lee-to/ai-factory

You want to build with AI, but setting up the right context, prompts, and workflows takes time. AI Factory handles all of that so you can focus on what matters — shipping quality code.

What it solves

AI Factory simplifies the setup and management of AI-powered development environments. Instead of manually configuring prompts, contexts, and workflows for different AI coding agents, it provides a standardized way to initialize a project with the necessary skills and integrations to ensure predictable, high-quality code production.

How it works

It acts as a configuration and orchestration layer that integrates with various AI agents (such as Claude Code, Cursor, and Windsurf). By running ai-factory init, users can set up a project with specific "skills" (slash commands), MCP servers, and agent-specific configurations. It promotes a spec-driven development process where the AI follows a structured plan (explore $\rightarrow$ plan $\rightarrow$ implement) rather than random exploration.

Who it’s for

Developers who use AI coding agents and want a consistent, professional workflow that includes built-in best practices for logging, commits, and code reviews across different languages and frameworks.

Highlights

  • Zero Configuration: Quickly installs relevant skills and configures integrations via an interactive wizard.
  • Multi-Agent Support: Compatible with a wide range of agents including Claude Code, Cursor, Windsurf, Roo Code, and GitHub Copilot.
  • Spec-Driven Workflow: Provides a structured sequence of commands (e.g., /aif-plan, /aif-implement) to make AI development predictable and resumable.
  • Skill Ecosystem: Integrates with skills.sh to leverage community-created skills or generate custom ones.
  • Quality Gates: Includes machine-readable summaries for security, rules, and review verification.

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