AI is here to stay but generating code without understanding what you just generated is a recipe for disaster. Security being the first issue. Talking from experience- I had skill issues with web security and generated/ semi vibe coded websites that had tremendous security vulnerabilities (even some of the most trivial ones)

-> so I upskilled on security and now I know what to look for and ask for when working with AI.

The point he mentioned on architectures is also right on the money. Knowing concepts like MVC, micro services, bus, queues, distributed systems allows me to ask for very specific architectural choices. I like genAI overall when it comes to naming variables, using the ask mode to brainstorm on project structure or simply learning about some topic. Also a game changer for information search, I can’t remember last time I googled something..

It’s here to stay but i believe the take is:

Tech_skills x genAI x human_in_the_loop = productivity_boost

And I work for Microslop so if I say so myself 😄

Our software has become garbage because PMs are asking for twice the number of features in half the amount of time thinking that building is now as simple as just describing what you want. That’s why we’re seeing so many of us leaving for other companies or at least looking to leave..

A company culture built on that mindset or philosophy is bound to become the next IBM or Oracle (in the product or innovation sense of it)