claude-conductor  by superbasicstudio

Codebase documentation framework for AI-assisted development

Created 7 months ago
269 stars

Top 95.6% on SourcePulse

GitHubView on GitHub
Project Summary

A lightweight, modular documentation framework designed to enhance AI-assisted development with Claude Code. It helps organize project documentation into interconnected modules, optimizes for AI navigation, and tracks development history and errors, ultimately improving Claude Code's context retention and codebase understanding.

How It Works

Claude Conductor generates a set of interconnected Markdown files that structure project documentation. It employs intelligent codebase analysis to pre-populate details like tech stack, dependencies, and API endpoints. The framework optimizes these documents for AI comprehension using line numbers, anchors, and keywords, creating a navigable scaffold that enhances AI's ability to understand and retain context within a codebase.

Quick Start & Requirements

  • Primary install: npx claude-conductor
  • Prerequisites: Node.js/npm. Users are strongly advised to have a proper Git strategy, regular backups, and version control in place before running any scripts.
  • Options: Initialize with core templates, all templates (--full), perform deep codebase analysis (--deepscan), or force overwrite (--force). A security checkup command (checkup) is also available.

Highlighted Details

  • Intelligent Codebase Analysis: Offers both fast default analysis (tech stack, file structure) and slower deep scan analysis (framework detection, dependency listing, API mapping, component discovery).
  • Modular Documentation: Creates focused, cross-linked Markdown files (e.g., CONDUCTOR.md, CLAUDE.md, ARCHITECTURE.md, JOURNAL.md) optimized for AI navigation.
  • Development Journal: Automatically maintains a changelog (JOURNAL.md) of development history.
  • Error Tracking: Includes a dedicated ledger (ERRORS.md) for tracking critical errors.
  • Security Checkup: A CLI command (checkup) identifies potential code vulnerabilities (e.g., exposed keys, XSS risks) without modifying files.
  • Ultra-Safe Upgrade System: An experimental (EARLY ALPHA) 3-step backup, clean install, and restore process for upgrades, requiring extreme caution.

Maintenance & Community

The project is currently maintained by a single individual in their free time. No specific community links (Discord, Slack) or roadmap details are provided in the README.

Licensing & Compatibility

  • License: BSD 2-Clause.
  • Compatibility: No explicit restrictions for commercial use are mentioned, but the project includes a strong disclaimer stating it is provided "as is" without warranty, and users run it at their own risk.

Limitations & Caveats

The project is maintained by a single individual with limited availability. The "Ultra-Safe Upgrade System" is an experimental ALPHA feature requiring significant user caution, full project backups, and testing on a copy before use. The software is provided "as is," and users assume full responsibility for data loss or issues.

Health Check
Last Commit

1 month ago

Responsiveness

Inactive

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

Explore Similar Projects

Starred by Alex Yu Alex Yu(Research Scientist at OpenAI; Cofounder of Luma AI), Will Brown Will Brown(Research Lead at Prime Intellect), and
7 more.

avante.nvim by yetone

0.4%
17k
Neovim plugin emulating Cursor AI IDE for AI-driven code assistance
Created 1 year ago
Updated 2 days ago
Feedback? Help us improve.