Module 1The AI-Native Mindset · 12 min

The conversational development paradigm

Video dropping soon · 12 min

Lesson notes below ↓

Shooting script

Scene 1Hook

Open with: 'The biggest mistake people make with Claude Code is using it like a search bar.' Show split-screen: someone typing a one-word query vs someone having a back-and-forth conversation.

Scene 2The loop

Explain the conversational development loop: describe → Claude executes → you review → refine. Show a real React component being built across 3 conversation turns, each turn improving it.

Turn 1: 'Build me a user card component'
Turn 2: 'Add skeleton loading state'
Turn 3: 'Make the avatar fallback use initials'

Scene 3Prompting mindset

Cover three prompt ingredients: CONTEXT (what's the codebase doing), CONSTRAINT (what can't change), OUTCOME (what should exist after). Show the same request written badly vs well.

Scene 4Live demo

Open a real project. Have a 4-turn conversation to add a feature. Narrate your thought process — what you tell it, what you hold back, when you push back on its suggestion.

Scene 5Recap

Think outcome, not implementation. Give context freely. One concern at a time. Review every diff.

The conversational loop

Every productive Claude Code session follows a cycle: describe what you need → Claude reads relevant files and proposes changes → you review the diff → you refine. The skill is in making each iteration tight.

  • Start with context: what is this project, what problem are we solving?
  • Describe the outcome, not the steps: 'Add email verification' not 'create a verify-email.ts file that exports...'
  • One concern per turn: mixing three requests muddies the diff
  • Push back when the approach is wrong: Claude will reconsider

The three prompt ingredients

Context — what's the surrounding code doing, what frameworks are in play, what conventions exist. Claude reads files automatically but you can accelerate this.

Constraint — what must NOT change. Be explicit: "don't break the existing API contract", "keep this file under 200 lines", "no new dependencies".

Outcome — what should be true when it's done. A passing test, a visible UI element, a working endpoint.

Common mistake

Giving Claude Code an implementation plan instead of an outcome. When you specify the steps, you constrain Claude to your mental model. Describing the outcome lets it find a better path.

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