Consider renaming repository to better reflect AI development setup purpose

[sirkitree]

Problem

The current repository name is generic and doesn't clearly communicate the tool's purpose. When developers search for AI development setup tools, they're unlikely to discover this repository based on its name alone.

Current Repository Analysis

This CLI tool helps developers set up their development environment with AI tools, memory banks, and project-specific rules. Key features include:

• Tool configuration for multiple AI development tools (Cursor, Claude, Windsurf, GitHub Copilot, etc.)
• AGENTS.md standardization across all AI tools
• Project validation and rules (currently supports Drupal)
• Memory bank setup for AI assistance
• Git-based file access with version pinning
• Comprehensive task system with different task types

Suggested Names

Top Recommendations:

1. ai-dev-setup

   • Clear, concise, and describes exactly what it does
   • Emphasizes AI development focus
   • Easy to remember and type
   • Generic enough to support multiple AI tools

2. ai-workspace-cli

   • "Workspace" implies comprehensive setup
   • CLI indicates command-line nature
   • AI focus is clear
   • Suggests organization and structure

3. agent-forge

   • "Agent" ties to AGENTS.md standardization
   • "Forge" suggests creation/building
   • Memorable and brandable
   • Implies powerful tool creation

Additional Options:

4. ai-toolchain-setup - Professional, suggests integrated tools
5. multi-ai-setup - Highlights multi-tool support
6. ai-project-init - Familiar to developers, similar to npm init
7. dev-conductor - Suggests orchestration of multiple tools
8. ai-scaffold - Familiar development term, suggests framework
9. lullabot-ai-setup - Keeps branding but clarifies purpose

Benefits of Renaming

• Better discoverability: Developers searching for AI development tools will find it
• Clearer purpose: Name immediately communicates what the tool does
• Professional appeal: Technical names appeal to developer audience
• SEO benefits: Better keywords for GitHub search and Google
• Easier adoption: Clear names reduce friction for new users

Considerations

• GitHub redirects: Old name will redirect automatically
• NPM package name: May need to coordinate with package registry
• Documentation updates: README, links, etc. will need updates
• Brand continuity: Consider maintaining Lullabot attribution in description

Recommendation

My top recommendation is ai-dev-setup as it perfectly balances clarity, professionalism, and searchability while being generic enough to grow with the tool's capabilities.

What are your thoughts on these suggestions?

[owenbush]

This tool does lean heavily towards AI. I originally didn't think it was limited to that though. It can be used to scaffold any number of boilerplate files - similar to composer scaffolding - for example adding the VSCode launch.json for debugging. This is why I went with a more generic name. However, if we feel there's no need to do that, and to focus on the AI side of things, I can totally do that.