How Mintlify Is Rebuilding Documentation for Coding Agents

Hey, guys. Here's your docs that are way better now on their website. Take a look. And that's when I realized the beauty of having failed so many times, which was in failing so many times and building so many ideas that didn't work, when something did, there was no mistaking it. That's very important to solve one problem correctly. And even right now, as we're experimenting and launching new products, we're we're hyper focused on getting one person who loves what we're building as opposed to a thousand people who are going to just feel meh about it. Still the small things that don't scale that really spark the customer love. The thing that goes the extra mile, if you will, is how we can do that things. Right? If you go the extra mile that in a way that people don't expect, you know, imagine. For most of the Internet's history, documentation has been an afterthought. Something you write after the product ships, something meant to explain what already exists. But what happens when the reader isn't human anymore? For decades, docs were written for people. They explained APIs, answered questions, and slowly drifted out of date as products evolved. That decay was accepted as normal because documentation was treated as reference material, not infrastructure. In the last few years, that assumption has broken. Coding agents, support bots, and internal AI tools now read documentation directly. Docs are no longer just explanatory, They're also operational input. When they're wrong or outdated, systems break. This creates attention. Documentation matters more than ever, but keeping it accurate has always been one of the hardest problems in software. Static docs don't survive fast moving products, especially in an agent driven world. In this episode, we explain how documentation is changing, why static dogs are failing, and what it would take to build documentation that stays reliable as software evolves. Our guests are Hanh Wang and Hanh Bi Li, cofounders of Mitlify, joined by a 16 z general partner, Jennifer Li, and a 16 z partner, Yoko Li. I'll start the podcast with with this question. Given you're at the center of seeing how agent has seen packet coding because you're building a documentation product that's serving all the developer tools, the most popular ones, how have you seen the transition from the starting point of building Mellify to what a role of a coding agent plays now? I mean, it's so different now. Right? I think and it's and it speaks a lot to even how much has changed in such a short amount of time. Right? I remember when Hanby and I, you know, decided we kinda wanted to embark the journey of wanting to go build something that helps developers. Right? The first thing that came to our mind, this was, like, to paint the picture, like, early twenty four late twenty three, early twenty four. We were just like, let's go build something that could impact developers, help …