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Learn to build with AI

Vibe coding, prompt engineering, agent orchestration, and curated insights from the best books and talks. No fluff — just what works.

Courses

Vibe Coding

Popular

Learn how to build full-stack apps by talking to AI. No boilerplate, no setup — just describe the vibe and ship.

What Is Vibe Coding?

The shift from writing every line to directing AI. Why it works, when it doesn't, and how to get started.

5 min

Your First Vibe-Coded App

Build a working dashboard by describing what you want. Learn the prompt-iterate-refine loop.

12 min

Prompt Architecture

Structure your prompts like a senior engineer structures code. Context, constraints, examples, output format.

8 min

Debugging with AI

When AI-generated code breaks, how to diagnose and fix without rewriting everything.

10 min

Multi-File Projects

Managing large codebases with AI. How to keep context, avoid drift, and maintain consistency across files.

15 min

From Prototype to Production

Vibe coding gets you to 80% fast. Learn how to close the last 20% — error handling, edge cases, security.

10 min

Building AI Agents

Advanced

Design, deploy, and orchestrate AI agents that work together. The architecture behind GWC's 206-agent workforce.

Agents vs. Chatbots

A chatbot answers questions. An agent takes action. Understanding the fundamental difference.

6 min

Agent Anatomy

Every agent has: a role, tools, memory, and a decision loop. How these pieces fit together.

10 min

Tool Use & Function Calling

Giving agents the ability to read files, call APIs, query databases, and execute code safely.

12 min

Multi-Agent Orchestration

When one agent isn't enough. Routing, delegation, and the supervisor pattern.

15 min

Agent-to-Agent Protocol

How agents from different systems can discover and collaborate with each other.

8 min

Reliability & Guardrails

Agents will make mistakes. Circuit breakers, human-in-the-loop, output validation, and fallback chains.

10 min

Prompt Engineering

Essential

The skill that makes everything else work. Write prompts that produce consistent, high-quality output from any model.

The Anatomy of a Good Prompt

Role, context, task, format, constraints. The 5 components that turn vague requests into precise output.

6 min

Few-Shot & Chain of Thought

Show the AI what you want with examples. Use step-by-step reasoning for complex tasks.

8 min

System Prompts & Personas

Set the AI's personality, expertise, and constraints before the conversation starts.

7 min

Structured Output

Getting JSON, markdown, code, or any structured format reliably.

10 min

Model-Specific Techniques

Each model thinks differently. Optimize prompts per model.

12 min

Prompt Testing & Iteration

Treat prompts like code: version, test, measure.

8 min

AI for Business

Business

Cut through the hype. Learn which AI applications deliver ROI and how to implement them without a data science team.

Where AI Actually Works

Real use cases with real numbers.

8 min

Build vs. Buy vs. Orchestrate

When to use off-the-shelf AI, fine-tune, or orchestrate.

10 min

Cost Management

Token pricing, model selection, caching strategies.

7 min

AI Team Structure

How small teams use AI platforms to punch above their weight.

8 min

Security & Compliance

Data privacy, prompt injection, output filtering.

10 min

Measuring AI Impact

How to measure time saved, quality improved, revenue generated.

6 min

From the Bookshelf

Key insights from essential books — reframed for the AI era.

Clean Code

Robert C. Martin

Code is read 10x more than it's written. With AI generating code, readability matters even more — you're now the reviewer, not the writer.

Review AI-generated code like you'd review a junior developer's PR. Rename variables, extract functions, delete dead code.

The Pragmatic Programmer

David Thomas & Andrew Hunt

Don't repeat yourself (DRY) and keep things simple. AI tends to over-engineer. Your job is to simplify what it produces.

After AI generates a solution, ask: can this be simpler? Delete abstractions you don't need yet.

Zero to One

Peter Thiel

Competition destroys profits. Build something 10x better, not 10% better. AI lets tiny teams build what used to require 50 engineers.

Use AI to move faster than competitors can react. Ship in weeks what they plan in quarters.

Thinking, Fast and Slow

Daniel Kahneman

System 1 (fast, intuitive) and System 2 (slow, analytical). AI is System 1 on steroids — fast but sometimes wrong. You provide System 2.

Trust AI for first drafts and pattern matching. Apply critical thinking for architecture decisions and edge cases.

The Design of Everyday Things

Don Norman

Good design is invisible. Users shouldn't think about the interface. AI-generated UIs often look right but feel wrong.

After AI generates a UI, test it yourself. Click every button. Fill every form. The gaps become obvious.

Atomic Habits

James Clear

1% better every day compounds. Small improvements to your AI workflow — better prompts, saved templates, keyboard shortcuts — add up fast.

Build a prompt library. Save what works. Reuse and refine. Your AI productivity compounds like interest.

Staff Engineer

Will Larson

Senior engineers solve problems. Staff engineers choose which problems to solve. AI handles the solving — you need to focus on the choosing.

Spend more time on architecture and less on implementation. AI is your implementation layer.

The Lean Startup

Eric Ries

Build-measure-learn, as fast as possible. AI collapses the build phase from weeks to hours. Your bottleneck is now measuring and learning.

Ship MVPs in days with AI. Talk to users sooner. Iterate on real feedback instead of assumptions.

From the Stage

Timeless ideas from talks and essays that shape how we think about building with AI.

Talk

Software 2.0Andrej Karpathy

Neural networks are eating software. Vibe coding sits at the intersection of Software 1.0 and 2.0.

Learn to specify behavior, not implement it. The future developer describes what, not how.

TED

Start With WhySimon Sinek

People don't buy what you do. They buy why you do it. AI tools are commodities — the mission differentiates.

When building with AI, always start from the user's problem. The technology is the how, not the why.

TED

On Good Taste in CodeLinus Torvalds

Good taste means recognizing elegant solutions. AI generates functional code. Taste means knowing which output to keep.

Study great codebases. Build taste. AI amplifies whatever taste you already have — good or bad.

Essay

The Intelligence AgeSam Altman

AI will be the most transformative technology in history. The gains go to those who learn to use it earliest.

Start building with AI today. The learning curve is the moat. Early adopters compound their advantage.

TED

AI as the Ultimate TutorSal Khan

AI can provide 1-on-1 tutoring at scale. Every developer can now have a senior mentor available 24/7.

Use AI to learn, not just to produce. Ask it to explain its code. Ask why, not just what.

Talk

Simple Made EasyRich Hickey

Simple and easy are different. AI makes things easy. Your job is to keep them simple.

When AI gives you a working but complex solution, push back. Ask for simpler alternatives.

Ready to build?

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