1. The Chef Analogy for Modern Engineering
Engineering is now like being a chef where AI acts as line cooks; you define the menu, inspect the quality, troubleshoot root causes, and adjust instructions accordingly.
Hear it at 0:05 →Engineering video
1:15 · 18 September 2026
AI Isn't Your Junior Developer
Key concepts in this video:
2. Shift from Implementation to Review
While implementation time has shrunk, building reliable software with AI requires spending much more time on thinking, analysis, and review.
Hear it at 0:40 →Transcript
A lot of people say you can think of AI as a junior engineer, that's not true. AI can do things that not even seniors can do. So, the engineering now becomes more like a chef where you have all this line cooks that they're cooking. And you define the menu, but then you also go and check that the quality of what comes out is exactly as you need it. And if the quality is not as you need it, you know the root cause effect, hey, they are not they overboiled, whatever, the potatoes or they overcook the meat.
And you can immediately go in and adjust and give them better instructions. It's just a more a robotic executor. So, you will be responsible for both the low level quality and the high level assembly of those two. Whereas in the past, we were working more kind of in the middle. So, if this was your average day, you would do a bit of thinking, design, okay, like what do we need to build? The scope was very small, so you didn't need to spend that much time, and then maybe you'll do a bit of QA testing and rewamping.
And a lot of it was just implementation, right? Whereas now, with AI, it's pretty much the other way around for very good engineers. Where this implementation time kind of shrunk, but if you're if you want something with quality, if you want something reliable, you do a lot more thinking, a lot more analysis, and a lot more review.