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.

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.

As AI takes on more coding tasks, maintaining a balance between automation and preserving core engineering skills is essential for the development of effective programmers.

For early-career professionals, it's essential to lean into AI tooling, as software development is being significantly augmented by AI, which will enhance productivity.

I've realized that my focus should be solely on AI, as trying to master multiple fields like maritime shipping or healthcare is overwhelming and inefficient.

If you start learning AI skills now, you're at a prime moment to gain expertise and leverage it for future opportunities.

To become an expert in a new field, like AI, the best approach is to dive in and do the work, as I did with logistics and delivery, which helped me gain a strong understanding of the industry.

It's crucial to work for a company that embraces AI tools, as this will enhance your learning and career opportunities.

We initially explored automating mechanical engineering but pivoted to focus on programming, recognizing the potential for AI in that space.