before the rest catch up ↓
