AI-Powered Codebase Documentation Portal
A comprehensive platform for analyzing complex codebases using AI-powered tools and generating detailed architectural documentation.
Case Study: Analysis of the open-source Xikolo platform (case study) — 900+ components mapped across 33 functional clusters.
🎯 About This Project
This portal demonstrates a comprehensive AI-powered methodology for analyzing large codebases and generating high-quality architectural documentation. The approach combines automated code analysis, AI-driven pattern recognition, and multi-run consensus building to create accurate, maintainable documentation at scale.
📚 Case Study: Xikolo Platform
Applied to the open-source Xikolo learning management system (github.com/openHPI/xikolo-core), this analysis mapped:
🚀 Key Innovations
- Multi-Run AI Consensus: Novel approach using multiple independent analysis runs synthesized through AI-powered cross-validation
- Knowledge Graph Engine: Custom-built system for component relationship mapping and dependency analysis
- Smart Batch Synthesizer: Confidence-scored consolidation across analysis runs with provenance tracking
- Enhanced Reporting: Professional documentation with hybrid Mermaid + SVG diagrams and interactive navigation
💡 Universal Applicability
While demonstrated on Xikolo, this methodology and tooling can be applied to any large codebase. The approach helps development teams:
- Accelerate onboarding for new team members
- Improve DORA metrics through better platform understanding
- Enable AI-assisted development with structured knowledge graphs
- Maintain accurate documentation as codebases evolve
- Identify technical debt and refactoring opportunities
Explore the Analysis
Navigate through comprehensive architectural analysis, cluster reports, and AI workflow resources
Research & Approach
Comprehensive documentation of the AI-powered analysis methodology, DORA-informed framework, and multi-run consensus building approach applicable to any codebase.
Architecture Analysis
Detailed architectural analysis of the Xikolo platform with visual diagrams, design patterns, and component interactions. See the methodology in action.
Detailed Cluster Analysis
In-depth analysis reports for 33 functional clusters across 7 categories. Each report includes architecture diagrams, workflows, components, and technical debt assessment.
Knowledge Graph Explorer
Interactive D3.js visualization of component relationships and dependencies. Explore the 900+ components and 138 relationships mapped during analysis.
AI Workflow Resources
Structured JSON knowledge graphs, workflow definitions, and AI-ready resources enabling LLM-powered development assistance and code generation.
Architecture Categories
33 clusters organized into 7 functional categories
Core Platform
Authentication, course content, services, navigation, and API gateway.
Learning Features
Quizzes, discussions, videos, files, achievements, gamification, polls, LTI, and proctoring.
Communication
Announcements, notifications, and referral tracking systems.
Administration
Admin panel, analytics, content management, and support tools.
Infrastructure
System core, database, background jobs, service communication, UI components.
Security & Compliance
Cookie consent, reCAPTCHA integration, and security features.
DevOps & Quality
Testing infrastructure, monitoring systems, internationalization, and deployment tools.
What's Inside
Visual Diagrams
Mermaid.js diagrams showing system architecture, component relationships, and data flows.
Detailed Reports
Comprehensive cluster reports with component analysis, interactions, and dependencies.
AI-Ready
Structured JSON knowledge graphs optimized for AI workflows and development tools.
Developer Docs
Complete API references, guides, and deployment instructions for developers.
Best Practices
Coding standards, architectural patterns, and proven development practices.
Always Updated
Living documentation that evolves with the platform.