Use Cases › Learning with Voice and OpenCode

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Learning with Voice and OpenCode

The Problem

Learning new tech requires reading docs, trying code, and asking questions. The context-switching between reading, typing, and searching is inefficient.

The Solution

Voice creates a conversational learning loop. Talk through concepts with the AI, get spoken explanations, and drill into specifics naturally.

Workflow

1. Tell the AI what you want to learn: /ptt "Explain Rust ownership to me like I'm a JavaScript developer."
2. Listen to the explanation via TTS.
3. Interrupt when something is unclear: "What's a borrow checker? Why does it matter?"
4. The AI adjusts its explanation. Ask for code examples: "Show me a code example where borrowing fails."
5. Type /ptt to ask follow-up questions as they come up.
6. The conversational format helps concepts stick better than reading docs alone.