Build Path

Learn and Build

A practical build path for people moving from curiosity to shipping useful AI products.

01
Week 1

Start Vibe Coding

Don't just write code—direct it. Use Claude Code or Antigravity. The intuition from actual usage is worth more than any course.

Claude CodeAntigravity
02
Wk 2-3

Understand the full stack

Learn APIs, tokens, context windows, system prompts, and structured output. But also understand the SDLC: version control, hosting, CI/CD, databases. Use coding assistants to help you along — even send them screenshots when you're confused. That's how you learn fastest.

Anthropic APIVercel AI SDKGitHubClaude Code
03
Wk 3-5

Ship a web application

Start with a web app. The gap between 'works on my machine' and 'people use this' is where all the learning happens. Pick a real problem, build a Next.js or React app, deploy it, and put it in front of users.

Next.jsVercelDockerGitHub Actions
04
Month 2+

Go deeper: local models + data pipelines

Run models locally. Build ingestion pipelines. Connect real-world data to AI reasoning.

OllamaDuckDBFastAPI
05
Ongoing

See what doesn't exist yet

The most valuable skill isn't using today's tools — it's seeing what tomorrow's capabilities make possible.

Situational AwarenessarXiv