For Developer Docs

Enforce documentation accuracy in PRs

FluentDocs reinforces plain AI suggestions with static analysis for reliable and precise drift detection in PRs, blocking merges to ensure your tutorials, guides, and configs reflect your codebase.

Protecting Every Layer of Your Documentation

SDK Guides
CLI Guides
Tutorials
Configuration Guides
Integration Guides
Architecture Docs

Engineered for Reliability

Combine static analysis with self-improving AI suggestions to keep your technical documentation in sync with your codebase.

AST-Based Drift Detection

FluentDocs automatically recovers traceability links between your docs and code. We use static analysis to reliably detect undocumented public surfaces and API drifts with high precision.

Tracked Codebase Entities

Code references
CLI flags
Filenames and file paths
Environment variables
Configurations
Ports
API Routes
Architecture

Enforce PR Accuracy

Detect drift in seconds whenever code changes. Block outdated pull requests to ensure your docs are always verified before shipping.

Smart AI suggestsion

Blend static checks with AI to suggest accurate documentation updates tailored to your existing docs and style.

Continuous Feedback Loop

Review feedback is never lost in stateless CI runs. It feeds directly back into the system, continuously refining future drift detection and update suggestion.

Workflow Integration

Built into Your Workflow

Enforce documentation accuracy from PR to production with seamless workflow integration.

01

Install App

Connect your code and documentation repositories via the GitHub App with minimal setup.

02

Initial Analysis

See what's already broken in your docs. Initial scan surfaces existing drifts even without a code change.

03

Continuous Monitoring

With repositories connected, Fluentdocs monitors for code changes, detect drifts and suggest updates via PR.

Got Questions?

Learn more about FluentDocs.

No. To ensure accuracy and reliability, we use a deterministic-first approach. FluentDocs combines AST-based static analysis, custom heuristics, and LLM to provide reliable drift detection and update suggestions.
We focus on reinforcing developer documentation (tutorials, configs, guides) with code-context analysis. For abstract surfaces, we leverage our LLM Engine to provide smart suggestions, ensuring all docs keep pace with code.
No. FluentDocs never stores your full source code. We index lightweight identifiers (function names, endpoint paths, type signatures) to build traceability links. Data is encrypted and you can revoke access from your GitHub App settings at any time.