Raw LLM Responses

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I had a basic ticket a few weeks ago at a new job that I think perfectly describes the pros and cons of AI. New codebase and new language/framework for me, task was to add a filter to an existing query to only fetch users active in the last 12 months. I pasted the ticket description into Cursor - rather than extending the existing query it took the returned array and filtered through it in an ugly for loop. Technically this code would have "worked" from the perspective of a vibe coder, but it was very ugly code and a very inefficient way to handle the ticket. On the flip side, when I decided to do it properly then AI helped me trace through the code so much quicker!
reddit AI Jobs 1773496878.0 ♥ 6
Coding Result
DimensionValue
Responsibilitynone
Reasoningunclear
Policynone
Emotionindifference
Coded at2026-04-25T08:33:43.502452
Raw LLM Response
[{"id":"rdc_oaei796","responsibility":"none","reasoning":"unclear","policy":"none","emotion":"indifference"},{"id":"rdc_oaefqs5","responsibility":"company","reasoning":"consequentialist","policy":"none","emotion":"resignation"},{"id":"rdc_oadlo61","responsibility":"none","reasoning":"virtue","policy":"none","emotion":"approval"},{"id":"rdc_oadlz0b","responsibility":"ai_itself","reasoning":"consequentialist","policy":"none","emotion":"mixed"},{"id":"rdc_oag574h","responsibility":"none","reasoning":"unclear","policy":"none","emotion":"indifference"}]