Artificial intelligence (AI) is moving beyond software development into the physical world, as a growing community of enthusiasts uses chatbots to design, prototype and manufacture products without traditional engineering skills.
The emerging trend, dubbed “vibe manufacturing”, applies the principles of vibe coding to hardware, allowing users to describe what they want in everyday language and use AI to generate computer-aided design (CAD) models ready for manufacturing or 3D printing.
The development could make product design more accessible, reducing the technical expertise and time traditionally required to turn an idea into a physical object.
Business Insider reported that Jeff Deehan, a real estate developer in Michigan, used OpenAI’s GPT-6 Astra to design a steel component to secure a camper to his truck.
After describing the required shape and positioning through voice mode, the chatbot generated a prototype, downloaded the design as a DXF file and submitted it to custom manufacturer SendCutSend.
The $156 component arrived 10 days later.
Other enthusiasts are exploring the technology for more ambitious projects, including robotic arms, jewellery and children’s toys.
Amy Zhou and Jake Fitzgerald are developing an open-source text-to-CAD tool that has attracted more than 23,000 stars on GitHub, reflecting growing interest in AI-assisted physical product development.
Fitzgerald used the technology to design a robotic arm with a reach of 0.6 metres, spending about $200 to have it manufactured.
The technology is also opening opportunities for hobbyists to experiment with products that would previously have required specialist CAD knowledge.
However, reliability remains a challenge, with users reporting design errors, poorly fitting components and repeated manufacturing costs during prototyping.
The complexity of products also remains a significant limitation, making sophisticated industrial equipment and vehicles beyond the technology’s current reach.
For now, vibe manufacturing is primarily a tool for experimentation and small-scale production, but it points to a future in which AI could lower the barriers between having an idea and making it real.