DraftView vs Confluence for Documentation Review

The Confluence Review Workflow

Confluence: The technical writer copies rendered documentation content into a Confluence page, shares it with reviewers, and collects comments and inline suggestions there. Once feedback is collected, the writer must manually transfer each change back to the Markdown source in Git. The Confluence page and Git repository are completely disconnected; there is no automatic sync.

DraftView: DraftView renders the GitHub PR as a visual review page. GitHub members sign in with their account; PMs, legal, and SMEs without a GitHub account join the org by magic link, read the rendered document, and suggest edits inline. Every suggestion syncs back to the PR as a native GitHub Suggested Change (a GitHub member verifies and pushes the GitHub-less feedback with their own token), so no manual reconciliation is needed.

Reviewing AI-Generated Docs

Confluence: A wiki page has no connection to your pull requests and no concept of an AI author. Someone has to spot each PR, copy it into Confluence, gather comments, and transcribe the result back to Git. As agents open more doc PRs, that manual mirror is where review stalls or degrades into a rubber stamp.

DraftView: Every doc PR in a connected repo is auto-ingested into one review queue, labeled by who or what wrote it, so AI-authored changes never merge unread. Reviewers comment and suggest on the rendered page; when the agent pushes a fix, DraftView shows the before/after tied to each comment. An approver signs off, CI goes green, DraftView surfaces “ready to merge,” and the sign-off is recorded as an exportable human-oversight trail for the EU AI Act.

Content Duplication

Confluence: Using Confluence for documentation review means maintaining two copies of your content: the source in Git and the review copy in Confluence. These copies immediately start drifting apart. If the Git source changes while review is in progress, the Confluence page becomes stale, and applying old feedback to new content creates merge conflicts.

DraftView: There is no second copy. DraftView reads directly from the PR branch. The content you review is always the current version.

Format Fidelity

Confluence: Confluence uses its own proprietary markup. Markdown, MDX, and AsciiDoc content must be reformatted or pasted as plain text. Code blocks, frontmatter, admonitions, and component-based content (like MDX) lose their structure. Reviewers may be commenting on formatting artifacts rather than actual content.

DraftView: DraftView renders Markdown, MDX, and AsciiDoc natively using a purpose-built rendering engine. What reviewers see matches what will be published on your documentation site.

When Confluence Is the Better Choice

• Your documentation lives natively in Confluence (not in Git)
• You need a general-purpose wiki and knowledge base alongside documentation
• Your team is deeply integrated with the Atlassian ecosystem (Jira, Trello, Bitbucket)

When DraftView Is the Better Choice

• Your documentation source is Markdown, MDX, or AsciiDoc stored in GitHub
• You want reviewer suggestions to land in the PR as GitHub Suggested Changes
• You need to eliminate the copy-paste-reconcile cycle between Confluence and Git
• You require Git-native audit trails for compliance (SOC2, legal sign-off)
• You work in a docs-as-code workflow and want reviews in the same pipeline