Psychology of Code Readability
summary
Argues that readable code maps to human cognition: familiarity and pattern recognition beat clever hacks, and working memory limits sit around 4±1 working-memory chunks so group related data and avoid scattering interacting pieces. Recommends consistency in naming and idioms, warns dot imports trade off clarity for noise, notes packages and structs often cluster around four methods, and advises using fuzzers and formal methods when problems exceed human working memory and to minimize locus switches across files.
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chapters (7)
- 0:00Start
- 2:28Humble for loop
- 7:30How Do Our Brains Organize Information?
- 12:23Package naming
- 22:50Mental Model - Mismatch
- 23:22Poor Mental Model
- 24:18Mixing Mental Models
