The AI documentation agent that reads your product — then writes, edits, and maintains your docs.
Docs Agent is not a writing assistant. It reads your GitHub repository and existing documentation, then writes new articles, updates outdated content, and makes bulk edits across your entire documentation — through a single conversation.
Every feature your team ships creates a documentation gap. Docs Agent closes it.
Writing and maintaining documentation manually doesn't scale with a product that ships every week. Here's why teams end up with outdated, incomplete, and inconsistent documentation.
The Blank Page Problem
Every new feature needs documentation. Someone has to open a blank page, understand the feature deeply enough to explain it, and write clearly for users — while also building the next feature. That's a lot to ask simultaneously.
The Maintenance Problem
Existing docs get outdated with every release. Terminology changes. URLs break. Features evolve. Keeping documentation current manually doesn't scale beyond a certain team size or shipping velocity — and debt accumulates silently.
The Knowledge Gap
The developer who knows the feature best rarely writes the docs. The person who writes the docs doesn't always know the feature deeply. Docs Agent bridges that gap — by reading the code itself before writing a single word.
"The most expensive documentation problem isn't the tool you pay for. It's the documentation that never gets written because writing it requires knowing your product deeply and having time simultaneously."
— The reality every SaaS founder knowsDescribe what you want. Docs Agent researches your product and writes it.
Connect your sources
Docs Agent reads two sources — your existing Hyperdocs documentation and your connected GitHub repository. Full product context before writing a single word.
Describe what you need
Tell Docs Agent what you want in plain language. Document a feature, write a getting started guide, update all mentions of an old product name, or replace URLs across the entire help center.
Docs Agent researches and drafts
Docs Agent reads your codebase and existing docs, understands the feature or task, and writes a structured draft — accurate, product-specific, and ready for review.
Review and publish
Your team reads the draft, makes any edits, and publishes — directly inside Hyperdocs. From request to published documentation in one place.
Four documentation workflows SaaS teams do most — built as one-click actions.
These aren't random AI features. They represent the four most common documentation tasks a growing SaaS team faces — each built as a dedicated, codebase-aware workflow.
Document a feature
Docs Agent reads the codebase to understand how a feature actually works — the logic, the parameters, the edge cases — then writes accurate documentation for it. Not a description of what the feature should do. What it does.
Getting started guide
Creates a comprehensive onboarding guide built around your actual product flow — not a generic template. New users get a structured path from zero to their first value moment, based on what your product actually does.
Update terminology
Your product name changed. A feature got renamed. A deprecated term is still scattered across 40 articles. Tell Docs Agent what to update and it finds every instance across your entire documentation and replaces it consistently.
Update URLs
You restructured your documentation. Old URLs are now broken links in dozens of help articles — affecting both user experience and SEO. Docs Agent finds every instance and updates them in one instruction.
Not just a generator. A documentation agent you have a conversation with.
Most AI tools generate content once and stop. Docs Agent works the way a technical writer does — you give direction, it drafts, you give feedback, it refines. Create new articles, modify existing ones, and make bulk edits across your workspace — all through a single ongoing conversation.
Generate new articles
Write completely new documentation pages from scratch — based on your codebase context and existing docs structure.
Modify existing content
Ask Docs Agent to update a specific section, rewrite for clarity, change tone, or add missing information to any existing article.
Bulk edits in one conversation
Rename a feature across 50 articles. Replace all old URLs. Update your brand name everywhere. One instruction — done across your entire workspace.
Iterate through feedback
Not happy with the draft? Tell Docs Agent what to change. It refines until the content matches exactly what you need — no starting over.
Ready to apply changes to all 34 articles — want me to proceed?
For the getting started guide — I'm reading the recent commits from last Tuesday. Found the dashboard layout changes in dashboard.tsx. Updating the guide now with the new navigation structure and updated screenshots references.
Docs Agent writes accurately because it reads your product first.
Most AI writers start from a blank slate. Docs Agent starts from your entire product context — then writes.
Your GitHub Repository
Docs Agent connects to your repository and reads your codebase. When it documents a feature — it describes what the code actually does, not what it thinks it might do.
- Reads feature code to understand functionality
- Understands API endpoints and parameters
- Follows your actual product architecture
- Stays accurate as code evolves
Your Existing Documentation
Docs Agent reads your current Hyperdocs documentation before writing anything new — so new content matches your established tone, terminology, and structure.
- Matches your existing writing style
- Uses your established terminology
- Avoids duplicating existing content
- Builds on what is already published
GitHub repo + existing docs together = documentation that is accurate to your product and consistent with your style. Neither source alone delivers both.
Not a writing assistant. An AI documentation agent that understands your product.
Comparison based on general product capabilities. Individual tools and plans may vary.
Stop writing documentation from scratch.
Connect your GitHub repo. Describe what you need. Docs Agent researches your product and writes the first draft. Your team reviews and publishes.
Every SaaS documentation scenario Docs Agent handles better than starting manually.
New feature launch
Your team just shipped a major feature. It needs documentation before users start asking questions. Docs Agent reads the code, writes the documentation, your team reviews and publishes — before the announcement goes out.
