Open-Source Agent That Teaches Claude Code Your Architecture – Jonno.nz (jonno.nz)

A new open-source tool called "domain-agents" has been introduced to address a critical gap in AI coding assistants like Claude Code and Cursor. While these tools excel at quickly finding relevant code snippets, they lack the ability to understand a project's overall architecture and how different components interact. This tool conducts static analysis on TypeScript codebases, identifying business domains and generating context files that load essential architectural details for AI coding assistants. As a result, the AI is equipped with vital information about domain dependencies, scaling stages, and technical debt before any coding session begins. The significance of domain-agents lies in its capacity to support "evolutionary architecture," a methodology that emphasizes clean interfaces and flexible implementations as software scales. This is increasingly important in an era where the rapid development enabled by AI tools can lead to complex scaling issues. Designed to keep pace with the evolving needs of startups, domain-agents helps ensure that as businesses grow, their software architecture can adapt seamlessly without requiring extensive rewrites. By embedding domain-specific knowledge within AI agents, it fosters a team-centric model that mirrors traditional ownership structures in engineering, enhancing collaboration and reducing the risk of architectural oversights.