[xmprt]

If you think of building software as just writing the code then sure AI makes things a lot easier. But if software engineering also includes security, setting up and maintaining infrastructure, choosing the right tradeoffs, understanding how to deal with evolving requirements without ballooning code complexity, etc., then AI struggles with that at the moment.

[fastball]

With infra-as-code, an LLM can also set up and maintain infra. Security is another issue and 100% that still seems to be the biggest footgun with agentic software development, but honestly that is mostly just a prompting/context issue. You can definitely get an LLM to write secure code, it is just arguably not any model's "default".

[omnimus]

The problem is not if the LLM writes secure code. The problem is if you can know and understand that the code is reasonably secure. And that requires pretty deep understanding of the program and that understanding is (for most people) built by developing the program.

I am not sure how it's for others byt for me it's a lot harder to read chunk of code to understand and verify it than to take the problem head on with code and then maybe consult it using LLM.

[chasd00]

I think the industry is going to end up with exceptional software engineers organizing and managing many average coding assistants. The problem is the vast majority of us are not exceptional software engineers (obviously).