First documentation
Starting from zero? Connect your GitHub repo and Docs Agent generates your first structured documentation — product docs, getting started guide, API reference — from your actual codebase. Not a template. Your product.
Rebrand or rename
Your product name changed. A feature got renamed. Docs Agent finds every outdated mention across all your documentation and updates it consistently — terminology, URLs, and descriptions — in one conversation.
Onboarding documentation
New users struggle to activate because getting started docs are incomplete. Docs Agent creates a comprehensive onboarding guide built around your actual product flow — not a generic template.
Documentation debt cleanup
Your docs are six months behind your product. Docs Agent works through your backlog — feature by feature — drafting accurate updates your team reviews and publishes to close the gap systematically.
Help center expansion
Users keep asking the same questions your help center doesn't answer. Docs Agent writes the missing articles — informed by your product context and existing documentation structure.
Post-release update
A release changed three features and broke two URL structures. Tell Docs Agent what shipped — it reads the diff, identifies what needs updating, and drafts all the changes in one workflow.
Docs Agent is one part of a complete documentation intelligence system.
Docs Agent writes. But documentation also needs to stay current, answer users, and surface its own gaps. Hyperdocs is built for all of it.
AI Documentation Generator
Connect your GitHub repo and generate your first complete documentation set from your codebase.
LiveGitHub Sync
Detects code changes after every PR, identifies affected docs, and drafts the updates for team review.
LiveDocs Agent
Writes, updates, and bulk edits documentation through natural conversation — grounded in your product.
You are hereAnswer Agent
Users ask questions inside your docs and get live AI answers — reducing support tickets automatically.
LiveDocs Agent writes. GitHub Sync maintains. Answer Agent answers. Together — documentation that operates itself.
Docs Agent runs on AI credits — included in every Hyperdocs plan.
What are AI credits
AI credits measure Docs Agent usage. Each documentation task — writing an article, making bulk edits, updating terminology — uses a set number of credits. Free plan includes 2,000 credits per cycle.
What uses credits
Every Docs Agent generation and editing task uses credits. Writing new articles, bulk editing existing ones, updating terminology at scale — each task is powered by AI credits that reset each billing cycle.
When you need more
As your team actively creates and maintains documentation, credit usage grows naturally. Paid plans include significantly more credits. Higher plans include more still — scaling with your documentation output.
Questions about Docs Agent
What is Docs Agent?
Docs Agent is an AI documentation agent inside Hyperdocs that reads your GitHub repository and existing documentation, then writes new articles, updates existing content, and makes bulk edits across your workspace — through natural conversation. It acts as an AI technical writer that understands your product before writing about it.
How is Docs Agent different from ChatGPT or other AI writers?
Generic AI writers generate content from prompts alone — they have no knowledge of your product. Docs Agent reads your actual codebase and existing documentation before writing anything. The output is product-specific, accurate, and grounded in how your product actually works — not how a language model imagines it might work. It also lives inside your documentation workspace with a built-in review and publish flow.
Can Docs Agent update and modify existing documentation — not just create new content?
Yes. Docs Agent can modify existing articles, rewrite sections for clarity, update terminology across your entire help center, replace URLs at scale, and apply bulk edits across multiple articles through a single conversational instruction. This is one of its most used capabilities — acting as a technical writer handling large-scale documentation maintenance tasks.
What sources does Docs Agent read?
Docs Agent reads two sources — your connected GitHub repository and your existing Hyperdocs documentation. Together these give it full product context before drafting or editing any content. You can also use Docs Agent with just your existing docs if you haven't connected a GitHub repository yet.
Does Docs Agent publish content automatically?
No. Docs Agent always creates drafts. Your team reviews, edits if needed, and publishes manually — directly inside Hyperdocs. Nothing goes live without explicit team approval. This keeps your documentation accurate and fully under your control.
Can I use Docs Agent for bulk edits across many articles?
Yes. You can instruct Docs Agent to update terminology, replace URLs, rewrite sections, or apply changes across multiple articles in a single conversation. For example — rename a feature across 50 help center articles, or update all instances of an old URL across your entire documentation workspace — in one instruction.
What are AI credits and how many do I get?
AI credits measure Docs Agent usage. Each generation or editing task uses credits. The free plan includes 2,000 credits per cycle. Paid plans include more credits that reset each billing cycle. You can see current credit limits and plan details on the Hyperdocs pricing page.
How does Docs Agent fit into the rest of Hyperdocs?
Docs Agent is one part of the Hyperdocs documentation intelligence system. Docs Agent writes and edits documentation. GitHub Sync detects when existing docs need updating after code changes and drafts the updates. Answer Agent answers users live from your published documentation. Together they form a complete system where documentation creates itself, stays current, and serves your users — without manual maintenance after every release.
Stop writing documentation from scratch.
Let Docs Agent write from your product.
Connect your GitHub repository. Describe what you need. Docs Agent researches your product and writes the first draft. Your team reviews and publishes. Documentation that actually describes your product — without the blank page.