01 Learn
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Make the invisible visible.
Understand context, permissions, planning, and the decisions an agent makes before it edits a file.
Explore foundations → The practical school for AI-assisted development
Build with agents.
Understand why.
Learn the thinking behind AI coding agents, practice in a safe terminal, and take workflows you can use to your next project.
RMY+
2,400+ builders are learning in publicLIVE PRACTICE ●
learn / first-agentSIMULATED
// mission 01: understand the repo
you Explore this project and tell me where auth lives.
agent I will map the structure first, then inspect likely entry points.
├─ scanning 18 files
├─ found src/auth/
agent Before I read deeper: should I include test fixtures?
you▌
Context firstAgent habit unlocked
✓NO REAL COMMANDS EXECUTED ↗
Start where you are
One foundation.
Your tool of choice.
Showing the Claude Code starter path. Not sure where to begin?
The learning loop
Less theory. More shipping.
Every lesson turns a concept into a repeatable habit you can bring back to your codebase.
02 Practice
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Learn by doing, safely.
Use guided terminal missions with virtual files, hints, and feedback. No keys. No risk. No hand-holding.
Open the playground →03 Configure
AGENTS.mdCLAUDE.mdrules/
Make your standards portable.
Describe your project once. Generate clear, compatible instructions for the agents your team actually uses.
Try Config Studio →A better first step
Meet your
starting point.
Answer three quick questions and we will shape a path around how you already build.
PATH FINDER01 / 03
How comfortable are you in a terminal?
Signature feature
Your project rules,
everywhere.
Stop rewriting the same context for every tool. Config Studio maps your engineering standards into the formats your agents understand.
Open the studio ↗Build a calm, accessible habit tracker with React and SQLite.
GENERATED FILES3 files
◈ AGENTS.md ✓
◈ CLAUDE.md ✓
◈ .codex/rules.md ✓
The first commit