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Documentation Index

Fetch the complete documentation index at: https://factory-changelog-may14.mintlify.app/llms.txt

Use this file to discover all available pages before exploring further.

The AutoWiki view in the Factory App at app.factory.ai/wiki lets you browse, search, and manage generated Wikis for all your repositories in one place.

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Browsing your Wikis

The main AutoWiki page shows a table of repositories with generated Wikis. Each row displays the repository name, last refresh date, and branch. Click a repository to open its Wiki.

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Wiki reader

The Wiki reader provides:
  • Markdown rendering — Full-fidelity rendering of the generated documentation with syntax-highlighted code blocks
  • Table of contents — A sidebar outline of the current page for quick navigation
  • Breadcrumbs — Hierarchical navigation showing your position in the page tree
  • Search — Full-text search across all generated pages
  • Version history — A dropdown to browse previous Wiki generations and compare how documentation has evolved
  • Export — Download the generated documentation as markdown files

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Refreshing a Wiki

Click the Refresh button on a Wiki page to regenerate documentation. A modal presents two options:

One-time refresh

Regenerate the Wiki once using the latest code on the default branch.

Recurring (on push)

Install a CI action that refreshes the Wiki on every push to the default branch.
After choosing a mode, select how to run the generation:
MethodDescription
LocalCopies the Droid CLI command (/wiki or /install-wiki) for you to paste into a local Droid session
CloudRuns the generation on a cloud template linked to the repository

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Batch refresh

From the top-level AutoWiki page at app.factory.ai/wiki, you can refresh multiple repositories at once:
  1. Click Refresh to enter selection mode
  2. Select the repositories you want to refresh
  3. Choose One-time or Recurring
  4. Select a Droid Computer to run the work
Droid clones each repository on the selected Droid Computer and generates Wikis, or sets up recurring generation, running the jobs in parallel where possible.

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See also