E26: Do coding agents help or hinder learning?
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E26: Do coding agents help or hinder learning?
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Charlie and Oz reconnect after a year to tackle the question of our times: now that coding agents actually work, does learning computer science still matter — and is the agent an asset to your growth or a liability? They get into RLVR and why agents crossed the threshold, Amdahl's law as a metaphor for automated productivity, why Oz still wants everyone to write a little assembly, and the creeping fear that agents sap "the will to learn" the same way social media saps attention.
Then the constructive turn: using agents to build your own challenges within your zone of proximal development, why you should read the back of the textbook chapter first, and Oz's homework for Charlie — figure out what you earnestly want to learn, not what you feel you should.
Shownotes:
- Steve Krouse of Val Town's post on why coding is still worth learning
- Amdahl's law
- Vygotsky's zone of proximal development
- Bloom's 2 sigma problem
- Oz's blog
- Charlie's blog