How Mintlify Is Rebuilding Documentation for Coding Agents
Friday, 23 January 2026 · 2 min read · Listen to the episode ↗
The podcast discusses Mintlify's efforts to enhance software documentation for coding agents and AI, addressing challenges around customization and user needs. Co-founder Han Wang reflects on the evolution of documentation, the significance of self-updating content, and the transition towards broader knowledge management solutions. The conversation also touches on user expectations shaped by AI advancements, as well as insights gained from collaborating with major tech clients like Microsoft and Coinbase.
The podcast explores the evolution of documentation in software development, emphasizing its transition from a tool for human readers to a resource for coding agents and AI tools. Han Wang, co-founder of Mintlify, discusses their journey to enhance documentation for developers, adapting to rapid changes in developer expectations and the industry's landscape. Hanbi Li shares the challenges faced during development, highlighting the need for customization in documentation solutions based on personal experiences.
The co-founders initially hesitated to pursue their idea due to established competitors but found validation in user dissatisfaction with existing solutions. Their first product prototype, Melify, was developed quickly to gather feedback, which was crucial for refining their offering. The conversation underscores the importance of learning from failures and understanding user needs, particularly as AI agents increasingly rely on accurate documentation.
Mintlify plays a significant role in this evolving landscape, providing insights into customer usage and expanding its services to include help centers and internal documentation. The company aims to transition from a documentation-focused approach to broader knowledge management solutions, with a focus on optimizing the user experience for larger companies.
The rise of "vibe coding" and familiarity with markdown is noted, as non-developers increasingly use cloud code for creative tasks. The need for practical features like self-updating documentation is emphasized, as outdated documentation poses challenges for organizations. Advancements in AI models have made self-updating documentation more feasible, addressing the long-standing issue of outdated content.
The discussion highlights the importance of content quality over aesthetics, with users expecting easier access to documentation through chat interfaces. The roles of content viewers and authors are being re-imagined, raising questions about the future of human communication in this context. Engaging with high-caliber clients like Anthropic, Microsoft, and Coinbase has fostered a responsive approach, providing valuable insights that influence product development.
The speaker reflects on their growth over the past three years, emphasizing the importance of diverse interactions and the new challenges that have emerged. They express enthusiasm for expanding their viewpoint and creating solutions that enhance documentation for coding agents, while also highlighting the addition of customer support and the challenges that come with it.
This summary was generated from the episode transcript and can contain mistakes.