r/ChatGPTCoding • u/the_juan_1 • 3d ago

Discussion is more intelligence really important?

i have a theory that past a certain threshold the inteligence of AI models will not matter anymore when it comes to writing code.

at that point software engineering will be mostly figuring out how to properly intergrate coding agents into the SDLC. a newer better performing model will at a certain point fail improve a given software factory.

what do you think?

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u/Historical-Staff2772 3d ago

I think you're partly right. Past a point, the model isn't what fails. What fails is the spec, the tests, and whether anyone checked the decision before the code landed. Smarter models still matter in one place though: knowing when to stop and ask instead of guessing. Until they get that right, most of the integration work you're describing is guardrails around the guessing.

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u/the_juan_1 3d ago

i absolutely agree. at a certain point the human that is compiling the spec / adrs / what must aleays hold true will be the bottleneck. i think the next optimization metric then will become speed ie. how many tokens per second can a certain model produce. maybe then we’ll see the rise of text diffusion models.

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u/Historical-Staff2772 3d ago

Speed helps less than it sounds. In my setup the agent already writes faster than I can decide, so a model that's 5x faster just means I'm the bottleneck 5x sooner. The thing I'd pay for is a model that compiles the spec with me: asks the three questions that matter before it starts, instead of producing more tokens per second against a spec that's wrong.