Augment Code puts your team’s collective knowledge — codebase, documentation, and dependencies — at your fingertips via chat, code completions, and suggested edits. 

Get up to speed, stay in the flow and get more done. Lightning fast and highly secure, Augment works in your favorite IDEs and Slack.

Augment Code

Every AI coding tool claims deep codebase understanding. But the moment you switch from Cursor to Claude Code, or from Zed to GitHub Copilot, context gathering can be slow, expensive and inaccurate across agents with subpar context retrieval methods.

**The bottleneck isn't the AI model. It's the context infrastructure.**

Today, Augment Code is solving this with Context Engine MCP, bringing our proprietary semantic indexing and deep codebase understanding to every major AI coding tool through the Model Context Protocol. One setup. Universal context. Across Claude Code, Cursor, Zed, GitHub Copilot, and 10+ other agents.

**We tested 300+ real PRs from an enterprise codebase:**

*   Claude Code: +80% improvement, +41% higher pass rate
*   Cursor: +71% improvement
*   Kiro: +12% improvement

One install. Every agent gets smarter. Join the Augment Code team where we'll demonstrate how Context Engine MCP works, why it outperforms naive indexing approaches, and how to integrate it into your existing AI coding workflows in minutes.

## **In this session, you'll discover:**

*   A live demonstration showing Context Engine MCP working seamlessly across popular AI tools: same deep context, different interfaces
*   Real integration workflows: How to connect Context Engine MCP to your toolchain in minutes, not days, and a breakdown of implementation strategies, such as when to use a local vs. remote MCP server
*   What makes context universal: How the Context Engine maintains consistency across tools, and the infrastructure decisions that enable this to work at enterprise scale

Whether you're using multiple AI coding tools, evaluating context-aware solutions, or building internal developer platforms, this session will show you how universal context infrastructure changes what's possible with AI-assisted development.

Register now to be among the first to integrate Context Engine MCP into your workflow.
