Everdone

Everdone

Everdone a Work-as-a-Service AI platform that turns code into clear, consistent, always up-to-date documentation.

Pricing:Freemium
Price: $25/month

About

Everdone is an AI-powered Work-as-a-Service platform starting with CodeDoc, which instantly generates clean, accurate code documentation from your GitHub repositories. Once you connect your repo and pick the files you want, Everdone creates clear, easy-to-read documentation for each one, and keeps it updated automatically whenever your code changes. We built Everdone because most teams struggle with outdated docs, slow onboarding, and the pain of digging through unfamiliar code. Our goal is simple: give developers documentation they can trust, produced by AI that actually understands the work. Pricing: - 50 files free - $0.25 per file for AI documentation

Key Features

Instant CodeDoc Generation

Automatically generates clear, file-by-file documentation for selected files and modules from your GitHub repository in minutes.

Automatic Daily Updates

Keeps documentation in sync with code by detecting repository changes and refreshing docs daily so documentation never goes stale.

Secure GitHub Integration & Selective Coverage

One-click GitHub connection with the ability to choose repos or specific files to document, giving teams control over scope and access.

Usage-based Pricing & Team Access

Pay-per-file pricing (with a free tier for initial files) and team-friendly access without per-seat licenses or setup-heavy pipelines.

How to Use Everdone

How it works: - Connect GitHub - Choose repos/files - Instant documentation which can be shared with unlimited team members - Set up automation to re-document changed files daily - We don’t train on customer code

Use Cases

Faster onboarding: New engineers join a project and use Everdone-generated file-level docs to quickly understand architecture, module responsibilities, and common flows without needing repeated senior hand-holding.
Code reviews & maintenance: Reviewers and maintainers consult the up-to-date documentation to understand intent and side effects of files, speeding reviews and reducing mistaken changes.
Improve AI tooling and automation: Enrich repositories with human-readable context so AI assistants (Copilot, Claude, etc.) and automated workflows produce better code suggestions, tests, and automation.
Knowledge preservation & compliance: Preserve domain knowledge when engineers leave and maintain consistent documentation for audits, handoffs, or regulated environments.