Raw LLM — Corpus Dashboard

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G US govt and all other govt. should increase tax rate gradually on these companie… ytc_UgwQBEDYr… G Its not for children. And what are you talking about. It literally is called AI.… ytr_UgyEk9DtQ… G He literally wrote a book about how it's a black marble unless you can somehow g… rdc_mbum3mz G I mostly like this channel, but interviewing hypesters like this dude and buying… ytc_UgyTDDJP1… G and yet...an MIT study showed that less than 5 percent of companies who push AI … ytc_UgwmXlGiq… G The invisible biological weapon is most concerning. In regard to the human spe… ytc_UgyAo4gWp… G I did not know A.I. would be unloading trucks, running wire, connecting piping? … ytc_UgyVnJeMa… G Well, AI can be more intelligent based on past data, but if we encounter somethi… ytc_UgzGOMxUV…

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