Gjalla is a semantic layer designed for software development teams working with AI coding tools. It provides continuous architecture documentation by connecting to your codebase and delivering real-time insights to AI coding agents through Model Context Protocol. The platform reduces developer toil by automatically maintaining up-to-date system architecture knowledge, enabling teams to build faster without manually documenting changes.
Gjalla is a semantic layer that provides continuous, data-backed architecture documentation for software development teams. It acts as a sidekick for AI-native teams by connecting your codebase architecture to AI coding agents through Model Context Protocol.
Gjalla provides an MCP (Model Context Protocol) server that connects to AI coding agents like Claude or other AI assistants. This gives the AI real-time access to your system architecture, enabling more accurate code suggestions and better understanding of your codebase structure.
Model Context Protocol (MCP) is an open standard that enables secure connections between AI applications and external data sources. Gjalla uses MCP to share architecture context with AI coding agents in your development environment.
Gjalla is designed for AI-native development teams, particularly those working on complex codebases who use AI coding assistants. It's especially valuable for healthcare organizations, engineering executives, and teams that struggle with outdated documentation.
No. Gjalla provides continuous documentation by analyzing your codebase directly, eliminating the need for manual architecture diagram updates or wiki maintenance.
Gjalla eliminates time spent searching for architecture information, updating documentation, and explaining system structure to new team members or AI tools. The platform maintains current knowledge automatically from your codebase.
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Continuous, data-backed architecture documentation that helps development teams build faster with AI coding agents.
Semantic layer for AI-native development teams.
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