1. AI as Infrastructure and Developer Demand
The speaker explains: companies are recognizing the continued need for developers while treating AI as an optimization problem and an emerging infrastructure layer similar to the cloud.
Hear it at 0:03 →Engineering video
0:37 · 13 October 2026
Do Not Quit Coding in the AI Storm
Key concepts in this video:
2. The Cost of Quitting Now
The speaker explains: quitting and abandoning past hard work during this period makes it significantly more difficult to re-enter the field if market conditions bounce back in the future.
Hear it at 0:24 →Transcript
As they say, you cannot fight the storm, but you can outlast it. So, we are living through a period where there's a lot of change, there's been a lot of innovation, but things are slowly settling in, companies are realizing we do need developers even if we use AI. And right now, AI is becoming an optimization problem where they're like, okay, how do we use AI, but Don't tell can max, we need a budget to hire people that work with AI.
And it's just going to become another infrastructure layer, just like cloud became one. So, number one, it's don't quit. Because if you quit now, and you're gone, and you abandon all the hard work you've been doing, it's going to be, even if you decide two years from now, things bounce off again, you try to get back to it, it's going to be a lot harder.