# Docs as an abstraction layer for coding agents

DevFeed: [Docs as an abstraction layer for coding agents](<https://devfeed.tech/articles/docs-as-an-abstraction-layer-for-coding-agents-31098.md>)

Original publisher: [Read original article](<https://www.mintlify.com/blog/structured-docs-coding-agents>)

Author: Han Wang

Published: 2026-06-08T00:00:00Z

Content type: article

Language: en

Sources: [Mintlify Blog](<https://devfeed.tech/sources/mintlify-blog.md>)

Topics: [Documentation](<https://devfeed.tech/topics/documentation.md>), [AI-assisted coding](<https://devfeed.tech/topics/ai-assisted-coding.md>), [Claude Code](<https://devfeed.tech/topics/claude-code.md>), [Model Context Protocol (MCP)](<https://devfeed.tech/topics/model-context-protocol-mcp.md>), [Development](<https://devfeed.tech/topics/development.md>)

Tags: [ai-coding-agents](<https://devfeed.tech/tags/ai-coding-agents.md>), [ai-trends](<https://devfeed.tech/tags/ai-trends.md>), [claude](<https://devfeed.tech/tags/claude.md>), [claude-code](<https://devfeed.tech/tags/claude-code.md>), [coding-agents](<https://devfeed.tech/tags/coding-agents.md>), [docs](<https://devfeed.tech/tags/docs.md>), [mcp](<https://devfeed.tech/tags/mcp.md>), [performance](<https://devfeed.tech/tags/performance.md>), [tokens](<https://devfeed.tech/tags/tokens.md>)

## AI overview

The article describes controlled experiments testing structured Mintlify documentation as an abstraction layer for coding agents working in large codebases. It reports more precise answers, better discoverability, lower token consumption, and faster task completion than a no-docs baseline.

## Source excerpt

A large engineering org ran controlled experiments to measure how structured Mintlify docs affect agent performance on massive codebases. The results: 64% more precise, 39% more discoverable, half the tokens, 1.5x faster.