

Impact of AI on How We Learn to Code with Scott Tolinski
10 snips Oct 6, 2025
Scott Tolinski, a developer educator and creator of Level Up Tutorials, discusses the evolving landscape of coding education. He reflects on his journey from traditional learning methods to the rise of screencasts. The conversation dives into the dual impact of AI on coding, enhancing problem-solving but also challenging users to maintain deep knowledge. Scott emphasizes gradual integration of AI in learning and offers strategies for educators to clarify AI’s use while ensuring it complements traditional methods.
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From Hobby Screencasts To A Career
- Scott taught himself programming using video courses and library books before YouTube had quality tutorials.
- He recorded many free, high-quality screencasts starting in 2012 which turned into his career.
Algorithms Shaped Sustainable Teaching Choices
- Platform algorithms influenced Scott to move some content behind a paid model to sustain income.
- After Sentry acquired his work, he returned much content to free distribution to keep access broad.
Verify AI Outputs When You Lack Depth
- Use AI as a problem-solving assistant but verify outputs, especially when you lack deep topic knowledge.
- Dive into AI results with curiosity and test them instead of blindly trusting generated code.