Knit One, Compute One • Kristine Howard • YOW! 2016

Knitting patterns are algorithms and share many similarities with programming concepts:

• Contain loops, functions, subroutines and control flow
• Use binary operations (knit/purl stitches)
• Follow sequential processing patterns
• Include error checking and debugging capabilities

Knitting pattern formats have evolved like programming languages:

• Early patterns were like machine code (basic instructions)
• Charts and symbols added abstraction (like assembly)
• Modern formats like KnitML provide standardized intermediate representation
• Stitch maps offer visual pattern compilation and verification

Digital encoding can be done through knitting:

• Binary data represented through knit/purl stitches
• QR codes and messages can be encoded in patterns
• Cellular automata patterns can be implemented
• Source code and other data can be stored in knitted form

Knitting shares computational concepts:

• CPU = human knitter processing instructions
• RAM = active stitches on needles
• Storage = completed knitted fabric
• Debugging = checking stitch counts and pattern matching

Open source knitting tools exist:

• Pattern generators and visualizers
• Machine knitting hardware hacks
• Pattern format converters
• Repositories of knitting code and patterns

Cultural and technical crossover:

• Historical use of punch cards links textiles to computing
• Modern makers combine electronics with knitting
• Communities bridge craft and coding
• Documentation standards evolving like programming languages