Kawa FAQs

Question 1

Can Kawa track architectural decisions and link them to code?

Accepted Answer

Yes, Kawa allows you to record architectural decisions with rationale, trade-offs, and constraint validation. It also integrates with your commit history, linking specific code changes to the underlying development intent and associated decisions for better traceability.

Question 2

How does Kawa help AI coding assistants work better?

Accepted Answer

Kawa provides persistent reasoning context, tracks your development intents, and records architectural decisions. This allows AI assistants to understand 'what you're working on,' make more relevant suggestions, and maintain continuity across multiple coding sessions.

Question 3

Which AI coding tools are compatible with Kawa?

Accepted Answer

Kawa is designed to integrate with popular AI code generators and environments such as Claude Code and Cursor AI, through its standard MCP (Messaging and Context Protocol) server.

Question 4

What is Kawa?

Accepted Answer

Kawa is a communication layer (MCP server) that enhances AI coding assistants by enabling them to understand development intent, maintain context across sessions, and align human and AI decisions within your workflow. It works in conjunction with the Kawa Code desktop application.

Question 5

What team collaboration features does Kawa offer?

Accepted Answer

Kawa helps teams by enabling conflict detection for shared files and lines, allowing you to see what teammates are working on, and facilitating alignment of architectural decisions across the development team.

Kawa

Kawa

Key Features

Use Cases

Key Features

Use Cases