Raw LLM — Corpus Dashboard

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G Unfortunately in schools I don't imagine most taught people how to think, but mo… ytc_UgwEYp9Cr… G You're absolutely right! The distinction between knowledge and wisdom is a cruci… ytr_UgyaD1P7K… G Bullshit. Humans imbue AI with human traits, its not human. It will be its own … ytc_UgxAwh3Di… G The Indians that replaced Americans are getting replaced by AI imitating Indians… ytr_UgwzremvB… G i would be so annoyed if someone was interrogating me this way, shaking every wo… ytc_UgzcHuTxf… G @Bento_AUS_3059 Australia is a strange place. I’ve never seen an artist ridicu… ytr_Ugx6q57TP… G 16:57 his question at the end was wrong. It was supposed to be "when you say you… ytc_UgzNDJh61… G All that came because of people who have abusing copy paste over and over writin… ytc_Ugz2G7DrL…

Comment

I think you’re looking at agentic coding the wrong way. LLMs are basically statistical machines, they give you the average answer. If you just let them run, you don’t get great software, you get very confident mediocrity. What I see senior engineers doing is not handing over architecture or the coding loop. They stay in control and use AI as an augmentation, not a replacement. The workflow is honestly the same one we’ve always used: plan → execute → test → commit → repeat You still need to understand what you’re building and why. The AI just helps you move faster inside that loop. If you skip the planning (and I don't meant to give a generic plan like, use kotlin on the backend) and testing parts, you’re not doing agentic coding, you’re just vibe coding with extra steps. Used this way, AI keep the quality bar instead of lowering it.

youtube AI Jobs 2026-01-20T16:1…

Coding Result

Dimension	Value
Responsibility	user
Reasoning	mixed
Policy	none
Emotion	approval
Coded at	2026-04-27T06:24:59.937377

Raw LLM Response

[
{"id":"ytc_Ugz4agrWFYi3pnO77vZ4AaABAg","responsibility":"user","reasoning":"consequentialist","policy":"none","emotion":"fear"},
{"id":"ytc_UgzcJBGvtMXN48bdZSh4AaABAg","responsibility":"company","reasoning":"deontological","policy":"none","emotion":"outrage"},
{"id":"ytc_Ugz-gSe5oYsB0fe3Nf54AaABAg","responsibility":"user","reasoning":"mixed","policy":"none","emotion":"approval"},
{"id":"ytc_Ugzb1Q7ao1ocSruRgkt4AaABAg","responsibility":"user","reasoning":"consequentialist","policy":"none","emotion":"indifference"},
{"id":"ytc_UgxM4r7YuSrV2DSRzrh4AaABAg","responsibility":"none","reasoning":"consequentialist","policy":"none","emotion":"approval"},
{"id":"ytc_Ugw8pfKO9_5HjYtf6td4AaABAg","responsibility":"none","reasoning":"consequentialist","policy":"none","emotion":"mixed"},
{"id":"ytc_UgwxDfXybXSTcXq1uJ14AaABAg","responsibility":"user","reasoning":"mixed","policy":"none","emotion":"approval"},
{"id":"ytc_UgwFFzuza5KTaAiGxwJ4AaABAg","responsibility":"none","reasoning":"consequentialist","policy":"none","emotion":"indifference"},
{"id":"ytc_UgzzZFczRqilIEzDsc94AaABAg","responsibility":"none","reasoning":"consequentialist","policy":"none","emotion":"approval"},
{"id":"ytc_UgxcxCCni-sSFF_v27N4AaABAg","responsibility":"none","reasoning":"mixed","policy":"none","emotion":"mixed"}
]

Raw LLM Responses