Catch undocumented changes
before they reach production.
FluentDocs ensures fast-moving engineering teams never ship features without accurate documentation by detecting drifts in pull requests and suggesting surgical updates.
Surfaces we monitor for drift
Most developers won’t wait for support when onboarding breaks. They leave.Documentation integrity is your first line of retention.
Why did this break? Why is this still in the docs?
As release velocity increases, undocumented changes slip into production, causing developer confusion, AI agent failures, and escalating support costs.
See what’s broken in your docs
Takes under 3 minutes. Connect GitHub and get your first report. No code changes required.
Undocumented Breaking Changes
Code changes ship without documentation updates, causing developers and AI agents to rely on outdated assumptions and fail unexpectedly.
Missing Documentation for New Features
New endpoints, parameters, and features are shipped without any documentation, leaving both developers and AI agents unable to correctly use or discover them.
Obsolete Documentation
Documentation continues to reference removed endpoints and deprecated features, causing developers and AI agents to rely on functionality that no longer exists.
How it works
Enforce documentation accuracy from PR to production.
1. First Scan
Fix existing documentation debt. Initial scans recover traceability links between documentation and code, leveraging static analysis to catch stale references, identify undocumented public surfaces, detect drifts, and compute an initial Documentation Health Score.
2. PR Enforcement
Continuous accuracy embedded into your workflow. Automated analysis of pull request diffs identifies exactly which documentation pages are affected by code changes, flagging gaps before merge to ensure no undocumented change reaches production.
3. Context-Aware Drafting
Intelligent drift resolution. By combining static analysis signals with repository intelligence, and custom Agent instructions, structured drafts are automatically generated through surgical updates that maintain formatting while ensuring claims align with the actual change.