Coding agents use documentation more reliably when important tasks have canonical pages, prerequisites and commands are explicit, examples run, errors have named recovery paths, and a machine-readable index points to current sources.
Strengthen the human path first
An agent cannot repair a documentation path that depends on unstated team knowledge. The priority remains the same as it is for a new developer: supported versions, installation commands, authentication setup, complete examples, expected results, and failure recovery need canonical homes. Machine-oriented files can improve discovery, but they cannot supply missing product facts.
Every important page should state its scope and version, use stable headings, expose canonical URLs, and link to the underlying reference where exact fields live. Deprecated pages should redirect or declare their status. When several pages repeat the same limit or setup step, an agent may retrieve the stale copy, so one source should own each consequential fact.
Expose the canonical map to machines
The llms.txt proposal describes a simple Markdown index that helps language models find important site content. A documentation site can use that file to identify the quickstarts, task guides, references, troubleshooting paths, and version policy that deserve priority. The file should be generated from the approved information architecture so it cannot drift independently.
Sitemaps and internal links remain useful because different crawlers and retrieval systems use different discovery paths. Machine-readable indexes should point to public canonical pages and avoid private URLs, credentials, or text assembled solely to influence a model. The public content should tell the same truth regardless of whether a person or an agent reads it.
Test answers through completed tasks
Testing should ask an agent in a clean environment to complete a bounded task and cite the pages used. The record distinguishes retrieval failure, missing instruction, incorrect example, unsupported environment, and product failure. A finished repair includes the corrected page and a rerun that reaches the expected result without private hints.
Reality Contact, LLC can rebuild the task paths, produce the index and crawler surfaces, and install answer checks. The buyer owns the product facts, public sources, release approval, and access policy. No test can establish that every model or search system will retrieve or cite a page, so the acceptance record stays tied to the exercised tasks.
Where the service stops
Reality Contact, LLC rebuilds and tests buyer-approved documentation, but does not define undocumented product behavior, access private customer data without authorization, approve technical claims, or publish under the buyer's authority. The buyer approves product facts and task priorities, publishes the rebuilt paths, and applies the regression checklist to each relevant product release. This is documentation engineering and technical testing, and it does not replace legal, security, privacy, accessibility, or professional advice. The buyer owns product facts, credentials, source rights, technical approval, supported-version policy, and every publication decision.
Sources: llms.txt proposal; Sitemaps protocol.