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Phase 18

Documentation Agent

~3 min read

Concept & How It Works

    Why Does It Exist?

    Docs drift from code within weeks. Agents can diff code against docs on every PR and propose updates, turning documentation from a quarterly chore into a continuous process.

    Real-World Analogy

    A technical writer who pair-programs with every PR — not someone rewriting the manual from memory once a year.
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    Visual Workflows

    What is Documentation Agent?

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    Example

    Scenario

    After a PR adds `POST /v2/refunds`, the doc agent updates the API reference with request/response schemas, adds a changelog entry, and flags the old `/v1/refunds` page as deprecated.

    Solution

    In Coding Agents, apply Documentation Agent to this scenario: After a PR adds `POST /v2/refunds`, the doc agent updates the API reference with request/response schemas, adds a changelog entry, and flags the old `/v1/refunds` page as deprecated. Identify the inputs, run the technique, validate the output, and note one thing you would monitor in production.

    Practice Task

    Do this before moving to the next module — reading alone is not enough.

    Open the Code Walkthrough below and run it locally. Change one parameter related to Documentation Agent (e.g. model, temperature, top_k, or tool name), observe the difference in output, and write 2–3 sentences explaining what changed.

    Code Walkthrough

    Highlighted lines show where Documentation Agent happens in the code.

    Documentation Agent
    1async function syncDocsFromPR(prDiff) {2  const apiChanges = extractAPIChanges(prDiff);3  if (apiChanges.length === 0) return;4  const updates = await docWriter.generate({5    changes: apiChanges,6    styleGuide: await loadStyleGuide(),7    templates: ["api-reference", "changelog"],8  });9  await github.createPR({10    branch: "docs/sync-" + prDiff.number,11    title: "docs: update API reference for PR #" + prDiff.number,12    files: updates,13  });14}

    Commands to Remember

    Commands to Remember

    • pip install openai # code generation and review
    • gh pr create # open a pull request from agent output

    Common Mistakes

    • Treating Documentation Agent as a black box without evaluation
    • Ignoring cost and latency in production
    • Skipping error handling for documentation agent

    Cheat Sheet

    Quick recap — the most important points from this module.

    Cheat Sheet

    quick ref
    • Documentation Agent
    • Docs-as-Code
    • API Extraction
    • Changelog