agent-first-bootstrap

To bootstrap an Agent-First project, run agent-bootstrap init to automatically generate structured project artifacts, an AGENTS.md file, docs architecture, and tool-specific bootstrapping files. It uses an interactive interview protocol to capture your project goals and constraints.

Yes, you can generate configuration files for Claude Code, Codex, and Copilot simultaneously. The bootstrap process supports multi-tool initialization across Codex, Claude Code, Qwen Code, GitHub Copilot, and Gemini CLI to ensure rapid readiness.

The best way to structure docs architecture is using a repeatable scaffold that enforces project-structure constraints and provides validation hooks. This ensures proper governance and accelerates onboarding for teams starting new AI ventures.

Yes, the bootstrap workflow includes validation hooks to ensure project readiness. It enforces project-structure constraints and supplies a guided activation workflow that validates the generated artifacts and tool-specific configurations.

To start a new Agent-First project from scratch, execute agent-bootstrap init. This triggers an interactive project interview protocol to capture your success criteria, followed by automatic generation of required documentation and configuration files.

You should use an automated scaffold when bootstrapping new AI projects becomes time-consuming. It provides a repeatable scaffold that accelerates onboarding and governance by generating essential documentation and configuration files automatically.