Mintlify + Claude Opus 4.6: Powering AI-native knowledge management

We got an early look at Claude Opus 4.6, and ran it against our internal benchmarks for the Mintlify assistant.

The most interesting thing we found was that responses were about 20% more concise compared to other models. That's a big deal because when you’re debugging an integration at 2 AM, the last thing you need are rambling paragraphs. Plus, with better tool calling and deeper code understanding, our assistant can dig through docs more thoroughly and explain things more clearly.

Why AI matters for knowledge management

Models like Opus 4.6, built for complex, agentic workflows, are a great fit for our knowledge management infrastructure. According to Anthropic, this model excels across the entire software development lifecycle, from identifying complex bugs to producing production-ready documents and spreadsheets on the first pass.

For Mintlify, this means our AI-powered platform can handle even more sophisticated queries and maintain information with greater accuracy and contextual understanding.

How we're using Opus 4.6 at Mintlify

We currently use Claude across two main areas of our platform, and we’ll be testing Opus 4.6 in both.

1. Customer-facing AI assistant

Mintlify sites come with a conversational AI assistant that helps end users find information, understand APIs, and troubleshoot issues. With Opus 4.6, we're seeing improvements in:

• 20% more concise responses: Developers get the information they need without wading through unnecessary context. When you're debugging an integration, every second counts.
• Improved tool calling and code understanding: Better search capabilities mean the assistant can find relevant information across your documentation more thoroughly and effectively, even when queries are ambiguous or complex.
• Enhanced bug identification: Opus 4.6's deeper ability to identify complex bugs means our assistant can better help developers troubleshoot integration issues.
• Extended context handling: The new 1M context window (up from previous limits) allows our assistant to understand even larger documentation codebases and API references in a single request.

For example, when a developer asks a complex question like "How do I set up authentication with SSO, customize the user profile page, and handle session timeout errors?", Opus 4.6 can break down this multi-part question with even greater precision and provide more accurate, actionable answers.

2. Agent with automated suggestions

The Mintlify agent continuously monitors customers' code repositories and documentation, detecting drift and automatically generating pull requests with suggested updates. We’re expecting to see:

• Better code analysis: The model's enhanced coding capabilities mean more accurate detection of API changes and their documentation implications.
• Production-ready output: With Opus 4.6 producing "near-production-ready documents on the first pass," our agent can generate higher-quality documentation updates with fewer revisions needed.

The increased 128k max token limit also allows us to process larger codebases and documentation sets in a single operation, reducing the need for chunking and improving overall coherence.

What this means for Mintlify customers

If you're using Mintlify's AI assistant, you'll automatically benefit from these Opus 4.6 improvements. Starting today, you should notice:

• More accurate answers to complex, multi-step questions
• More concise answers to all questions

Get started

Ready to experience AI-native documentation? Get started with Mintlify's AI assistant and automated agent or reach out to our team for a demo.