My friend makes around $1.1 million a year as an Anthropic engineer
I asked him how he got so good at prompting
He sent me a video that was never meant to be released
The exact prompting playbook their core team actually uses
You probably won't find a better resource on prompting than this video
I watched it last night
Halfway through, I realized I'd been using Claude wrong for the past 18 months
Watch it and save it
Google Brain founder Andrew Ng:
"Prompting will die in 7 months
Harnesses are what's replacing it"
Prompts → Agents → Harness → Loops → Graphs → Self-Improving Systems
In just 97 minutes, Andrew shows how to build a harness that lets agents plan, execute, verify, and improve without you
A harness → Loads the right context → Routes each task → Checks the output → Triggers the next step
Most people are still perfecting prompts while the real work is already moving into the harness
Watch it today
Then save the full harness engineering guide below ↓
Anthropic engineer:
"At Anthropic, we don't write prompts anymore
We build loops"
In just 42 minutes, she shows how the Claude team builds loops that can prompt themselves
Prompts → Agents → Loops → Self-Improving Systems
If this were a $400 course, people would probably call it one of the best agent engineering courses of the year
It's completely free
Watch it today
Then use the step-by-step guide below to build your first loop
Harness Engineering could be the missing layer between smart models and reliable AI agents.
It gives agents context, safe tools, durable state, verification and recovery.
In this article, I show you how. https://t.co/RwgSSyxHUx
Andrej Karpathy spent 8 years working at OpenAI and Tesla
Last week, he compressed everything he knows into one free 2-hour lecture
Agents → Loops → Harness → Self-Improving Systems
People spend $25K on bootcamps that teach less than this
This 2-hour lecture is worth more than most paid AI engineering courses
You probably don't have two hours to watch it right now
Don't let it get buried in your feed
Bookmark it and watch later
Then read the full article below