AutomaDocs

AutomaDocs creates and updates documentation from GitHub repositories when code changes are pushed. It can produce README files, API references, function notes, architecture overviews, and getting-started guides, with hosted pages, Markdown export, and a REST API as output options. Its AI chat answers plain-language questions about a codebase and cites relevant files and functions. JavaScript, TypeScript, and Python get deep Tree-sitter parsing; Claude AI can analyze other languages directly. GitHub OAuth and webhooks connect repositories, and documentation can be used through MCP with Claude Code and Cursor. Users can edit pages, and the service says it retains and merges those edits during AI updates. Health scores show the percentage of functions with documentation: 80% or higher is green, while below 40% is red. Plans include a free option for one repository and 50 monthly chat messages; Pro is $39 a month, billed $470/year. Self-hosting is supported, though managed cloud is the default.

AutomaDocs combines generated repository documentation with codebase Q&A, update syncing, and editing. Its free plan is limited, while the listed Pro plan costs $39 a month, billed $470/year.

AutomaDocs is aimed at engineering managers and tech leads at small and mid-size product teams working in GitHub. It may suit teams that want generated documentation alongside codebase questions and automatic updates.

AutomaDocs is a GitHub-connected tool for generating and maintaining software documentation, with AI chat for questions about a codebase. It is best suited to engineering managers and tech leads at small and mid-size product teams that ship in GitHub. Its strongest case is keeping editable docs in step with code; its free tier and annual Pro commitment make it less compelling for occasional or very small-scale use.

Overview

AutomaDocs connects to GitHub through OAuth and webhooks, then generates documentation that refreshes when code changes are pushed. Teams can publish hosted pages, export Markdown, or use a REST API, giving them options beyond the hosted documentation site.

It covers README files, API references, function notes, architecture overviews, and getting-started guides. Its code chat answers plain-language questions and cites relevant files and functions, which can help teams explore a repository as well as document it. JavaScript, TypeScript, and Python receive deep Tree-sitter parsing; Claude AI can analyze other languages directly.

Key features

Generated pages can be edited, and AutomaDocs says it preserves and merges those changes when AI updates arrive. That makes it better suited to teams that want automation to assist an owned documentation set, rather than replace editorial review. MCP access also lets teams use its documentation with Claude Code and Cursor.

Documentation health scores show the share of functions with documentation. Scores of 80% or higher are green and those below 40% are red, providing a quick signal of coverage, though the score measures function documentation rather than overall doc quality.

Security measures include TLS, application-level ownership checks, webhook signature validation, and rate limiting. Repository content is processed by Anthropic Claude, with OpenAI potentially used if Claude is temporarily unavailable; subprocessors are not to use it for model training. Repository documentation and embeddings are removed within 24 hours of repository deletion, while account deletion removes associated data immediately. Self-hosting is supported through Docker Compose and setup scripts, but managed cloud is the default. Teams requiring a named third-party security certification should look elsewhere.

Pricing

The Free plan costs nothing and includes one repository, 50 AI chat messages/month, core documentation generation, GitHub integration, and automatic syncing on push. It is a useful way for an individual or small team to try the workflow, but one repository and a capped chat allowance are restrictive for broader use.

Pro costs $39 a month, billed $470/year. It raises the cap to 20 repositories, makes AI chat unlimited, and includes auto-sync plus full API and MCP access. It fits a product team with several repositories that needs regular codebase Q&A and integrations, but the annual billing is a material commitment compared with the monthly headline price.

Team costs $119 a month, billed $1430/year. It includes unlimited repositories, 10 team seats, custom documentation domains, SSO (SAML, OIDC), API access, audit logs, and unlimited AI chat. The extra controls and shared capacity make it the more appropriate tier for teams needing SSO or audit logs; 10 seats may not suit larger groups without another arrangement.

Custom has custom pricing, with annual invoicing available for volume or unusual procurement. It provides the same platform and features as Team, but no custom SLAs, so it is not a route to bespoke service guarantees.

Platforms

AutomaDocs is available on the web and through an API, with a self-hosted option. Self-hosting may suit teams that prefer to manage deployment themselves, though managed cloud remains the default. Support is self-serve, with email for bugs or billing; replies typically take a few business days, and there is no 24/7 phone line, SLA, or account manager.

Who it's for

Choose AutomaDocs if your team works in GitHub and wants generated documentation, push-triggered updates, and codebase answers in one workflow. It is less suitable for a single small repository with infrequent documentation needs, teams that require guaranteed support response times, or organizations that require a specific third-party certification.

Pros and cons

• Pro: Documentation updates when code is pushed, reducing the gap between repository changes and published docs.
• Pro: Editable pages, Markdown export, REST API, and MCP access give teams ways to review and reuse the output.
• Pro: Code chat cites relevant files and functions, making it useful for code discovery as well as writing.
• Con: Free is limited to one repository and 50 AI chat messages/month, which can constrain ongoing team use.
• Con: Pro is billed $470/year despite its $39 a month display, so the commitment is not just a monthly subscription.
• Con: Managed cloud is the default, and support lacks an SLA, account manager, and round-the-clock phone option.

Alternatives

For a broader comparison, browse AI Documentation Generators.

• Guidde is a better fit when the goal is creating how-to videos: its free plan includes up to 25 videos, web app capture, voiceover recording, and shareable links.
• GitBook may suit individual documentation publishing, with a free user, unlimited page views, and 10 GitBook Agent messages/week on its free plan.
• DeepDoc is an option for readers seeking a free, MIT-licensed tool with no account and no cloud; generation uses a chosen LLM, with costs depending on the model and documentation.
• Docframe may fit a low-cost publishing workflow: its free plan lacks AI editing and static site export, while Pro costs $5.99 a month billed monthly and includes 1,000 AI credits.
• Documentation.AI offers a free Starter plan with five editor seats, one documentation project, and 10,000 one-time AI credits; consider it when those project and seat allowances fit better.
• Fern may work for teams prioritizing a free hosted site with 10 team members, 1,000 pages, 250 AI credits per month, 2,000 page generations per month, and one site.
• Hyperdocs is another free option for a small documentation site, with one member, one docs site, 2,000 one-time Explore Credits, and a Hyperdocs badge.
• InkLoom is an alternative documentation tool.

Verdict

AutomaDocs is a strong match for small and mid-size GitHub product teams that want documentation to follow code changes and need codebase Q&A alongside it. The deciding advantage is the combination of push syncing, editable output, and repository-aware chat; the main reasons to look elsewhere are Free’s narrow limits, Pro’s annual cost, or a need for stronger support commitments or a specific certification.