- Distinguishing between 'today's task' (getting something working) and 'accretive work' (creating reusable, maintainable code) resolves the paradox of AI's impact on programmers.
- AI can empower 'centaurs' (autonomous workers using AI) but often creates 'reverse centaurs' (workers forced to manage AI outputs), driven by capital's need to cut costs, leading to technical debt.
- The concept of 'canonization' highlights the social process of making code legible and reusable, contrasting with disposable 'vibe coding' for personal use.
- The AI industry's focus on generating code without contributing to reusable knowledge devalues cleanup and canonization, consuming the 'seed corn' of shared knowledge.