In a post from OpenAI on November 3, 2026 (source), the company highlights how ChatGPT and Codex are being used to speed up complex engineering tasks related to the physical world. Engineers are leveraging these models to interact with workflows in CAD (computer-aided design), PCB (printed circuit board) design, and simulation environments. The AI systems serve as copilots, augmenting teams by interpreting project goals, automating repetitive tasks, and handling domain-specific code generation.
Key points covered include:
- ChatGPT and Codex integrate into existing design and simulation tools to offer contextual code suggestions and explanations for engineering workflows.
- They help with documentation, generate scripts for custom automation, and assist in error detection and reasoning about simulation outputs.
- The AI assists both software and hardware engineers, particularly in environments ranging from mechanical design suites to electrical engineering platforms.
- These integrations are already reducing cycle times for prototyping and debugging in professional teams.
Developers and engineers using CAD, PCB, or simulation toolchains can explore integrating ChatGPT or Codex into their workflows to amplify productivity, automate common scripting tasks, and accelerate iterations in the product development cycle.