@artem.novitckii · artem novitckii
Saved 2026-07-02 · Posted 2026-05-22 · Status: New
Comment “PRINT” and I’ll send you the guide and links 👇
One guy just killed engineering.
He open-sourced a Claude skill that turns text into full mechanical designs. Moving parts, physics validation, animated assembly.
It also validates the mechanism actually moves. So you’re not just generating pretty geometry — you’re generating engineered parts that physically work.
Half the engineering students on X are realizing they spent 4 years training for a job that just got compressed into a text prompt.
Content ideas (0)
No ideas generated yet. Run /instagram-sync ideate from Claude Code to create some.
Comments (15)
Here’s the link: https://github.com/earthtojake/text-to-cad
1. Accuracy and Reliability Issues
* AI-generated models or renderings may contain geometric errors, incorrect dimensions, or unrealistic features.
* Small inaccuracies can have major consequences in engineering applications.
2. Lack of Engineering Validation
* AI can create visually convincing designs that do not satisfy engineering requirements such as strength, manufacturability, safety factors, or regulatory standards.
3. Data Quality Dependence
* AI performance depends heavily on the quality and quantity of training data.
* Biased, incomplete, or outdated datasets can produce poor results.
4. Limited Explainability
* Many AI systems function as “black boxes,” making it difficult to understand why a particular design or rendering was generated.
* This can complicate design reviews and certification processes.
5. Intellectual Property Concerns
* Questions may arise regarding ownership of AI-generated designs
Lol engineers are alive and well
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