Raw LLM Responses
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G
This just felt like 2 dudes that are scared of current events, talking about AI.…
ytc_UgxeSfHpt…
G
im not a fan of AI i think it can be very helpfull but we have establish very st…
ytc_UgzVZcml9…
G
@Dreammeditaterepeat This is a lot more complicated and risky than an elevator. …
ytr_Ugzpf53p0…
G
Can Ai swim?? Can ai be a Lifeguard?? Or work in a boat like, prawn trawlers, tu…
ytc_UgzFYPNw3…
G
Do have any info on blocking a.i. interface that has the ability to projected fe…
ytc_UgyWjYRP1…
G
But Chatgpt tells me this :
If you read the Bible itself without outside opinio…
ytc_Ugx3okSKm…
G
Oooooohhh so he's an idiot. Good to know lol if you think you couldn't generate …
ytc_UgwBpKTMk…
G
I actually asked Google Gemini something along these lines, and this is what "it…
ytc_UgwT4GLDV…
Comment
I've had some better result by splitting a project in phases. Just like any other project, you need to plan your code for your requirements and make some design choices. LLM's can be pretty good at that, if you have your requirements clear, you need to be very specific when writing your prompts. Make it 'think' about design patterns and logical code separation so the codebase is split in logical chunks (think DDD and/or old fashioned UML). Then, when you have your architecture clear, you can start implementing function by function. And that's where the LLM can really speed up things, because you give it clear constraints and tasks. Just like splitting tasks between programmers in a team, you need to give the LLM very clear instructions.
youtube
AI Jobs
2026-01-20T10:1…
Coding Result
| Dimension | Value |
|---|---|
| Responsibility | none |
| Reasoning | unclear |
| Policy | none |
| Emotion | indifference |
| Coded at | 2026-04-27T06:24:59.937377 |
Raw LLM Response
[
{"id":"ytc_UgyD26D8k5eEuTOyKTB4AaABAg","responsibility":"none","reasoning":"unclear","policy":"none","emotion":"indifference"},
{"id":"ytc_UgzJfJcejIBD27TOe1d4AaABAg","responsibility":"user","reasoning":"consequentialist","policy":"none","emotion":"resignation"},
{"id":"ytc_UgzQNjSA0qEtpTid1Lx4AaABAg","responsibility":"user","reasoning":"virtue","policy":"none","emotion":"outrage"},
{"id":"ytc_UgylIqWuK_5kLDHxZ8B4AaABAg","responsibility":"none","reasoning":"unclear","policy":"none","emotion":"indifference"},
{"id":"ytc_UgzxKCP22-KfVIL-8Nx4AaABAg","responsibility":"none","reasoning":"unclear","policy":"none","emotion":"approval"},
{"id":"ytc_UgxOt3h2QwsNc786jeB4AaABAg","responsibility":"none","reasoning":"unclear","policy":"none","emotion":"indifference"},
{"id":"ytc_Ugw9Uhz1GmldAMPdkAB4AaABAg","responsibility":"ai_itself","reasoning":"consequentialist","policy":"none","emotion":"indifference"},
{"id":"ytc_UgxRXznZpPNTy7M2BdR4AaABAg","responsibility":"user","reasoning":"deontological","policy":"none","emotion":"indifference"},
{"id":"ytc_Ugx0R57_oAVr4HkBrz94AaABAg","responsibility":"ai_itself","reasoning":"consequentialist","policy":"none","emotion":"outrage"},
{"id":"ytc_UgxEQiQSA81n5a_BREx4AaABAg","responsibility":"none","reasoning":"unclear","policy":"none","emotion":"indifference"}
]