A diagram is data, not a drawing
📰 Dev.to · Siva Teja
Learn to think of diagrams as data, not just drawings, and explore the implications for architecture and modeling
Action Steps
- Reevaluate your diagramming tools to see if they can output data
- Use a graph database to store and query your architecture diagrams
- Apply data analysis techniques to your diagrams to identify patterns and inconsistencies
- Build a custom engine to generate and validate diagrams based on data
- Test and refine your engine using real-world architecture diagrams
Who Needs to Know This
Software engineers, architects, and data scientists can benefit from this perspective to improve their modeling and design processes
Key Insight
💡 Diagrams can be a rich source of data, and treating them as such can reveal new insights and opportunities for automation
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Diagrams are data, not just drawings! Discover how to leverage this perspective to improve your architecture and modeling #datadriven #architecture
Key Takeaways
Learn to think of diagrams as data, not just drawings, and explore the implications for architecture and modeling
Full Article
A frontier model drew my 44-node architecture and drew it wrong — but not in the way everyone says. Here's the boundary I think we're drawing in the wrong place, and the engine I built on the other side of it.
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