Become a real AI engineer.
with Max Techera · CTO & AI Development Educator

What's inside, all free
- Set up Claude Code in 5 minTerminal-first, zero lock-in
- Free video lessons + guidesMCP servers, AI agents, real workflows
- Personalized AI roadmapKnow exactly what to learn next
Engineering fundamentals are your biggest advantage.
Everyone thinks AI rewrote the rules of software. That code is cheap now. That engineering, as a profession, is over.
Agents like Claude Code build faster than any human ever has. But without direction, they leave the codebase worse. And the worse the codebase, the worse the AI performs. A vicious circle.
Code isn't cheap. Bad code has never been as expensive as it is today. Whoever can design systems agents understand takes this new era.
Fundamentals aren't obsolete: they matter more than ever. Here I teach you to direct AI with an engineer's judgement. For anyone who cares about the code they build.
Start here
Level up with real engineering
Claude Code Mastery
Master Claude Code from zero (worth $197): YOLO mode, subagents, MCP servers and the system I use as a CTO.

Cursor IDE Mastery
Master Cursor, the AI editor replacing VS Code: Composer, contextual chat and multi-file editing.

MCP Servers Deep-Dive
Build MCP Servers and connect Claude to any API or database. The protocol changing how we use AI.
Advanced
Want to build with AI?

AI Agents from Scratch
Build agents that reason, plan and execute autonomously: LangGraph, ReAct, multi-agents and production patterns.

Agent Loops & Loop Engineering
What agent loops really are and why the harness is what matters: the clear guide with the real costs.

10X AI Workshop
Join a live workshop and learn hands-on how to 10x your development with AI tools.
Get started
New to AI?

Building with Claude Code
How I use AI to accelerate development and what I've learned about effective AI collaboration.

Is Claude Code free?
Claude Code isn't free, but there are affordable ways to use it. Here's what each plan costs and if it's worth it.

From Uruguay to Silicon Valley CTO
My journey from a developer in Uruguay to CTO in Silicon Valley, and why I teach the patterns that changed everything.
From the blog
Latest writing

What Is the CLAUDE.md File? Guide + Examples (2026)
What the CLAUDE.md file is, what it's for, and how to create it with /init. The persistent memory that makes Claude Code remember your project between sessions.

Claude Code Plan Mode 2026: What It Is & How to Use It
What Plan Mode is in Claude Code, how to enable it with Shift+Tab, and when to use it. The practical guide from a CTO who plans before executing, every day.

Agent Loops & Loop Engineering 2026: The Harness Underneath
What agent loops and loop engineering really are, why the harness is what matters, the real costs, and how to run one without burning your bill.
Why I Built Hushdrop: A Share Button for Your AI Agents
AI agents make reports, dashboards, and whole little apps all day, then sharing them sucks. Hushdrop is the open-source way to turn any artifact into a private, branded link on your own domain, from any agent.
Still Building
761 contributions in all of 2025.
896 in 5 weeks of 2026.
Since adopting Claude Code, my building pace accelerated 6x. This is my real GitHub.


“The tool changed. The results speak.”
“This course changed the way I work. I now use Claude Code every single day and my productivity has tripled.”
Diego Costa
Senior Software Engineer
Hi, I'm Max Techera.
I founded AnswerAI and led engineering at LastRev. In over a decade building software, my systems reached 10M+ users and 20,000+ enterprise pages for Oracle, Dropbox and Coalition.
I bet on React Native at v0.4, when almost no one did: Top Nine reached #1 on the App Store. Later I trained 1,000+ developers at ORT University. I adopted GraphQL, Next.js and ChatGPT early, now, Claude Code.
My mission is to make AI-assisted engineering accessible: to teach you how to direct AI with real engineering judgment, not to copy prompts.

The AI coding workflows I actually use, every week.
Short updates on skills, handoffs, testing and code review, the parts of AI-assisted engineering that survive contact with real code.
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