- Engineering Teams: Keep documentation in sync with live code logically.
- New Developers: Access accurate onboarding and training guides.
- Technical Writers: Maintain accuracy with evergreen docs.
- Open-Source Projects: Improve contribution quality with inline docs.
- Leader/Architects: Provide comprehensive context for project decisions.
How to Use Swimm?
- Install Browser or IDE Extension: Connect to your repo.
- Annotate Code: Add documentation anchors in code.
- Auto-Update: Swimm flags outdated docs on code change.
- View Docs Inline: See relevant docs while coding.
- Track in Dashboard: Use monitoring features to track documentation health.
- Code-aware documentation syncing
- Interactive guides anchored in code
- Automatic doc alerts on code changes
- Supports team onboarding and knowledge sharing
- Inline documentation in IDE for real-time use
- Solves common doc drift issues.
- Enhances onboarding and dev velocity.
- Works across code and docs cohesively.
- Simple version tracking and alerts.
- Best suited for codebases with active contributions.
- Adds metadata but may need doc culture change.
Custom Pricing
Contact Sales for Quote
Suitable for projects of any size, including millions of lines of code
Includes AI-generated documentation, flow visualizations, and detailed explanations
Supports modernization, mainframe agility, and knowledge transfer
Flexible deployment options: on-premises, cloud, air-gapped
Compatible with internal LLM instances (Azure OpenAI, OpenAI Enterprise)
SOC 2 and ISO 27001 compliant security standards
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Editorial Note
This page was researched and written by the ATB Editorial Team. Our team researches each AI tool by reviewing its official website, testing features, exploring real use cases, and considering user feedback. Every page is fact-checked and regularly updated to ensure the information stays accurate, neutral, and useful for our readers.
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