Clara explores whether learning to code is still worthwhile, offering crucial insights into the learning process and the future of programming.

• 0:00 The ai-lephant in the room
• 0:08 Is programming a dying craft?
• 0:33 Our AI features are very demure, very mindful
• 1:41 Doomsday
• 2:19 Computational thinking
• 3:17 A more grounded view of AI development
• 4:14 What now?
• 5:01 Just start coding
• 5:36 Is programming hard to learn?

Design principles with hands-on refactoring tutorials that make code easier and safer to change under AI-assisted development.

Clara explains how to use AI effectively when learning to code or improving your programming skills, discusses the potential drawbacks of the concept “AI as a tutor” and its impact on the learning experience, both practically and emotionally. 📃 Read the research this video is based on about the "widening gap" here: https://dl.acm.org/doi/10.1145/363262...

• 0:00 what’s up with AI and learning?
• 0:32 the experiment
• 0:58 pssst... check out our student pack
• 1:13 student A (struggling)
• 2:11 unawareness of unawareness
• 2:26 student B (non-struggling)
• 3:36 the widening gap
• 4:23 a rule of thumb 👍
• 4:39 doing things slowly is better for learning
• 4:48 imposter syndrome
• 4:56 meh.
• 5:43 🤑getting things done
• 6:09 the good old days
• 6:36 how to use LLMs in learning
• 6:54 what have we learned?
• 7:13 the psychology of learning to code
• 7:20 please… please... the student pack
• 7:32 begging and conclusion

I often daydream about the lives of people who picked up C just at this perfect time, right at the start.
After they learned this relatively small language, they could then have spent DECADES writing JUST C, one language for all programs, on all devices.
I wonder if you can see where I'm going with this?