AutomaDocs vs CodeDocs AI
AutomaDocs
automadocs.com
CodeDocs AI
eganforge.comSide by side
| Figure | AutomaDocs | CodeDocs AI |
|---|---|---|
| Price from | $39/mo | $9/mo |
| Free plan | Yes | Yes |
| Free trial | — | Yes |
| Open source | — | — |
| Web | Yes | Yes |
| API | Yes | Yes |
| Self-hosted | Yes | — |
| Plans published | 4 | 3 |
| Spec score · AI Documentation Generators | 9.2 (#1) | 9.0 (#2) |
| Intended users | AutomaDocs describes its audience as engineering managers and tech leads at small and mid-size product teams that ship in GitHub. | The product page describes CodeDocs AI as a tool for teams that want AI to document their code while they build. |
| Parsing | JavaScript, TypeScript, and Python receive deep Tree-sitter parsing, while Claude AI can analyze other languages directly. | Its AI extracts function signatures, types, dependencies, and relationships from a codebase. |
| Purpose | AutomaDocs generates documentation from GitHub repositories and refreshes it when code changes are pushed. | CodeDocs AI generates code documentation from Git repositories. |
| Support | Support is self-serve with email for bugs or billing; the company says it typically replies within a few business days and offers no 24/7 phone line, SLA, or account manager. | The maker says feature requests, bug reports, and feedback go directly to the people and agents building the product. |
| What it does | AutomaDocs connects GitHub repositories, generates technical documentation, refreshes it after code pushes, and answers code questions with source citations. | CodeDocs AI generates code documentation from Git repositories. |
Plans
In their own words
AutomaDocs
AutomaDocs generates documentation from GitHub repositories and updates it when code changes are pushed. It can produce README files, API references, function notes, architecture overviews, and getting-started guides. An AI chat interface answers plain-language codebase questions and cites related files and functions. JavaScript, TypeScript, and Python receive deep Tree-sitter parsing, while Claude AI can analyze other languages directly. GitHub OAuth and webhooks provide repository connections, and documentation can be accessed by Claude Code and Cursor through MCP. Users may edit generated pages; the service says those edits are preserved and merged with later AI updates. Health scores show the share of functions with documentation, with 80% or higher marked green and below 40% red. The hosted service has a free plan for one repository and 50 monthly chat messages. Pro costs $39 a month, billed annually at $470 per year. Self-hosting uses Docker Compose and setup scripts.
CodeDocs AI
CodeDocs AI generates searchable documentation sites from Git repositories. Its AI extracts function signatures, types, dependencies and relationships from a codebase. It supports TypeScript, Python, Go, Rust, Java, C#, Ruby, PHP, Swift, Kotlin and five or more additional languages, and is described as framework-aware. Connected repositories can update documentation on each push, while smart diff detection regenerates changed sections. Output sites include syntax highlighting, interactive examples and dark mode. The service is available through web and API platforms, though API access itself is listed as a Pro feature. The free plan costs nothing, is billed forever, and covers one repository and 10 pages per month with smart parsing and basic output. Starter costs $9 a month for three repositories and 50 pages per month, with custom themes, multi-language support and priority parsing. Pro costs $29 a month and includes unlimited repositories, 500 pages per month, API access, team collaboration and automatic push updates. The maker advises reviewing AI-generated documentation before use.