Introducing Kilo College: Because "Vibe Coding" Won't Ship Production Code

Professional AI development skills for developers who ship to production, not just demos.

There’s a gap in AI education nobody talks about.

YouTube teaches vibe coding. Twitter shares prompting hacks. Even AI coding companies offer “101” tutorials aimed at folks just starting their AI journey. Building an app with Claude in a weekend is genuinely fun—I’ve done it. You probably have too.

But here’s the uncomfortable truth: 90% of developers now use AI at work, yet only 13% of companies have a plan for doing it well.

That gap—individual experimentation vs. organizational adoption—is where things get messy. Fast.

The Problem Nobody’s Solving

The same pattern keeps emerging when I talk to engineering teams:

A senior engineer discovers prompting techniques. Shares them in Slack. Teammates try them—results vary wildly. Someone pastes sensitive code into a public AI interface. Security panics. Management panics. The initiative stalls—or worse, developers keep using AI in the shadows without standards or guardrails.

“Vibe coding” tutorials can’t help here. They assume greenfield projects with no existing codebase, no compliance requirements, no team coordination, and no consequences if something breaks.

Real engineering work means:

• Integrating AI into codebases with years of accumulated patterns

• Working with teammates at different skill levels and AI comfort

• Navigating security policies, rate limits, and cost management—while still shipping on time

There’s no YouTube tutorial for that.

Introducing Kilo College

Today we’re launching Kilo College—a learning platform built specifically for professional developers who need to move beyond experimentation and into real-world AI-assisted development.

This isn’t another collection of “watch me code with AI” videos. It’s a structured curriculum designed to help individual developers and entire teams build the skills that actually matter for production work.

We’re launching with two courses that address different parts of the journey:

Kilo 101: Introduction to AI-Assisted Coding

For: Individual developers getting started with AI coding tools
Status: Available now, free to enroll

This is the foundation. If you’re using AI coding assistants but feel like you’re scratching the surface—or can’t figure out why the same prompt gives wildly different results—start here.

What you’ll learn:

• How AI models actually work (the parts that matter for coding)

• How to think about context windows

• How to manage prompts effectively

• How to avoid traps that turn AI from productivity multiplier into time sink

It’s free because these fundamentals should be accessible to everyone. Enroll here.

Learn Agentic Engineering

For: Professional developers and engineering teams
Status: Pre-order available now, launches January 2026
Price: $250

This is where things get serious.

Agentic engineering means working with AI agents as collaborative team members—not tools you occasionally prompt. It’s about orchestrating multiple agents, leveraging context engineering across complex tasks, and integrating AI into team workflows without creating chaos.

The mental model: AI agents are eager, enthusiastic junior developers who need direction, context, and clear expectations. Senior engineers who work well with junior teammates will find this immediately useful. Those who don’t... this course helps with that too.

Topics include:

• Professional prompting strategies

• Context engineering

• Managing parallel agents

• Security and compliance considerations

• AI-assisted architecture and planning

• Organizational change management for AI adoption

I’m teaching this one, drawing on everything we’ve learned building Kilo Code and helping teams adopt AI effectively. Pre-order now to lock in your spot.

Why We Built This

When we raised our seed round, we talked a lot about “Kilo Speed“—AI should accelerate teams, not create friction. We built parallel agents, managed indexing, and transparent pricing to remove obstacles.

But tools alone aren’t enough.

The fastest teams don’t just have better tools—they have better skills. They understand how AI models work. They’ve built workflows that leverage AI strengths while compensating for weaknesses. They scale AI adoption without security nightmares or culture wars.

Kilo College helps more teams get there.

What This Isn’t

We’re not dismissing vibe coding or casual AI experimentation—that’s how most of us got interested in AI coding. Sometimes a quick prototype is exactly what you need.

We’re not claiming a course will magically transform your practice. These skills require practice and real-world application. We provide structure; you provide effort.

And we’re not suggesting AI will replace developers. (If you’ve read my piece on what every developer must know about AI models, you know my position: these tools are powerful pattern matchers, not reasoning engines. They need skilled humans to direct them.)

Getting Started

• Individual developers: Start with Kilo 101. Free, structured, solid foundation.

• Team leaders: Check out Learn Agentic Engineering and reach out about group discounts or getting your team certified. Standardizing how your team works with AI is high-leverage work.

• Not sure? Browse the Kilo College catalog and pick what matches where you are.

Bottom line: The companies that win will amplify their developers with AI effectively—not treat it as a magic wand or passing fad. Kilo College is how we get there.

See you in class.

Have questions about Kilo College or team enrollment? Contact us or drop a comment below.