Your wiki is becoming a codebase

Mintlify argues that traditional company wikis become unreliable because pages are rarely maintained as products, teams, and strategies change, a problem made more significant as AI agents increasingly rely on written information to answer questions and guide work. The company contends that search, summaries, and AI connectors improve access to knowledge but do not ensure its accuracy, and proposes treating organizational knowledge like software code through Git-based files, version histories, reviewable changes, structured documentation, and agent-assisted updates. It reports that, in a controlled test with a large engineering team, structured documentation improved agent answer precision by 64% while roughly halving token use compared with raw code. Mintlify envisions agents acting as writing copilots and ongoing maintainers that identify outdated or contradictory information and draft revisions for human approval. To support this approach, it has launched Mintlify Base in beta, a workspace it says it has internally tested across nearly 1,000 pages for people and agents to share and maintain specifications, runbooks, onboarding materials, and other company knowledge.

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