What It Means

Computational design is a process that uses algorithms and digital tools to generate, analyze, and optimize design outcomes. Instead of manually drawing every detail, designers create rule-based systems or scripts that automatically produce geometry based on specific inputs and constraints.

Why It Matters

Computational design allows teams to explore complex design options quickly, automate repetitive tasks, and solve geometric challenges with precision. It enhances creativity and productivity while making design more responsive to data, performance, and constraints.

Best Practices

• Start with clear design goals and constraints before writing scripts.
• Use visual programming tools like Grasshopper or Dynamo to create adaptable workflows.
• Combine with analysis tools (e.g., environmental or structural simulation) to optimize performance.
• Maintain modular, well-documented code for reusability and collaboration.
  
  
  

Real-World Use

Designers use computational design to generate adaptive façades, optimize space planning, and automate the layout of structural systems. It empowers teams to explore thousands of design variations based on performance criteria like daylight, energy use, or cost.

In Simple Terms

It’s like teaching your design software how to think. You set the rules, and the computer generates and refines design options automatically—freeing you to focus on creative problem-solving.