Everything You Need for Better Documentation
From automatic code analysis to AI-powered chat, DocubotAI gives your team the tools to create, maintain, and share documentation effortlessly.
Auto-Generate from Code
Connect your GitHub, Azure DevOps, or Confluence workspace. DocubotAI analyzes your code structure, APIs, and dependencies to generate comprehensive documentation. No CLI tools or npm packages required -- everything happens in the cloud.
- One-click GitHub/Azure DevOps connection
- Automatic code structure analysis
- API endpoint documentation
- Dependency mapping
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Always in Sync
Set up webhooks once and your documentation updates automatically every time you push code. Never worry about outdated docs again. DocubotAI detects changes in your codebase and regenerates the affected sections.
- Webhook-triggered updates
- Incremental regeneration
- Change detection & diffing
- Zero manual maintenance
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Chat with Your Docs
Every project gets its own AI assistant trained on your specific codebase. Ask questions in natural language and get precise answers with source code references. Perfect for onboarding new team members or diving into unfamiliar code.
- Codebase-specific AI assistant
- Source code references
- Natural language queries
- Instant onboarding tool
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Export Anywhere
Publish your documentation wherever your team works. Export to Confluence, GitHub Wiki, Azure DevOps Wiki, or download as PDF, Markdown, or HTML. Your documentation travels with your workflow.
- Confluence integration
- GitHub Wiki export
- Azure DevOps Wiki sync
- PDF, Markdown, HTML downloads
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Works Where You Work
Connect to the platforms your team already uses. No migration required.
Connect public and private repositories
Full Azure DevOps integration
Publish directly to Confluence
Intelligent Documentation Engine
Advanced AI that understands your code the way your best engineer does.
Deep analysis of code structure, patterns, and architecture to generate accurate documentation.
Automatic detection and documentation of REST APIs, GraphQL schemas, and function signatures.
Visual representations of your system architecture, data flow, and component relationships.
Auto-generated code examples and usage patterns extracted from your actual codebase.