arXiv:2602.03045v2 Announce Type: replace Abstract: Large language models have recently enabled text-to-CAD systems that synthesize parametric CAD programs (e.g., CadQuery) from natural-language prompts. In practice, however, geometric descriptions can be under-specified or internally inconsistent: critical dimensions may be missing and constraints may conflict. However, existing fine-tuned models tend to reactively follow the user instructions and hallucinate dimensions when the text is ambiguous. To address this, we propose a proactive agentic framework for text-to-CadQuery generation, named
The proliferation of large language models is driving innovation in specialized applications like Computer-Aided Design (CAD), addressing existing limitations. The rapid advancement in AI agentic frameworks is enabling more sophisticated interactions and problem-solving capabilities.
This development represents a step towards more robust and user-friendly automated design systems, potentially accelerating product development cycles and expanding CAD accessibility. It highlights the growing trend of AI agents moving into complex, professional workflows.
Existing text-to-CAD models that reactively hallucinate dimensions are being augmented by proactive AI agents that can clarify ambiguities before generating designs. This shifts the paradigm from reactive instruction following to interactive, uncertainty-aware design generation.
- · AI agents developers
- · Product design and engineering sector
- · CAD software industry
- · Manufacturing companies
- · Manual CAD designers for routine tasks
- · Companies with less sophisticated text-to-CAD tools
- · Traditional reactive text-to-code approaches
More accurate and efficient CAD model generation from natural language prompts will become standard.
The cost and time associated with engineering design iterations could significantly decrease, fostering more rapid product prototyping.
This could lead to a broader democratization of complex design processes, enabling non-specialists to create sophisticated CAD models with linguistic commands, influencing fields from hobbyist inventions to advanced manufacturing.
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Read at arXiv cs.LG