How to write technical documentation and help docs with AI

By the end of this guide you will have a published set of technical documentation or help articles that were drafted with AI from your real sources (code, API specs, screen recordings or product notes), checked by someone who knows the product, and set up so they can be updated when the product changes. The AI does the first pass; accuracy and structure stay with you.

If you want to use AI for technical writing, the first question is what you are documenting. API references, code documentation, how-to videos and customer help centers each have a tool shape that fits. This guide compares seven tools from our Writing category and its neighbours so you can match the tool to the source material.

Key takeaways

• Pick the document type first, collect the source material, ask the AI for a draft, then have a person run every procedure before you publish.
• The main decision is where the facts come from: an API spec (Theneo), a code repository (DocuWriter.ai), a screen recording (Tutorial AI), or a wiki and help center (Confluence, KnowledgeBase).
• Free tiers exist, for example Mintlify's Starter for up to 5 editor seats, but AI features often sit on paid plans or run on credits.
• AI drafts can describe features that do not exist. Test each step against the real product before readers see it.

What you need before you start

• Source material. Code, an OpenAPI or similar spec, a screen recording, release notes, support tickets or notes from an engineer.
• A named reader. Developer, admin, end customer or new employee. The reader decides the level of detail.
• A place to publish. A docs site, a help center or an internal wiki.
• A reviewer. Someone who can follow your instructions on the real product.
• Time. Setup and a first draft fit in under a day. Verification and structure take longer for large products.
• Difficulty. Moderate. The tools are simple; deciding what to document and how to organise it is the harder work.
• Permissions. Connecting a repository or uploading internal material needs approval. Check what each vendor says about code and data use.

Which kind of AI tool fits this job

Choose by the type of document and where your facts live.

A docs platform with an AI writing agent. Mintlify hosts developer docs and API references stored as Markdown or MDX in your Git repository. On paid plans it adds an assistant for readers, a writing agent and automations that update docs. Documentation.AI has a Documentation Agent that drafts and edits pages as reviewable commits, with context from GitHub, GitLab, Jira and Confluence.

An API documentation generator. Theneo imports OpenAPI, Swagger, Postman, GraphQL and other specifications, and its AI drafts endpoint descriptions, examples and guides. Published docs include an interactive API explorer and an automated changelog.

A code-to-docs tool. DocuWriter.ai connects to GitHub, GitLab, Bitbucket or Azure DevOps and drafts code documentation, API references, a README and UML diagrams. Its Autopilot agent applies updates when code changes.

A tutorial and help-center tool. Tutorial AI turns screen recordings into video tutorials and written documentation with narration and captions. KnowledgeBase offers a public help center and an internal knowledge base (the internal one needs a LiveChat licence) with an AI article editor. Confluence is a team wiki where Rovo AI summarises pages and turns rough notes into drafts on Standard and above.

Step 1: Decide what you are documenting and for whom

A clear target keeps the draft focused.

1. Name the reader and what they want to achieve.
2. Choose the document type: a getting-started tutorial, a task-based how-to, a reference, or an explanation of concepts.
3. List the pages you need, in the order a new reader would need them.
4. Decide how you will measure success, such as fewer support questions.

Check it worked by being able to state each page's purpose in one sentence.

Step 2: Collect accurate source material

AI writes better when it has the truth in front of it.

1. Gather specs, code, recordings, changelogs and notes from the engineers.
2. Remove secrets such as keys, passwords and customer data from anything you will upload.
3. Note any known gaps and ask the engineer who owns that area to fill them.
4. For a how-to, record yourself or a colleague doing the task on the real product.

Check it worked by having a source for every procedure you plan to document.

Step 3: Choose a tool to write the documentation with AI

Match the tool to the source and the publishing plan.

1. For an API with a spec, look at Theneo, whose Starter package is free with 1 public project and up to 2 private projects.
2. For a codebase, look at DocuWriter.ai. It lists a 7-day Professional trial and says it does not store your code or use it for model training.
3. For product screens, look at Tutorial AI, which creates video and written steps from a recording.
4. For a docs site that lives in Git, compare Mintlify (Starter is free for up to 5 editor seats, with no AI assistant) and Documentation.AI (Starter at $0 forever).
5. For a help center, compare KnowledgeBase and Confluence.

Check it worked by choosing a tool and noting its AI limits, such as credits or page allowances.

Step 4: Generate first drafts

Let the AI produce a rough version of each page.

1. Connect or upload your source. DocuWriter.ai connects to repositories, Theneo imports specs, and Tutorial AI works from a recording.
2. Ask for the structure you chose in Step 1: short intro, prerequisites, numbered steps, expected results and troubleshooting.
3. Ask for plain language and consistent terms, and set any glossary or style rules the tool supports.
4. Generate the pages one at a time, so you can review each one.

Check it worked by reading the first draft and seeing each of your outline points covered.

Step 5: Verify every step and claim

This is the step that stops AI errors reaching readers.

