In the future, we may see a shift towards on-demand custom software, where users interact with AI to generate specific code solutions tailored to their needs, resulting in ephemeral programs that solve immediate problems. There will also be a demand for smart individuals who can effectively manage AI coding tools, and if we label them as software engineers, that's acceptable, but the nature of the job will be significantly different.

New AI models are unlocking startup opportunities in fields like engineering, where they can significantly improve productivity and innovation.

As AI continues to evolve, the skills that will be in demand may shift towards creativity, vision, and design sensibility, rather than traditional technical skills.

I believe 90% of code will be AI-generated, but the demand for engineering jobs will actually increase.

There's a growing trend where companies are looking for engineers who are adept with AI coding stacks, and interview processes are adapting to evaluate candidates' proficiency with these tools.

Engineering roles will shift from 'bricklayers' to 'architects' as AI tools like Devin take on more coding tasks, allowing engineers to focus on higher-level design.

While AI's current applications may not seem groundbreaking, they are already changing things behind the scenes, particularly in developer productivity and customer support.

AI systems are becoming capable of carrying out longer sequences of tasks, which could lead to the displacement of various jobs beyond just software engineering.

Developer tools for prompt engineering are gaining traction, allowing users to chain prompts and test their effectiveness, which is appealing to college students experimenting with AI.