AI can speed up a first draft of WordPress project documentation, but it cannot verify that the draft matches your code. Use it to outline a README, explain a function, draft comments, or reorganize notes; then check every technical claim against the implementation and official references before sharing. For contributions to WordPress itself, contributors remain responsible for their work and should disclose meaningful AI use in a pull request or Trac ticket.
Where AI helps with WordPress documentation
For a plugin, theme, site, or other maintained project, an AI assistant can turn verified project notes into a starting draft. Useful tasks include:
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- Drafting or restructuring README sections and setup instructions.
- Explaining a function or code path in plain language for a human to edit.
- Proposing inline comments, test cases, or a documentation outline.
- Organizing existing notes into a clearer guide for the intended audience.
WordPress’s AI Guidelines explicitly allow assistance with inline documentation and comments, as well as code and tests, when the contributor understands and validates the result. They warn against fabricated references and documentation that does not reflect the implementation. There is no official WordPress statistic establishing a productivity percentage for AI-assisted documentation, so treat its value as a workflow aid rather than a guaranteed time saving.
Give the assistant project facts, not guesses
Before drafting, assemble the details the documentation must get right. Include the project name and purpose, intended reader, relevant code paths, supported WordPress and PHP versions, dependencies, and the format or section you want drafted. Ask the assistant to work only from those supplied facts and to flag missing information rather than inventing it.
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This context helps produce a more useful draft, but it is not proof. Verify every API, function, hook, option, version requirement, link, and behavior statement against the source code or an official reference. If the implementation does not do something the draft claims, revise or remove the claim.
Choose a workflow that fits the task
| Workflow | Best fit | What to account for |
|---|---|---|
| General AI assistant | Drafting project-specific documentation from verified context, such as README text, setup steps, or explanations for a reviewer. | You supply the project facts and verify the output. Do not assume it has inspected your code or knows the current behavior. |
| WordPress AI plugin and Connectors | Selected content-generation tasks in the WordPress editor, including featured images, alt text, titles, and excerpts. | A valid AI connector is required. The documented Connectors screen lists featured Anthropic, Google, and OpenAI connectors; availability may differ across installations and versions. |
The WordPress Settings > Connectors screen documentation describes the plugin for those editor tasks; it is not a general guarantee that every WordPress installation includes the same options. API keys saved through this screen are stored in the database. The interface masks them, but they are not encrypted. If you do not want keys stored there, the documentation says you can define them as environment variables or PHP constants.
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Check AI-written documentation before sharing
- Open every generated link. Confirm it resolves and supports the statement beside it.
- Compare names with the code. Check every function, hook, option, class, and file path against the actual project.
- Confirm the documented behavior. Follow the relevant code path and remove claims about features or side effects the implementation does not provide.
- Test setup instructions. Where practical, follow them on the WordPress and PHP versions the documentation says are supported.
- Run relevant tests for code changes. Documentation describing a changed feature should reflect the behavior exercised by those tests.
- Request human review for high-impact material. A second contributor can catch misleading instructions or omissions that an AI draft and its author miss.
For contributions to the WordPress project, the guidelines state: “You are responsible for your contributions.” They also say AI cannot be the sole reviewer for project code; human review is required for acceptance. These are contribution requirements for WordPress itself, not a universal policy for every privately maintained site.
Disclose AI use when contributing to WordPress
If AI meaningfully contributed to a WordPress project contribution, disclose that use in the pull request description and/or a Trac ticket comment. The guidelines say trivial assistance—for example, a variable-name suggestion or import reordering—does not require disclosure. Follow the project guidance rather than treating this as a blanket legal rule for all WordPress projects.
Keep licensing and privacy in the documentation workflow
For contributions to WordPress, the AI Guidelines require compatibility with GPLv2 or later for contributions, including documentation and non-code assets. Do not use a tool whose terms forbid GPL-compatible licensing of its output or add redistribution restrictions. Preserve existing license headers and attribution; AI should not be used to disguise material whose licensing is incompatible.
If you maintain a plugin, document its data collection and use accurately. WordPress’s Detailed Plugin Guidelines recommend including this information in the plugin readme, preferably with a clearly stated privacy policy. Describe what the plugin actually collects and how it uses that data rather than relying on a generic AI-generated privacy paragraph.
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Try demonstrations in WordPress Playground
WordPress Playground is a browser-based environment for trying WordPress configurations, blocks, themes, plugins, and WordPress/PHP versions. Its documentation also describes an AI-agent workflow. Playground runs client-side in WebAssembly, requires no authentication or backend, and is isolated from persistent side effects outside its sandbox. That makes it useful for experiments and demonstrations, not a substitute for validating documentation in the environment your readers actually use.
Use the WordPress.org MCP Server for specific plugin tasks
The WordPress.org MCP Server documentation describes compatible AI tools that can access plugin guidelines and perform tasks such as validating a readme, retrieving submission status, and submitting a plugin for review. The documented prerequisites include Node.js version 18 or later. The server does not waive ordinary plugin guidelines or review: developers remain responsible for AI-produced work.
These tools serve different needs: Playground is for trying WordPress environments and workflows, while the MCP Server connects compatible AI tools to specified WordPress.org plugin resources and actions. Neither makes an inaccurate draft safe to publish.
Expect WordPress AI tooling to change
The WordPress AI Handbook lists projects such as the Abilities API, MCP Adapter, PHP AI Client, WP AI Client, AI Experiments Plugin, WP Bench, and Agent Skills. The list is a view of evolving work, not a promise that every project is a stable, end-user feature. Check the current documentation for a tool’s status and capabilities before depending on it.
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