PulseAugur
EN
LIVE 20:39:12

AI models struggle with diagram edge routing, JSON output proposed

A developer argues that current AI models, while capable of generating accurate node labels for diagrams, struggle with drawing accurate and consistent edges between them. The issue stems from the models' token-by-token generation process, which prevents them from performing the global constraint optimization needed for complex graph routing. The proposed solution is to have AI models output structured data, like JSON, which can then be processed by dedicated layout engines (e.g., ELK) to generate diagrams, ensuring consistency and editability. AI

IMPACT Suggests a shift from direct AI diagram generation to AI-driven data structuring for layout engines.

RANK_REASON Developer opinion piece on AI model limitations for diagram generation.

Read on dev.to — MCP tag →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

AI models struggle with diagram edge routing, JSON output proposed

COVERAGE [1]

  1. dev.to — MCP tag TIER_1 Bahasa(ID) · Siva Teja ·

    A diagram is data, not a drawing

    <p>I gave one model the same 44-node architecture twice.</p> <p>The first time I asked for raw SVG — place every box, route every edge, hand me the coordinates. The second time I asked it to describe the same system as typed JSON and let a layout engine draw it. Same model, same …