Swimm

Swimm keeps code documentation alive by linking docs to the code they describe, with AI that drafts documentation and flags it when code changes.

Overview

Documentation dies the moment code moves. Swimm attacks that problem by making docs code-coupled: documentation embeds references to actual code elements, and when those elements change, the docs are marked stale and routed for review. Its AI features draft documentation from repository context — onboarding guides, component explanations, workflow walkthroughs — and keep them discoverable inside the IDE and pull request flow. The result is documentation that engineers trust because it visibly tracks reality.

Key Features

• Code-coupled docs that surface staleness when code changes
• AI documentation drafting grounded in repository context
• Docs discoverable in IDEs and pull request workflows
• Onboarding and architecture documentation templates
• Team knowledge coverage and adoption analytics

Pricing

A free tier supports small teams and open repositories; paid plans scale by team size with enterprise options for security and administration.

Who Is It For

Engineering organizations where tribal knowledge, onboarding speed, and documentation rot are recurring problems.

Teams usually start by documenting the areas that hurt most — service boundaries, critical workflows, the module everyone is afraid to touch — and let staleness tracking keep those docs honest. The AI drafting shortens the first draft, but the maintenance model is the real value: pull requests that touch documented code trigger review of the docs themselves. New engineers benefit immediately, since onboarding guides are discoverable in the IDE, and managers gain visibility into where institutional knowledge is thin. Adoption grows organically once a few critical areas are documented well, since engineers naturally extend the pattern to the parts of the codebase they own and maintain day to day. Because docs live with the code in review, documentation debt is paid continuously in small increments instead of in expensive rewrite projects.