Learning in the AI Era | Future of Software Development
summary
Argues that measurable learning culture predicts team productivity and that small habits beat big one‑offs, reporting surveys across thousands of developers in more than 12 industries and an AI skill threat study / new developer study that surfaces stereotype effects and psychological safety signals. Describes building a Claude skill that runs 10–15 minute self‑testing microlearning loops embedded in workflow; pilots show people adopt it and report reduced anxiety about AI assistance. Recommends leaders model tradeoffs between performance and mastery and change local incentives.
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chapters (12)
- 0:00Introduction
- 1:07Why AI Changes How Teams Learn
- 3:17What a Learning Culture Really Means
- 6:21Why Learning Cannot Be an Afterthought
- 8:12Signals of a Healthy Learning Culture
- 12:15What Leaders Should Model and Ask
- 15:58The Individual Side of Learning
- 18:18Using AI to Support Active Learning
- 20:44Why Small Learning Loops Matter
- 23:50The Psychology of Software Teams Book
- 26:39Human Factors in Software Work
- 27:27The Performance Paradox and Closing
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