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docs/tools/chat.md
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- **Collaborative thinking partner** for your analysis and planning
- **Get second opinions** on your designs and approaches
- **Brainstorm solutions** and explore alternatives together
- **Structured code generation**: When using GPT-5 Pro or Gemini 2.5 Pro, get complete, production-ready implementations saved to `zen_generated.code` for your CLI to review and apply
- **Structured code generation**: When using GPT-5.1 or Gemini 3.0 / 2.5 Pro, get complete, production-ready implementations saved to `zen_generated.code` for your CLI to review and apply
- **Validate your checklists** and implementation plans
- **General development questions** and explanations
- **Technology comparisons** and best practices
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## Structured Code Generation
When using advanced reasoning models like **GPT-5 Pro** or **Gemini 2.5 Pro**, the chat tool can generate complete, production-ready code implementations in a structured format.
When using advanced reasoning models like **GPT-5 Pro** or **Gemini 3.0 Pro**, the chat tool can generate complete, production-ready code implementations in a structured format.
### How It Works
1. You ask your AI agent to implement a complex new feature using `chat` with a higher-reasoning model such as **GPT-5 Pro** or **Gemini 2.5 Pro**
1. You ask your AI agent to implement a complex new feature using `chat` with a higher-reasoning model such as **GPT-5 Pro** or **Gemini 3.0 Pro**
2. The model generates structured implementation and shares the complete implementation with Zen
3. Zen saves the code to `zen_generated.code` and asks AI agent to implement the plan
4. AI agent continues from the previous context, reads the file, applies the implementation