dotai  by udecode

AI-powered development workflow template

Created 1 year ago
1,020 stars

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Project Summary

This project provides an AI-powered development workflow template, integrating Claude Code, Task Master, and optionally Cursor IDE. It aims to streamline the development process by automating task management, documentation generation, and code review through natural language commands, benefiting developers seeking an efficient, AI-assisted coding experience.

How It Works

The system leverages Claude Code for project context understanding via a CLAUDE.md file and natural language interaction. Task Master manages tasks through a tagged system, allowing users to query, update, and progress through development items using simple commands. Research commands utilize web search for up-to-date information, augmenting the AI's knowledge base.

Quick Start & Requirements

  • Install and run Claude Code: claude
  • Launch Task Studio (optional): npx task-studio@latest
  • Requires Anthropic's Claude models (paid plans recommended for extensive use).
  • Official documentation: Not explicitly linked, but commands are detailed in the README.

Highlighted Details

  • Integrates Claude Code for project context and natural language commands.
  • Task Master provides tagged task management with commands like /next, /done, /list.
  • Supports research commands for technologies, security, and architecture.
  • Optional Cursor IDE integration for granular code review and diff management.

Maintenance & Community

  • No specific contributors, sponsorships, or community links (Discord/Slack) are mentioned.
  • Roadmap and other community engagement details are not provided.

Licensing & Compatibility

  • License: MIT.
  • Compatible with commercial use and closed-source linking.

Limitations & Caveats

Claude Code lacks chat history persistence between sessions and offers less granular control over file changes compared to Cursor. Cursor can become slow with long conversations and has less efficient project context management. The project relies on paid Anthropic models, with recommended plans outlined for different usage levels.

Health Check
Last Commit

1 month ago

Responsiveness

Inactive

Pull Requests (30d)
1
Issues (30d)
0
Star History
23 stars in the last 30 days

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