One provider fails.
Your agent keeps moving.
One API.
80+ frontier models.
Automatic failover.
You choose the model.
OpenGPU handles the route.
Pay with Stripe or $OGPU.
Don't waste 2 years learning to use LLMs like Claude & ChatGPT!
Andrej Karpathy dropped a conversation on the evolution of programming and AI, moving from "vibe coding" to the far more rigorous discipline of agentic engineering.
3:44 — From Programming to Prompting
7:37 — Software 3.0 & Agentic Workflows
13:39 — Jagged Intelligence & Verifiability
25:17 — The Shift to Agentic Engineering
29:49 — Why you can outsource thinking but never understanding
If you watch this end to end, you'll walk away with a sharper mental model of where software is headed than most people building with AI every day.
Save it. Carve out time today, no excuses.
Then hit the article below.
GOOGLE QUIETLY SHIPPED 15 FREE AI TOOLS AND ALMOST NOBODY IS USING THEM
No subscription. No waitlist. No API key. Just a browser tab.
Everyone knows Gemini. Almost nobody knows what's sitting next to it.
Here's the full stack:
Project Genie — interactive worlds and characters that generate in real time
Stitch — text prompt to clean mobile and web UI
Vids — script to final cut, edited by AI
Flow — cinematic clips with consistent characters
Doppl — virtual fitting room from your own photos
Opal — shareable AI mini-apps, zero code
Antigravity — agent-first IDE that plans, writes and debugs
NotebookLM — your documents into summaries and audio podcasts
Whisk — images as prompts instead of text
AI Studio — prototype straight on the newest Gemini models
Firebase Studio — idea to deployed web app in minutes
Disco — turns your open tabs into task-specific mini apps
Food Mood — fuses two cuisines into one recipe
Pomelli — learns your brand from your site, then ships campaign assets
Learn Your Way — textbooks rebuilt as personalized study guides
That's a design team, a video studio, a dev shop and a research assistant. Combined cost: $0.
The bottleneck was never access. It's knowing what already exists.
Which one are you opening first?
SOMEONE OPEN-SOURCED AN ENTIRE ARSENAL FOR CLAUDE. AND MOST PEOPLE STILL USE IT LIKE A CHATBOT.
One GitHub repo. Free.
Inside: custom slash commands, ready-made skills, subagent configurations, hooks, and CLAUDE..md templates that other people already debugged for you.
Not tutorials. Not theory.
Working files you drop into your project and use in the next thirty seconds.
Here's what most people don't understand about Claude Code.
Out of the box, it's a strong model with no memory of how you work. Every session starts from zero. You re-explain your stack, your conventions, your rules.
Commands and skills fix that permanently. You configure once, and every future session already knows.
The craziest part?
The gap between an average Claude user and a power user isn't the model.
It's identical. Same weights. Same intelligence.
The difference is entirely in what you put around it — the commands, the skills, the context files.
And someone just gave that layer away for free.
While everyone's waiting for the next model to make them faster...
A repo that already exists would double their output today.
The model was never the bottleneck.
Your setup was.
Follow @Sancho_Wizard for more AI deep dives.
Don't forget to bookmark this post for later.
A BUILDER IN POLAND CREATED A SIMPLE AI WORKFLOW THAT NOW GENERATES MORE THAN $4,200 EVERY MONTH
NO AGENCY. NO LARGE TEAM. JUST CLAUDE, OBSIDIAN, AND A COLLECTION OF LOCAL STORAGE
Obsidian became the central hub for everything ideas, prompts, research, and proven workflows all stored in one searchable knowledge base
Claude handles writing, improves prompts, and creates content, while local storage keeps AI models, datasets, and project files private and always accessible without depending on cloud services
How it evolved:
Week 1: Built a structured knowledge base
Month 1: Automated the content creation workflow
Month 3: Released the first AI-powered products
Month 5: Reached a steady income of over $4,200 per month
The biggest advantage in AI today isn't having the most tools
It's creating a system that keeps getting smarter every day
The audience came later. The instinct came first. What began as a joke for a group chat showed Anwar Jibawi what can happen when even a small idea gets real effort.
Watch the full interview here: https://t.co/J9aXFBDwKr