{"type":"rich","version":"1.0","provider_name":"Transistor","provider_url":"https://transistor.fm","author_name":"The CS Primer Show","title":"E26: Do coding agents help or hinder learning?","html":"<iframe width=\"100%\" height=\"180\" frameborder=\"no\" scrolling=\"no\" seamless src=\"https://share.transistor.fm/e/240be2f5\"></iframe>","width":"100%","height":180,"duration":2827,"description":"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 lawVygotsky's zone of proximal developmentBloom's 2 sigma problemOz's blogCharlie's blog","thumbnail_url":"https://img.transistorcdn.com/Up3qvTThQXYsEK0wZ0grw7cRJoQeiW22_DStw8ccjLM/rs:fill:0:0:1/w:400/h:400/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS9zaG93/LzQwMzAwLzE3MDE4/NDE1OTQtYXJ0d29y/ay5qcGc.webp","thumbnail_width":300,"thumbnail_height":300}