Beyond the Hammer: Diversifying Your Software Development Toolkit
summary
Argues that surviving AI means broadening concrete skills: become a polyglot developer, know multiple stacks and when each is actually the right tool, and practise scrum, data-driven estimates and fast feedback loops. Lists real failure modes — anchoring bias, status‑quo, sunk‑cost and confirmation bias — with examples (10‑person estimate anchoring, unused half‑built feature that should be scrapped). Describes the ML pipeline steps (problem definition, data collection/storage/prep, labeling, model training) and predicts AI augmentation now and possible disruption in 5–10 years.
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chapters (12)
- 0:00Introduction and context
- 2:14A nostalgic look back
- 5:50Evolution of programming
- 10:41The value of a developer
- 13:14Becoming a polyglot
- 18:31The human element
- 20:27Understanding cognitive biases
- 24:04Practical decision-making
- 26:35Overcoming project biases
- 33:50AI in software engineering
- 46:37Closing thoughts
- 46:49Final Q&A session
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