Google just dropped a 1-hour breakdown of Graph Engineering — showing how to go from one AI agent to a system that runs 24/7.
00:00 — Understanding graph fundamentals
09:16 — Build your first AI agent
21:15 — The concept of Graph Engineering
41:03 — Putting Graph Engineering into practice
52:21 — Building self-improving graphs
It’s completely free and one of the most valuable resources for anyone looking to understand where AI agents are heading.
Prompts → Agents → Loops → Graphs
Most people will watch the first 9 minutes, build a basic agent, and call it a day.
But the final 20 minutes reveal the bigger picture.
Same model.
Same tokens.
A fundamentally different level of capability.
Watch it today.
x.com/Grow_withAI/st…
What happens when an AI system can write better code than the engineers building the next generation of AI systems?
Is that the beginning of AGI—or just the beginning of a much faster feedback loop?
#AGI#AI#AIAgents #MachineLearning
Google Brain founder Andrew Ng:
"Prompting will be dead in 6 months
Agent harnesses built with loops and graphs will replace it"
Agent → Harness → Feedback → Loops → Graphs → Self-Improving Systems
In this 1-hour Stanford lecture, he explains what the best engineers are building instead and how you can start today
Prompt → Run → Verify → Improve
The first 20 minutes teach what most $1,500 courses try to sell you
For free
Bookmark and watch it today
Then read the guide below on building an agent harness that improves itself
Andrej Karpathy spent 8 years at OpenAI and Tesla
Last week, he condensed everything he knows into one free 2-hour lecture
Agents → Loops → Harness → Self-Improving Systems
People pay $14K for bootcamps that teach less than this
This lecture beats most paid AI engineering courses
You probably don't have 2 hours right now
Don't let this disappear from your feed
Watch it
Then read the article below
Anthropic engineer (ex-Google):
"I spent 14 years at Google and built 24 reusable skills for agents that I can use with any AI model
So I stopped prompting my agents from scratch. The repo has already reached ~100K stars on GitHub"
In a 40-min masterclass, Addy Osmani showed exactly how he uses his skills (~100K stars on GitHub) for his 24/7 multi-agent system
His workflow and this workshop will replace 15 hours of other paid videos on agent engineering
Watch it today, copy the GitHub repo - then read below how to use these skills for graphs ↓
Anthropic engineer:
"99% of people use Claude Code like Google, and only 1% are running swarms of self-learning Claude agents
I'm running 100+ agents in a loop. I have Chief agent, PM agents - they manage the whole team"
in a 30-minute workshop, an Anthropic engineer revealed how to get max value from Claude Code at min. cost
this is worth more than another $500 vibe-coding course
watch today, then read how to build self-improving agentic systems with Fable in the article below
Anthropic engineer:
"90% of our engineers were already using self-improving loops
Now everyone is moving toward agentic graphs"
"Prompting is basically over"
In just 10 minutes, she builds her full Claude Code system live from a completely empty terminal
Agents → Loops → Graphs → Self-Improving Systems
Prompting was the old workflow
Graph engineering is the next one
This 10-minute breakdown is worth more than most $1,000 agent engineering courses
Watch it today
Then save the full guide below before everyone starts catching on ↓
This is the best 1 hour on graph engineering ever recorded, just released by Google how to go from a single agent to a full 24/7 system from scratch:
00:00 - what graphs actually are
09:16 - your first working agent
21:15 - graph engineering explained
41:03 - graph engineering in practice
52:21 - graphs that improve themselves
I've seen $500 courses that teach less than this video alone.
Watch it, then take it further with my step-by-step guide on graph engineering below.
RAG vs. Agents
Interview with Tanishq Singh.
This is a real interview question from a big tech company, asked to a candidate in their technical interview round. The video explains the answer in roughly 4 minutes.
00:00 Question - RAG vs Agents
00:35 Difference between RAG and Agents
01:45 What can RAG make tool calls
02:54 Agentic RAG
03:47 Bloopers :p
AI engineering program for software engineers: aiengg.dev
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