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Code Smell 313 - “Workslop” in AI-Assisted Programming
Manage episode 517520078 series 3474148
This story was originally published on HackerNoon at: https://hackernoon.com/code-smell-313-workslop-in-ai-assisted-programming.
Stop shipping AI workslop. Learn to spot plausible-but-wrong code, restore domain intent, and refactor machine output before it becomes tech debt.
Check more stories related to machine-learning at: https://hackernoon.com/c/machine-learning. You can also check exclusive content about #ai-generated-code, #code-smells, #workslop, #clean-code, #common-code-smells, #code-refactoring, #llm-pair-programming, #refactor-ai-output, and more.
This story was written by: @mcsee. Learn more about this writer by checking @mcsee's about page, and for more stories, please visit hackernoon.com.
AI makes it easy to ship code that compiles but doesn’t actually represent your domain — “workslop.” It shows up as hollow logic, unclear intent, missing edge cases, and fake productivity that turns into technical debt. The fix is human: validate AI output against real scenarios, rewrite vague parts, add domain meaning, refactor for clarity, and get peer review. AI can point out patterns, but only you can restore intent and own the code.
407 פרקים
Manage episode 517520078 series 3474148
This story was originally published on HackerNoon at: https://hackernoon.com/code-smell-313-workslop-in-ai-assisted-programming.
Stop shipping AI workslop. Learn to spot plausible-but-wrong code, restore domain intent, and refactor machine output before it becomes tech debt.
Check more stories related to machine-learning at: https://hackernoon.com/c/machine-learning. You can also check exclusive content about #ai-generated-code, #code-smells, #workslop, #clean-code, #common-code-smells, #code-refactoring, #llm-pair-programming, #refactor-ai-output, and more.
This story was written by: @mcsee. Learn more about this writer by checking @mcsee's about page, and for more stories, please visit hackernoon.com.
AI makes it easy to ship code that compiles but doesn’t actually represent your domain — “workslop.” It shows up as hollow logic, unclear intent, missing edge cases, and fake productivity that turns into technical debt. The fix is human: validate AI output against real scenarios, rewrite vague parts, add domain meaning, refactor for clarity, and get peer review. AI can point out patterns, but only you can restore intent and own the code.
407 פרקים
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