Technopreneur & mechatronics engineer (C++). Developer (Django, React, Next js,WordPress). Data scientist (Python, R, Excel, PI). Calm & intelligent son of God.
Google engineer:
"delete your IDE, you don't need it anymore. in 2026 if you are still not building AI agents, it's crazy how bad you are
At Google, 85% of engineers are running agentic "loops" and graphs, that's how the engineering setup will look"
in a 25-minute session, a Google engineer with 30 years of experience reveals how AI engineering will look like in 2026
Worth more than 10 paid agentic courses
Watch it today, then read how to run a self-improving agentic system in the article below
Don't spend 2 years learning how Claude and ChatGPT actually work.
Stanford just dropped a 2.5 hour course on building an LLM from scratch.
0:00 - LLM tokenization
25:03 - how LLMs decode a prompt
34:44 - the training pipeline
1:14:47 - the architecture, from scratch
look at the first one, because it is the section everyone skips.
Text → Tokens → IDs → Vectors
by the time the model sees your prompt it is not text. it is integers, split where you would not expect.
that is why renaming a tool changes which one gets called, and why one character moves the whole result.
reading your prompt is the old mental model. reading what was sent is the new one.
Anthropic pays $750,000 a year to engineers who understand this layer.
watch it today, then read the eval setup below.
Built a fully hands-free biometric voting kiosk for Nigeria.
No keyboard. No mouse. Just face + hand.
Walk up, pick language, look at the camera, point at your party. Offline.
#CivicTech#ComputerVision#Nigeria#BuildInPublic
Google just released free 1-hour course on building agentic knowledge Graphs from 0% to 100%:
10% → 4:01 - how to build a GraphRAG agent
30% → 15:00 - Graph Engineering explanation
55% → 30:00 - Agentic search Engineering
80% → 35:48 - Graph Engineering practice
100% → 47:06 - self-improving agents in graphs
this free Google course mass replaces a $500 graph engineering bootcamp - learn it in 60 min to 100%
watch it today - then read the full graph playbook in the article below ↓
A kindergarten teacher figured out the secret to making complex ideas simple. I use this same framework in all of my presentations. Here’s how it works:
🔥 Conocí a un tipo que gana 1.2 millones de dólares al año solo escribiendo prompts.
Le pregunté cuál era su truco.
Me mandó un curso de Anthropic de solo 2 horas.
Lo terminé anoche… y a la mitad me quedé congelado
Me di cuenta de que llevo meses usando Claude mal.
No es que lo use poco. Es que lo estaba usando como el 95% de la gente.
Si usas Claude aunque sea de vez en cuando,
guarda este tweet ahora.
En serio. Te va a cambiar la forma en que hablas con la IA.
A billionaire trader spent 40 years trying to delete this documentary that shows him making $100 million in a single afternoon.
Bookmark & watch today, no matter what.
ANTHROPIC JUST LOST 20,000 CLAUDE CODE USERS TO ONE GITHUB REPO
25,000 developers.
41k GitHub stars.
6,700 forks.
25 free models.
COMPLETELY FREE.
bookmark this before everyone finds it.
your Claude Code bill is about to look very different.
it reroutes Claude Code to DeepSeek, Kimi and 8 other models.
same CLI.
same workflow.
different model underneath.
5-minute setup.
hundreds of dollars saved every month.
no noticeable downgrade on everyday coding.
swap the endpoint once.
your wallet will notice.
Link to repo: https://t.co/avYbVpYwsQ
He is 19 years old and already teaching an AI lecture at Stanford:
00:05 - 10% of people use AI - the other 90% work for them
08:34 - Graph Engineering is what you actually need
19:47 - Claude 10x faster and cheaper without losing quality
After this lecture I understood why I was still in that 90% and never went back.
Save it and watch - read the article below to join the 10%.
Google just dropped a 1-hour course on agentic engineering from scratch:
00:00 – How to build your first AI agent
08:24 – Build agent memory (short, persistent, long)
28:34 – Agentic loops, long-running AI agents
40:04 – How to build MCP (MCP vs API)
1:00:22 – Multi-agentic systems
This 1-hour watch will replace 10 paid agentic courses on the internet.
Bookmark this. Watch this weekend.
One developer broke Claude Code into 6 levels.
Most people miss the point. They think the progression is about writing better prompts. It isn’t.
It’s about a career change. The first levels teach you how to use Claude. The last levels teach you how to organize Claude.
Look at what actually changes as you move through the six levels. You stop writing better prompts. You start designing better systems.
Planning replaces prompting. Context replaces conversations. Workflows replace one-off chats. Multiple sessions replace one assistant.
The hard part is no longer intelligence. It’s coordination. By the final level, Claude isn’t your tool anymore. It’s your workforce.
One detail gives away what’s really happening. Experienced users stop trusting a long context long before it reaches its limit. They constantly decide what stays, what gets summarized, and what gets thrown away.
That’s not prompt engineering. That’s management.
Great engineering managers don’t make people smarter. They make sure the right people have the right context at the right time. The exact same shift is happening with AI.
The next generation of AI experts won’t be the people who write the best prompts. They’ll be the people who know how to coordinate intelligence.