Multi-Agentic Software Development Is a Distributed Systems Problem
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Re: Multi-Agentic Software Development Is a Distributed Systems Problem
#2Re: Multi-Agentic Software Development Is a Distributed Systems Problem
#3Re: Multi-Agentic Software Development Is a Distributed Systems Problem
#4The thing that TFA doesn't seem to go into is that these mathematical results apply to human agents in exactly the same way as they do to AI agents, and nevertheless we have massive codebases like Linux. If people can figure out how to do it, then there's no math that can help you prove that AIs can't.
Re: Multi-Agentic Software Development Is a Distributed Systems Problem
#5This might be obvious to everyone but it’s a nice way to me to view it (sort of restating the non-waterfall (agile?) approach to specification discovery)
Ie waterfall design without coding is too under specified, hence the agile waterfall of using code iteratively to find an exact specification
Re: Multi-Agentic Software Development Is a Distributed Systems Problem
#6Re: Multi-Agentic Software Development Is a Distributed Systems Problem
#7The thing that TFA doesn't seem to go into is that these mathematical results apply to human agents in exactly the same way as they do to AI agents, and nevertheless we have massive codebases like Linux. If people can figure out how to do it, then there's no math that can help you prove that AIs can't.
Humans can also count the number of Rs in strawberry, but good luck proving that mathematically
Re: Multi-Agentic Software Development Is a Distributed Systems Problem
#8The thing that TFA doesn't seem to go into is that these mathematical results apply to human agents in exactly the same way as they do to AI agents, and nevertheless we have massive codebases like Linux. If people can figure out how to do it, then there's no math that can help you prove that AIs can't.
Humans can also count the number of Rs in strawberry, but good luck proving that mathematically
You can certainly prove that mathematically, and giving that proof to an LLM it will give you the correct answer. Which is a prompting technique btw to improve accuracy of an LLMs results.
Although the more recent LLMs have built in approaches to answer this question.
Gemma4 for example:
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The user is asking for the number of 'r's in the word "strawberry".
* S
* T
* *R* (1)
* A
* W
* B
* E
* *R* (2)
* *R* (3)
* Y
There are 3 'r's.
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GPT-OSS-120b example.
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The user asks: "How many r's in strawberry." This is a straightforward counting problem: count the letter 'r' in the word "strawberry". The word "strawberry" contains letters: s t r a w b e r r y. Count r's: there are three 'r's? Let's check: s(1) t(2) r(3) a(4) w(5) b(6) e(7) r(8) r(9) y(10). Actually the word is "strawberry". Let's write out: s, t, r, a, w, b, e, r, r, y. So there are three r's: at positions 3, 8, 9. Yes, three r's. So answer: 3.
But we may also note that "r" appears three times.
Thus answer: 3.
We can provide a short answer.
Thus final: There are three r's in "strawberry".
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Re: Multi-Agentic Software Development Is a Distributed Systems Problem
#9Doesn't this whole argument fall apart if we consider iteration over time? Sure, the initial implementation might be uncoordinated, but once the subagents have implemented it, what stops the main agent from reviewing the code and sorting out any inconsistencies, ultimately arriving at a solution faster than it could if it wrote it by itself?
At the end, in both cases, it's a back and forth with an LLM, and every request has its own lifecycle. So it's unfortunately at least a networked systems problem. I think your point works with infinite context window and one-shot ting the whole repo every time... Maybe quantum LLM models will enable that
Re: Multi-Agentic Software Development Is a Distributed Systems Problem
#10Good architecture, actor models, and collaboration patterns do not emerge magically from “more agents”.
Maybe what’s missing is the architect’s role.