Setup
5 minutesInstall, validate, and inspect the system before you commit to it.
Documentation system
Your API docs are scattered. Fix that in one repo.
RepoDocs AI gives API teams one repository-based workflow for drafting, validating, and publishing documentation without stitching together templates, review steps, and publishing checks by hand.
What this is
Start with the product path, then inspect the repository internals.
Installation, the payments example, and the docs hub are the shortest way to judge whether RepoDocs AI is useful. GitHub is still there when you want to inspect the source assets in detail.
Proof
Payments exampleReview a realistic API doc set instead of guessing from homepage promises.
Quality
Built-in checksUse validation and review rules so documentation quality does not depend on memory.
Problem
Most API teams still document too slowly, too differently, and too late.
Teams can draft quickly, but they still struggle to keep format consistent, tie content back to the product contract, and publish docs that survive release pressure.
Approach
RepoDocs AI gives teams one practical system for drafting, checking, and publishing docs.
- Standardize how your APIs are documentedUse one documentation structure across services instead of letting each team invent its own format.
- Draft from source material, not guessworkGenerate from OpenAPI inputs, work from reusable templates, and keep reviewers anchored in the actual product contract.
- Ship docs that can survive product changeValidation, review workflows, and publishable examples help teams keep documentation useful after the first draft.
Why not just use Claude.ai or ChatGPT?
General-purpose AI gets you 80% of the way. RepoDocs AI owns the other 20%.
| What Claude.ai gives you | What RepoDocs AI adds |
|---|---|
| Generic text output | Document-type-specific structure enforced by templates and frontmatter schema |
| One-shot generation | Structured prompt packs for drafting and review with workflow-specific guardrails |
| No validation | Six validation scripts: frontmatter, structure, quality, OpenAPI alignment, version compatibility, coverage |
| No CI integration | GitHub Actions workflows for PR validation, Pages deployment, and OpenAPI regeneration |
| No publishable output | Export pipelines for Confluence, Google Docs, Notion, and PDF — plus GitHub Pages out of the box |
| No proof of output quality | Payments API example: 9 documents + OpenAPI spec you can inspect before committing |
Evaluate
Use the site the way a buyer would evaluate the product.
Install
Clone the repository, install dependencies, and run the validation path in a few minutes.
Inspect
Review the payments example, templates, and prompts to see the expected output quality.
Adapt
Copy the template packs into your own docs repository and tailor them to your APIs and workflows.
Publish
Use the same repository workflow for review, validation, and documentation publishing.
How to evaluate
Follow the shortest path from claim to proof.
Start with installation, inspect the payments reference, and review how validation works. That gives you enough evidence to decide whether RepoDocs AI is useful without reading every internal planning document.
A working payments API example
Start with the example output so you can judge whether the structure and quality match what your team needs.
Templates and prompts in the repo
Inspect the actual building blocks you would copy into your own documentation workflow.
Validation before publication
Run the repository checks to confirm the system enforces structure instead of relying on manual review alone.
Choose a starting point
Use the docs site to evaluate the product, and GitHub to inspect the working assets.
The public site now focuses on adoption and proof. GitHub remains the place to inspect the templates, examples, and automation that power the system.