1. Follow each procedure on the real product, exactly as written.
2. Check names of buttons, settings, parameters and endpoints against the product.
3. Remove or fix any feature, option or limit that the AI invented.
4. Ask the engineer or product owner to review technical statements.
5. Run code samples and API calls to make sure they work.

Check it worked by completing every task from the docs alone, without relying on prior knowledge.

Step 6: Edit for clarity and structure

Technical readers want to find answers fast.

1. Cut filler and put the key action at the start of each step.
2. Use consistent terms. Mintlify and Documentation.AI support docs as code, so you can search and replace across files.
3. Add short examples, expected output and warnings where mistakes are likely.
4. Organise navigation by task. KnowledgeBase lets you organise content by topic, keyword and visibility, and Confluence uses spaces, labels and hierarchy.

Check it worked by asking a new user to find an answer without help.

Step 7: Publish and keep the docs current

Documentation is only useful while it is correct.

1. Publish to your docs site, help center or wiki. Mintlify and Documentation.AI list custom domains, and KnowledgeBase supports a custom domain and password protection.
2. Turn on the update helpers your tool offers. Documentation.AI lists automation templates that update pages after merges, DocuWriter.ai has Autopilot, and Theneo generates a changelog.
3. Add a "was this helpful" or feedback method. KnowledgeBase shows article ratings and missed searches.
4. Assign an owner and a review date for each page.

Check it worked by changing a feature in a test branch or release and seeing the docs flagged for update.

Tools for this job compared

Tool	Good fit for	Pricing	Stated limits
Mintlify	Developer docs and API references in Git (web; self-hosting on Enterprise)	Freemium, paid from $450/mo (checked 24 Oct 2026)	Starter has 5 editor seats and no AI assistant; AI runs on credits, overage $0.01 per credit
Theneo	API reference docs from specs (web, API, VS Code extension)	Freemium, paid from $120/mo (checked 24 Oct 2026)	Starter: 1 public and up to 2 private projects; custom domain needs Business or above
Documentation.AI	Docs with an AI agent that commits changes (web)	Freemium, paid from $55/mo (checked 24 Oct 2026)	AI pauses when credits run out until the next 30-day cycle; Starter has 10,000 credits one time
DocuWriter.ai	Docs generated from source repositories (web, API, self-hosted)	Free trial, paid from $20/mo (checked 24 Oct 2026)	Each plan caps AI pages per month; payments generally non-refundable
Tutorial AI	Video tutorials and written steps from screen recordings	Free trial, paid from $18/mo (checked 24 Oct 2026)	Video generation capped by plan, for example 2 hours per year on Solo
KnowledgeBase	A public help center and internal wiki (web)	Free trial, paid from $49/mo (checked 24 Oct 2026)	Internal knowledge base needs a LiveChat licence; extra knowledge bases cost more
Confluence	A team wiki with Rovo AI on Standard and above (web)	Freemium, paid from $5.42/mo (checked 24 Oct 2026)	Free: up to 10 users and 2 GB storage; Free sites may be deactivated after inactivity

Prices and plan limits change, so confirm the current terms on each vendor's site before you subscribe.

Common mistakes to avoid

• Publishing unverified steps. AI can describe buttons, options and limits that do not exist. Fix it by following every procedure on the real product before publishing.
• Feeding the tool poor source material. Outdated specs produce outdated docs. Fix it by updating the source first and adding notes from the engineer who owns the feature.
• Uploading secrets or private data. Code and internal docs may include keys or customer details. Fix it by removing them first and reading each vendor's data statement.
• Documenting everything at the same depth. Readers need the common tasks first. Fix it by ordering pages by how often readers need them.
• Letting docs go stale. A draft is not a maintenance plan. Fix it by using update automation where available and assigning a named owner and review date.

How we put this together

This is an evidence-based guide built from each tool's listing in our directory, which is compiled from the vendor's own site and pricing page. It is not a review based on using the tools. We don't rank tools, and nobody paid to be included. Some outbound links may be affiliate links; see our disclosure.

Frequently asked questions

Is there a free way to write technical documentation with AI?

Partly. Mintlify's Starter plan is free for up to 5 editor seats but has no AI assistant, Theneo's Starter package is free, Documentation.AI's Starter is $0 forever with a one-time 10,000 AI credits, and Confluence has a Free plan for up to 10 users. Check the AI allowances before you commit.

Can AI write accurate technical documentation?

It can produce a good draft from real sources such as code, specs or recordings, but it can also state things that are wrong. A person who knows the product must run the steps and review the technical claims.

Can AI keep documentation up to date?

Some tools help. Documentation.AI lists automation templates that update pages after merges, DocuWriter.ai has an Autopilot agent that applies updates when code changes, and Mintlify lists automations on paid plans. A named owner should still review the changes.

Is it safe to give an AI tool my code?

It depends on the vendor. DocuWriter.ai says it does not store your code or use it for model training, and Documentation.AI says its agent's changes arrive as commits you review. Read each vendor's data terms and remove secrets before you connect a repository.

Compare more options in our Writing category.