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> "AI writes overly complex ccode" - only if you let it. A "do not overengineer it" or "Pareto, 80% result with 20% of effort" go a long long way.

No doubt code quality increased substantially, but I've been wrestling overengineering for a long time, with both GPT/Claude - they will take any small chance to write excess code/documentation/specifications, anything - they seem to love reinventing the wheel. Heck, even prompts sent to subagents are walls of text.

Explicitly requiring simple solutions works for simple problems, but for more complex ones, complexity quickly creeps in. I even ask the alternative model to challenge the complexity of solution, but doesn't work really well.

There is a perverse incentive for AI companies to train models to be verbose, as it increases the tokens consumption.

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Even 'technical debt' seems outdated... better models are coming that will fix the shortcomings of todays models.
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And here we are back in 2024 prompt engineering stage of "you're not using it right." Wake me up when we get back to the loops and harnesses phase.
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There have been spontaneous demonstrations amongst the workers voicing their joy and gratitude at our happy new way of life...
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Blah, blah. They told us the same in 2025, 2024, 2023: "This is fixed in the latest frontier model!!!"
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Coding agents have only been really working for about 12-18 months at most. It's easy to forget!
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And even in that short time range, the difference in capabilities 18 months versus 3 months ago is so massive that the expectation of what it means for them to 'work' has changed.
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You honestly don't notice any improvements in terms of model capabilities?
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