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Re:AI usage generates a fragile codebase by megak1d on Tuesday November 10, 2026 @07:35AM (#50439449)
This is what I came to post.

For the last 20 years of my career, I have prided myself on keeping a clean codebase, making 'art-not-science' decisions of when and what to abstract, scope boundaries, then implementing them cleanly, specifically to be easily grok'd by other developers. But after building, from scratch, and operating an (essentially) vibe coded software solution (in typically a very engineer led/low level space) over the last 9 months, I am still able to move at super-human speeds in terms of delivering features, investigating and fixing any issues (there aren't many, certainly less than most human teams I've been in) - whether that's because of AI advances or just their innate quality of being able to tackle the dross coding tasks that always got avoided by humans in my past I'm not sure but I'll stick with it until a better approach becomes apparent!

I feel my specialist skills (coding, debugging, devops) has been devalued - I can't justify holding those as my value-add proposition any more - but new skills are replacing those (context/AI/agent engineering) in equal measure.

Re:AI usage generates a fragile codebase by geertj on Tuesday November 10, 2026 @07:44AM (#50439553)
I think I agree with all you said, but I can’t go of a clean codebase yet. And I’m not sure I should. Or at least not now, not until the agent can better understand what I actually want.

And you’re right, with a bit of direction and further prompting it’s quite easy to get your code in a reasonable shape.

Mostly my hope is that at some point soon the agents will start writing clean code. But then again, maybe clean code for a galaxy brained agent is not actually the most efficient code from token spend perspective.