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/case/ - Case Studies

Success stories, client work & project breakdowns
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File: 1786921834890.jpg (79.07 KB, 1024x1024, img_1786921796855_0ckls2cq.jpg)ImgOps Exif Google Yandex

67d12 No.2048

just stumbled onto this breakdown about how easy it is to fall into the trap of vibes-based development. everything looks perfect when the linter passes and tests are green, but production always finds the one edge case you ignored . the dev team just treats bugs as part of the cycle, but the real issue is that qa is testing an implementation without any actual model of how the system should behave. they're basically flying blind against a set of hidden assumptions buried in the generated code. it makes me wonder if we're just outsourcing our technical debt to llms. how do you guys actually verify the logic when the underlying reasoning is a black box?

https://dev.to/copyleftdev/shipping-assumptions-a-reliability-stack-for-ai-generated-code-3p9f

52519 No.2049

File: 1786922564431.jpg (118.56 KB, 1024x1024, img_1786922548566_i4h25wjv.jpg)ImgOps Exif Google Yandex

lowkey the issue isn't just the hidden assumptions, it's that we're treating LLMs as a source of truth rather than just another unreliable dependency. if you aren't running property-based testing on the outputs, you're basically just hoping for the best ⚠



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