OpenCode for Documentation and Technical Writing Teams

Documentation drifts. Every release changes function signatures, response shapes, or CLI flags, and the docs lag behind because engineers do not enjoy updating them. A terminal AI agent can help documentation teams find those gaps before they become user complaints.

We tested OpenCode on a docs update task: a TypeScript SDK had changed its authentication flow, and the guide needed new code examples. The agent read the source, read the existing doc, and produced a marked-up diff showing what to update.

The Doc Sync Workflow

The useful workflow is comparison, not generation. You point OpenCode at:

• The doc file you want to update
• The source files that implement the feature
• A short description of what changed in the release

Then ask: “What in this doc is now outdated compared to the source?” The agent returns a list of mismatches, often with proposed replacements. You review, edit for tone, and commit.

What It Handles Well

Three tasks produced good results:

• API reference updates. The agent compared function signatures in the source to the parameter tables in the docs and flagged renamed or removed fields.
• Code example refresh. It generated new examples that matched the current SDK, including imports and error handling.
• CLI flag updates. For a command-line tool, it read the parser definition and updated the --help documentation and usage examples.

The output still needed a human editor for tone, structure, and edge-case notes. But the agent did the part documentation teams dislike most: finding every place the code had changed.

Limits and Risks

The agent cannot judge whether a doc change is user-facing or internal-only. It will flag every signature change, including ones that do not matter to readers. You still need to decide what belongs in the docs.

It also struggles with narrative docs. A conceptual explanation of why a feature works a certain way is outside its scope. The agent is a fact-checker for reference docs, not a storyteller for guides.

When to Add It to the Docs Process

Documentation teams that maintain API references, SDK guides, or CLI manuals will get the most value. If your docs are mostly conceptual, the benefit is smaller. The sweet spot is a team that ships frequent releases and spends hours each sprint checking that examples still work.