Engineering video
1:11 · 18 October 2026
The speaker explains: aI agents save time on manual implementation, allowing teams to finally execute software development theories and maintain extensive integration test suites that were previously too difficult to manage.
Hear it at 0:00 →The speaker explains: aI acts as a tool that handles the actual code writing—often producing poor code—which frees up engineers to do more thinking while coding less than ever.
Hear it at 0:56 →because of all the work was manual in the past, right? You thought about something as an engineer and you had to actually spend a lot of time, many a few hours to to implement it. But now you have all these agents that you can direct, which means that this is kind of an engineer's wet dream, right? There's nothing to be afraid of these agents and AI eliminating jobs for engineers. When actually, they finally allow us to make this vision that was in all this clean code books, you know, all the theory of proper software development can now actually be implemented, because one of the main reason why it wasn't implemented is because it it was way too much time, right?
So, this is actually something that that engineers should be excited about, right? So, I can tell you it's the first time, for example, where our code base, it's covered by integration test. It was just so hard to get it done and maintain it, and we have 950 in our full independent test suite. Testing everything, every night, okay? You need a dedicated testing team to write test every day. And so, a lot of the things that were hard to do are now democratized and a lot of people are saying, you're not thinking anymore because AI is writing the code.
But reality, it's AI, it's just the tool. It writes very poor code, but because it does the code writing, you do a lot of the thinking. So I think more than ever, but I code less than ever.
