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> Coding, which we called “computer programming” 60 years ago, is the canary in the coal mine in terms of the impact of AI. In many advanced software teams, developers no longer write the code; they type in what they want, and AI systems generate the code for them. Coding performed by AI is at a world-class level, something that wasn’t so just a year ago. According to my guide here, “There is no speculation about whether or not human replacement will take place in that vertical.”

I'm starting to believe that AI coding optimism/pessimism maps to how much one actually cares about system longevity.

If a given developer just takes on board the demands for speed from the business and/or does not care about long-term maintainability (and I mean hey, some businesses foster that, and scaling quickly is important in many cases), then I can totally understand why they would embrace AI agents.

If you care about theory building, and domain driven design, and making a system comprehensive enough to extend in a year or two's time, then I can understand the resistance for the AI to let-it-rip. I admit to falling in this camp.

Am I off the mark here? I'd really like to hear from people who care about the long term who also let agents run relatively wild.





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