Shawn Wang discusses AI engineering’s potential impact on the software development labor market and developer experience. With the rise of artificial intelligence technologies, there is an increasing demand for professionals who can bridge the gap between AI and software engineering, and engineers are looking around for guidance on how to best learn AI.
Shawn emphasizes the importance of acquiring core knowledge and skills in AI engineering, highlighting the need for a systematic approach to education and development. He envisions a future where AI engineering becomes a recognized profession, with specialized training programs and certifications. He further talks about mental models for approaching AI literacy, and skill building.
Shawn also discusses the use of advanced AI technology in software development. He showcases tools like GPT Vision, which can automate tasks and generate code efficiently. While acknowledging the potential of AI in enhancing productivity, Shawn emphasizes the need to leverage AI tools to augment human capabilities rather than replace them.
