How do our ideas about coding affect the software we create?

on YouTube ↗34m

" summary

Argues that current myths — programming equals STEM brilliance and loving endless new frameworks — cause fragile, inscrutable systems rather than usable software, citing the Gilded Rose refactoring kata as an example of technically correct but unreadable code and Advent of Code to show contrast with real work. Points to repeated rewrites, churn from new JS frameworks, Kafka and microservice sprawl (microservices gone wrong), and separated UX teams as causes, and recommends prioritizing organization, clear abstractions, data modeling and communication skills.

AI-written summary · about

" chapters (38)

1. 0:00Intro
2. 2:00Why do we write software
3. 5:40Excuses
4. 6:30Its not the tech
5. 7:00Are we any good
6. 7:30What is programming
7. 13:35Algorithms
8. 15:50Merry Christmas on both cakes
9. 16:30Personality traits
10. 17:00Positive spin
11. 17:30Science genius
12. 18:30Organisation
13. 19:30Tech Geniuses
14. 20:30UX
15. 21:30We dont notice
16. 22:00Its impossible to really have a good grasp
17. 23:00We are causing the situation
18. 23:30Should we be valuing knowledge
19. 24:00Oldfashioned tools
20. 24:30Learning new things
21. 25:00Being an expert
22. 25:30What actually matters
23. 26:00Perceptions about programming
24. 26:30Are you good at math
25. 27:00What our code bases would look like
26. 27:30How did you learn about coding
27. 28:00This is a serious problem
28. 28:30What matters
29. 29:00Women and programming
30. 29:30Multiple interests
31. 30:00Good abstractions
32. 30:30Object oriented programming
33. 31:00We need to learn
34. 31:30Better languages
35. 32:00More human interest
36. 32:30How do we solve human needs
37. 33:00We need to care about users
38. 33:30Thank you

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