Being a DEV in the age of AI
summary
Gabriel Andújar discusses how software developers can prepare to add value in a world increasingly shaped by artificial intelligence, arguing that mastering a language or optimizing processes is no longer enough. He examines the role of AI, the changing nature of tech projects, and ways to expand developers’ mindsets to handle greater complexity and faster innovation cycles.
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chapters (14)
- 0:00Introduction
- 1:27Developer role today
- 3:35Handling complexity with tools
- 8:12Technology vs adoption
- 12:05AI and future of code
- 14:31Steps to use AI as developer
- 17:40Agents and MCP in development
- 22:41AI-assisted development
- 23:01Human knowledge and business
- 26:32Cognitive biases in tech
- 32:52Learning to learn in AI era
- 35:21T-shaped knowledge and infinite learning
- 37:28Critical thinking and adaptation
- 39:11Conclusion
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