honcho-interview

What problem does it solve?

The honcho-interview captures stable, cross-project user preferences and environment details so the AI assistant can remember and apply consistent behavior across sessions, projects, and context wipes.

Core Features & Use Cases

• Memory-first interview: Checks existing Honcho memory and environment files to avoid repeating known preferences.
• Batched questioning: Presents all remaining preference questions in a single list so users can answer once and move on.
• Structured conclusions: Converts each clear preference into a single-sentence conclusion saved via Honcho for reliable future behavior.
• Use Case: When onboarding a developer, run the interview to record communication style, code-quality priorities, collaboration preferences, package managers, and editor/tooling so follow-up sessions respect those settings.

Quick Start

Run the honcho-interview to detect your environment and save your communication style, code-quality preferences, collaboration approach, and tooling choices to Honcho.