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What three years of watching AI in production taught us

Mintlify

Learn what three years of watching AI in production taught us about the knowledge layer and why that realization led us to join Mintlify.

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BlogsHow often do LLMs visit llms.txt?Mintlify BlogsIntroducing AI Assistant: Turning docs into your product expertMintlify BlogsDebugging a mysterious HTTP streaming issueMintlify BlogsGEO guide to optimize writing for LLMsMintlify BlogsTerminal agents are the future - We're launching mint newMintlify BlogsBehind Replit's Documentation TransformationMintlify BlogsHow VMware’s Tanzu Developer Center boosted users 300% with NetlifyNetlify BlogsAI Working for You: MCP, Canvas, and Agentic Workflows - Part 2Honeycomb BlogsUsing GitHub Copilot to Speed Up Your Development WorkflowHoneycomb Blogs15 Best AI Observability Tools for Production Teams in 2026Honeycomb BlogsInstrumenting AI Agents for the Agent Timeline: A Practical OpenTelemetry GuideHoneycomb BlogsError Analysis in Honeycomb for Frontend Observability Now in Public BetaHoneycomb BlogsYour Questions About AI Agents and Production Feedback AnsweredHoneycomb BlogsInside Bitso’s Branch-Based Workflow - NeonNeon BlogsAgentuity: A Cloud Where Agents Can Actually Build - NeonNeon BlogsCreate Environments with Masked Production Data Using Neon Branches - NeonNeon BlogsDeploying multiple schema changes at oncePlanetscale BlogsNon-Blocking Schema ChangesPlanetscale BlogsReplicate my *entire* production database? You must be mad!Turso BlogsIntroducing Replit Agent 4: Built for CreativityReplit