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This is called being obtuse. Also, this illustrates my ambiguity point further, your workflow is not clearly described and only further muddled with every subse

This is called being obtuse. Also, this illustrates my ambiguity point further, your workflow is not clearly described and only further muddled with every subsequent equivocation you've made. Also, are you actually using agents or just chatting with a bot and copy-pasting snippets? If you write requirements and let the agent toil, to eventually pass the tests you wrote, that's what I assume you're doing... Oh wait, are you also asking the agents to write the tests? Here is the thing, if you wrote the code or had the LLM do it for you, who is reviewing it? If you are reviewing it, how is that eliminating actual cognitive load? If you're not reviewing it, and just taking the all tests passed as the threshold into production or worse yet, you have an agent code review it for you, then I'm actually suggesting incompetence. Now, if you are thoroughly reviewing everything and writing your own tests, then congrats you're not incompetent. But if you're suggesting this is somehow reducing cognitive load, maybe that's true for you, in a "your truth" kind of way. If you simply prefer code reviewing as opposed to code writing have it your way. I'm not sure you're joining the crowd that says this process makes them 100x more productive in coding tasks, I find that dubious and hilarious.

handfuloflight 1y ago
You're conflating different types of cognitive overhead. There's mechanical overhead (syntax, compilation, language quirks) and strategic overhead (architecture, algorithms, business logic). I'm eliminating the mechanical to focus on the strategic. You're acting like they're the same thing. Yes, I still need to verify that the generated code implements my architectural intent correctly, but that's pattern recognition and evaluation, not generation. It's the difference between proofreading a translation versus translating from scratch. Both require language knowledge, but reviewing existing code for correctness is cognitively lighter than simultaneously managing syntax, debugging, and logic creation. You are treating all cognitive overhead as equivalent, which is why you can't understand how automating the mechanical parts could be valuable. It's a fundamental category error on your part.
- obirunda 1y ago
  Do you understand what conflating means? Maybe ask your favorite gpt to describe it for you. I'm talking about the entire stack of development, from the architectural as well as the actual implementation. These are intertwined and assuming they somehow live separately is significant oversight on your part. You have claimed English is the programming language. Also. On the topic of conflating, you seem to think that LLMs have become defacto pre-compilers for English as a programming language, how do they do that exactly? In what ways do they compare/contrast to compilers? You have only stated this as a fact, but what evidence do you have in support of this? As far as the evidence I can gather no one is claiming LLMs are deterministic, so please, support your claims to the contrary, or are you a magician? You also seem to shift away from any pitfalls of agentic workflows by claiming to be doing all the due diligence whilst also claiming this is easier or faster for you. I sense perhaps that you are of the lol, nothing matters class of developers, reviewing some but not all the work. This will indeed make you faster, but like I said earlier, it's not a cost-free decision. For individual developers, this is a big deal. You may not have time to wear all the hats all at once, so writing the code may be all the time you also have for code review. Getting code back from an LLM and reviewing it may feel faster but like I said unless it's correct, it's not actually saving time, maybe it feels that way, but we aren't talking about feelings or vibes, we are talking about delivery.
  - handfuloflight 1y ago
    You're projecting. You're the one conflating here, not me. You've conflated "architectural feedback from running code" with "architectural feedback from typing syntax." I am explicitly saying implementation feedback comes from "running code and testing behavior, not from typing semicolons", yet you keep insisting that the mechanical act of typing syntax somehow provides architectural insights. You've also conflated "intertwined" with "inseparable." Yes, architecture and implementation inform each other, but that feedback loop comes from executing code and observing system behavior, not from the physical act of typing curly braces. I get the exact same architectural insights from reviewing, testing, and iterating on generated code as I would from hand-typing it. Most tellingly, you've conflated the process of writing code with the value of understanding code. I'm not eliminating understanding: I'm eliminating the mechanical overhead while maintaining all the strategic thinking. The cognitive load of understanding system design, debugging performance bottlenecks, and architectural trade-offs remains exactly the same whether I typed the implementation or reviewed a generated one. Your entire argument rests on the false premise that wisdom somehow emerges from keystroke mechanics rather than from reasoning about system behavior. That's like arguing that handwriting essays makes you a better writer than typing them : confusing the delivery mechanism with the intellectual work. So yes, I understand what conflating means. The question is: do you?

handfuloflight 1y ago

You're conflating different types of cognitive overhead. There's mechanical overhead (syntax, compilation, language quirks) and strategic overhead (architecture, algorithms, business logic). I'm eliminating the mechanical to focus on the strategic. You're acting like they're the same thing. Yes, I still need to verify that the generated code implements my architectural intent correctly, but that's pattern recognition and evaluation, not generation. It's the difference between proofreading a translation versus translating from scratch. Both require language knowledge, but reviewing existing code for correctness is cognitively lighter than simultaneously managing syntax, debugging, and logic creation. You are treating all cognitive overhead as equivalent, which is why you can't understand how automating the mechanical parts could be valuable. It's a fundamental category error on your part.

obirunda 1y ago
Do you understand what conflating means? Maybe ask your favorite gpt to describe it for you. I'm talking about the entire stack of development, from the architectural as well as the actual implementation. These are intertwined and assuming they somehow live separately is significant oversight on your part. You have claimed English is the programming language. Also. On the topic of conflating, you seem to think that LLMs have become defacto pre-compilers for English as a programming language, how do they do that exactly? In what ways do they compare/contrast to compilers? You have only stated this as a fact, but what evidence do you have in support of this? As far as the evidence I can gather no one is claiming LLMs are deterministic, so please, support your claims to the contrary, or are you a magician? You also seem to shift away from any pitfalls of agentic workflows by claiming to be doing all the due diligence whilst also claiming this is easier or faster for you. I sense perhaps that you are of the lol, nothing matters class of developers, reviewing some but not all the work. This will indeed make you faster, but like I said earlier, it's not a cost-free decision. For individual developers, this is a big deal. You may not have time to wear all the hats all at once, so writing the code may be all the time you also have for code review. Getting code back from an LLM and reviewing it may feel faster but like I said unless it's correct, it's not actually saving time, maybe it feels that way, but we aren't talking about feelings or vibes, we are talking about delivery.
- handfuloflight 1y ago
  You're projecting. You're the one conflating here, not me. You've conflated "architectural feedback from running code" with "architectural feedback from typing syntax." I am explicitly saying implementation feedback comes from "running code and testing behavior, not from typing semicolons", yet you keep insisting that the mechanical act of typing syntax somehow provides architectural insights. You've also conflated "intertwined" with "inseparable." Yes, architecture and implementation inform each other, but that feedback loop comes from executing code and observing system behavior, not from the physical act of typing curly braces. I get the exact same architectural insights from reviewing, testing, and iterating on generated code as I would from hand-typing it. Most tellingly, you've conflated the process of writing code with the value of understanding code. I'm not eliminating understanding: I'm eliminating the mechanical overhead while maintaining all the strategic thinking. The cognitive load of understanding system design, debugging performance bottlenecks, and architectural trade-offs remains exactly the same whether I typed the implementation or reviewed a generated one. Your entire argument rests on the false premise that wisdom somehow emerges from keystroke mechanics rather than from reasoning about system behavior. That's like arguing that handwriting essays makes you a better writer than typing them : confusing the delivery mechanism with the intellectual work. So yes, I understand what conflating means. The question is: do you?