I'm a software engineer, completing 10 years of professional experience this year. I started my career as a web frontend engineer (it was easier for me to de...
Yeah, I find it difficult, too, especially since management hasn’t caught onto this yet and still wants me to specialize.
And of course, the answer is that I should specialize in AI, because there’s currently a lot of new development happening there. But that knowledge is also getting obsolete by the minute, with ever more tools coming out and then again other tools that operate those tools for you.
The one thing I hold onto, is that no matter how the situation evolves, the basic job requirements for software engineering, i.e. being smart and being able to learn quickly, will always be an advantage.
I don’t think it’s possible to hold onto the confort zone from before, even if the industry implodes from the AI costs becoming transparent. But yeah, I do think we’ll land on our feet in one way or another.
I’m not sure about specializing, but there’s a lot of stuff you can learn in the AI field that was useful before the current hype bubble and will remain useful going forward. Traditional ML is huge and doesn’t move quite as fast as e.g. LLM applications.
Yeah, I find it difficult, too, especially since management hasn’t caught onto this yet and still wants me to specialize.
And of course, the answer is that I should specialize in AI, because there’s currently a lot of new development happening there. But that knowledge is also getting obsolete by the minute, with ever more tools coming out and then again other tools that operate those tools for you.
The one thing I hold onto, is that no matter how the situation evolves, the basic job requirements for software engineering, i.e. being smart and being able to learn quickly, will always be an advantage.
I don’t think it’s possible to hold onto the confort zone from before, even if the industry implodes from the AI costs becoming transparent. But yeah, I do think we’ll land on our feet in one way or another.
I’m not sure about specializing, but there’s a lot of stuff you can learn in the AI field that was useful before the current hype bubble and will remain useful going forward. Traditional ML is huge and doesn’t move quite as fast as e.g. LLM applications.
Oh yeah, for sure, but they do mean generative AI in this case, because it’s the hype du jour.