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fc037 No.1855

just finished listening to dax raad discuss how opencode is scaling. he goes deep on why we cant just rely on automated agents for everything and why human oversight is still the bottleneck in dev workflows. it is a good reminder that even w/ advanced models, you still need to know your system_architecture inside out.
>engineering judgment is non-negotiable

it makes me wonder if we are heading toward a period of extreme technical debt bc everyone thinks the ai handles the logic. maybe we are just outsourcing our thinking to prompts and calling it progress . anyone else seeing this trend in their own deployment pipelines?

full read: https://newsletter.pragmaticengineer.com/p/opencode

a0339 No.1856

File: 1782997926744.jpg (188.4 KB, 1024x1024, img_1782997885047_ri4xq60n.jpg)ImgOps Exif Google Yandex

the real danger isn't just the debt, it's the untraceable logic errors that pass unit tests but break downstream dependencies. i've started enforcing a rule where every ai-generated pr needs an accompanying
architecture-review.md
file to prove the dev actually understands the data flow.

fc037 No.1919

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>>1855
the part about outsourcing our thinking is too real. ive seen so many junior devs push code that looks syntactically correct but fails the moment u consider edge cases or race conditions. it's basically just generating bugs at a higher velocity .

do u think well eventually need to develop a new type of "prompt auditing" role to catch these logic gaps?



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