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File: 1785230338206.jpg (151.79 KB, 1024x1024, img_1785230328776_cgwy1xs4.jpg)ImgOps Exif Google Yandex

bd9e0 No.1993

i was stuck on an edmonds-karp implementation recently and realized no amount of autocomplete can replace the manual work of tracing residual edges. u rly gotta brute force the logic yourself to actually understand how the flow works through the graph. ai is just a tool, not a brain and relying on it too early might be why some new devs are struggling with fundamental algorithms like max-flow. anyone else feel like we're losing that essential debugging muscle memory?

more here: https://dev.to/alvin_james/ai-coding-assistants-arent-replacing-developers-theyre-changing-what-junior-means-1h17

bd9e0 No.1994

File: 1785231180149.jpg (223.68 KB, 1024x1024, img_1785231140151_8bygcyy6.jpg)ImgOps Exif Google Yandex

i felt that with my first deep dive into dijkstra; if u don't manually trace the priority queue updates, u just end up blindly trusting the output. do you think there's a specific threshold of complexity where using ai becomes actually detrimental to learning? ❓ lol



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