Blog

June 8, 2026 · 5 min readDocs as an abstraction layer for coding agents

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.

HW

Han Wang

Co-Founder

Best PracticesJune 25, 2026
How Claude Code's documentation team makes feedback actionable with Mintlify

Anthropic's Technical Content Engineer for Claude Code shares how she uses Mintlify and Claude to automate documentation improvements from user feedback.

Best PracticesJune 4, 2026
Your documentation is a demand channel

Documentation is often the highest-traffic, highest-intent surface in your entire funnel. It's the first place a buyer visits before trying your product. It's where agents surface and push your product to prospects.

AI TrendsJune 3, 2026
Markdown is the easy part

Mintlify might look like a Markdown hosting service from the outside. But the build versus buy question for content infrastructure goes much deeper than rendering Markdown.

AI TrendsMay 25, 2026
Tokenmaxxing: one AI budget, four jobs

Every company is now paying for AI tokens, but few can draw a clean line from that spend to business outcomes. Here's a framework that maps AI Credits to the P&L categories finance teams already understand.

May 4, 2026
22 UX improvements to the web editor

A round-up of the UX improvements coming to Mintlify's web editor.

AnnouncementsMay 1, 2026
Introducing the Mintlify Help Center Starter Kit

Help centers are the first line of defense for customer support. The new Mintlify Help Center starter kit and AI ticket deflection make it faster than ever to launch one.

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