Entelligence AI Docs
Entelligence AI Docs is an advanced documentation engine that automatically generates accurate, structured, and developer-friendly documentation from your codebase. By analyzing source files, commit history, code semantics, and repository structure, it ensures that your documentation remains comprehensive, collaborative, and up to date, with minimal manual effort.
Key Capabilities
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One-Click Generation
Instantly create full documentation from your codebase. -
Contextual Architecture Breakdown
Automatically generate high-level architectural overviews and component relationships. -
Multi-Language Support
Compatible with TypeScript, Python, Go, Java, and more. -
Granular Coverage
Includes structured documentation for files, modules, classes, methods, and interactions. -
Real-Time Collaborative Editing
Enables multiple users to edit and view updates simultaneously, with live sync across sessions.
Getting Started
Step 1: Open the Documentation Dashboard
Navigate to the Documentation tab in the left sidebar to access the Entelligence AI Docs dashboard.
Step 2: Add a Codebase
Click the “+ Add Codebase” button and choose:
- Private Repository: Enter a Git URL (e.g.,
https://github.com/your-org/repo.git) - Public Repository: Select from the list of accessible repositories
Step 3: Configure Ingestion
- Select the branch you want to ingest documentation from.
- Choose what to include:
- Pull Requests
- Issues
- Existing documentation (Markdown or other supported formats)
Ingestion typically takes 3 to 5 minutes, depending on the size of the repository.
Step 4: Generate Documentation
Once your codebase is linked:
- It will appear in the repository list under the Documentation tab.
- Click “Generate Docs” to start the auto-documentation process.
- Documentation will be structured based on files, commits, PRs, and architecture.
Auto-Generated Documentation Structure
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Architecture Overview
Provides a narrative and visual breakdown of system architecture and major components. -
Module and Component Descriptions
Describes the role, logic, and interdependencies of each module. -
Entry Points
Identifies key files and scripts responsible for bootstrapping functionality. -
Interaction and Workflow Flows
Explains how components interact, including internal calls and external interfaces. -
Security and Performance Notes
Extracts and highlights important insights from code annotations and static analysis.
Customization and Collaboration
Manual Edits
You can directly modify or enhance any AI-generated section. Edits are preserved across regenerations when possible.
Real-Time Collaboration
Changes made by one user are instantly reflected across all team members' views, ensuring consistent and collaborative editing.
Export and Sharing
Documentation can be exported in the following formats:
- Markdown
- Notion
- Confluence
Benefits
-
Faster Developer Onboarding
Offers quick orientation and system-level understanding for new team members. -
Centralized Knowledge Base
Consolidates technical knowledge in one continuously updated location. -
Reduced Documentation Overhead
Eliminates the need for extensive manual documentation efforts. -
Improved Collaboration
Enables distributed teams to work together seamlessly on maintaining accurate docs.
Ideal Use Cases
- Engineering teams working on dynamic or frequently changing codebases
- Enterprises with compliance or audit requirements for technical documentation
- Open-source projects looking to streamline contributor onboarding
- Internal tools and infrastructure teams needing clear, navigable documentation
Summary
Entelligence AI Docs provides a scalable, intelligent solution for maintaining technical documentation across fast-moving engineering teams. By automating structure, updates, and collaboration, it transforms documentation from a static asset into a dynamic, always-current knowledge base.