It works. Until it doesn't.
The AI-generated code passes the first test. Then edge cases surface, error handling is missing, and the refactor breaks something else.
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Build your skills.
For building with AI.
Real sessions. Real evidence. Engineering skills for everyone working with AI.
The gap between vibe-coding, and ready-to-ship.
Faster, but less confident.
You ship more code. But you're less sure about it. The AI's confidence doesn't transfer. You can't tell what you don't know.
Prompts get stale. Judgment doesn't.
A prompt that worked last week can break on this week's model. What doesn't break: knowing when to verify, when to push back, when to throw away the output.
Deepen your skills, to reveal your Archetype.
Built for learning, grounded in science.
"'Wanting' and 'liking' are mediated by dissociable brain systems."
Vibe coding satisfies wanting (the app 'works') without liking (you understand what shipped). MLAD couples them.
"Cognitive effort — and even getting painfully stuck — is likely important for fostering mastery."
Frictionless acceleration is the trap. MLAD preserves the pause where you commit to a judgment before the replay resolves.
"Dopamine neurons don't just respond to any old reward: they respond only to rewards that differ from their prediction."
Learning rides on the gap between what you expected and what happened. MLAD's exercises make that gap explicit.
"Habits place lower demand on limited cognitive resources, freeing them up for flexible adaptation to changing environmental contingencies."
Frame, watch, commit, review. Build the right habit and it pays dividends forever.
Named patterns, each recognisable in your own work.
Real projects. Real AI sessions.
![[contain] The four phases of the proposal-driven cycle](/article-images/2026/01/proposal-cycle-simple-wm-1.png)
Gain XP via calibrated challenges. Unlock achievements.
skill - Plan before Build
