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Developers and AI engineering teams using VS Code who want their AI agents to read and edit a living system diagram instead of guessing the architecture from raw code
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AI CodingKey Features
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Project Little Oxford
Project Little Oxford is an open-source VS Code extension built for agentic engineering workflows where humans and AI agents share the same codebase. Instead of treating system diagrams as static documentation that goes stale the moment code ships, it lets developers and AI agents co-create, edit, and audit interactive system diagrams in real time using a structured `.viewer/model.json` schema. The result is a living architectural map that improves codebase understanding for both sides of the collaboration — developers get an always-current view of how the system fits together, and AI agents get richer structural context before generating or refactoring code.
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Pros
- Free and open-source — no lock-in or seat pricing
- Built natively for VS Code where most agentic engineering already happens
- Designed around agent-human co-authoring, not just human-only diagramming
- Structured `.viewer/model.json` schema keeps diagrams machine-readable for AI agents
- Real-time audit tools surface drift between diagram and actual code
Cons
- VS Code only — no JetBrains, Cursor-only, or web IDE support yet
- Newer project with a small community and limited public showcases
- Requires teams to actually maintain the diagram contract for the agent loop to pay off
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