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CasDoc — AI-Driven Traceable Software Documentation Platform

基於生成式 AI 代理人技術的可追溯性軟體文件協作輔助系統

A next-generation software documentation platform that integrates LLMs, RAG, and Multi-Agent architecture to enable intelligent, traceable, and collaborative documentation management.

CasDoc Overview

Site: https://casdoc.io

Demo Video: https://youtu.be/tbVvRtZCsEk

Introduction Video: https://www.youtube.com/watch?v=nAcgW1B8hwQ

Product Hunt: https://www.producthunt.com/products/casdoc?launch=casdoc

Introduction

In the software development process, requirement, design, and test documents are crucial for ensuring system quality and team collaboration. However, traditional document management often faces the following challenges:

  • High writing costs and inconsistent quality
  • Difficulty in synchronizing and tracking document versions
  • Lack of automated integration and traceability mechanisms

CasDoc solves these problems by leveraging AI Agents and a graphical document traceability structure to create a platform that supports collaboration, traceability, and intelligent maintenance.


Use Cases

CasDoc is designed to support various key stages and roles within the software development lifecycle:

  • Automated Document Generation & Assistance:

    • github repo to doc demo
    • idea to doc demo
    • Automatically generate professional and structured software documents, including requirements, design, and testing documents, to reduce manual writing costs and ensure quality.
    • CasDoc Agent can generate draft documents from a GitHub repository or a system description, providing a solid foundation for developers to build upon.
  • Seamless Traceability Management:

    • demo
    • Visually establish and manage the traceability between different software documents (e.g., link a user story to its corresponding design and test cases).
    • When a requirement changes, developers can instantly see all affected design documents and test cases through the visual graph, allowing for quick and accurate impact analysis.
  • Intelligent Semantic Search:

    • AI Agent demo
    • Instead of manually searching through folders, a project manager can use semantic search to quickly find all documents related to a specific feature, like "OAuth login."
  • Structured Document Creation:

    • demo

    • User Stories: Quickly create and manage user stories for requirement analysis, defining roles, features, and acceptance criteria.

    • API & Data Schema Design: Developers can use dedicated templates to define API interfaces and data schemas, ensuring consistency and clarity in technical designs.

    • System Architecture Diagrams: Use the integrated Mermaid editor to draw and instantly render diagrams like C4 models or flowcharts directly within the documentation.

    • Test Cases: Efficiently create structured test cases with clear steps and expected outcomes to validate software functionality.

  • Real-time Collaborative Editing:

    • Multiple team members can edit the same document simultaneously, with changes synchronized in real-time, ensuring everyone is working on the latest version.
  • AI-Powered Relation Suggestions:

    • demo
    • The "Auto Relate" feature suggests potential connections between different document components based on semantic similarity, helping to uncover relationships that might be missed manually.

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