Parallel AI agents are a game changer
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Parallel AI agents are a game changer
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Re: Parallel AI agents are a game changer
#2Look, I like AI coding but we're already way past the need for parallelism.
LLMs write so much code in such a short time that the bottleneck is already the human having to review, correct, rewrite.
Parallel agents working on different parts of the application just compound this problem worse, it's impossible to catch up.
The only far fetched use case I can see is swarming hundreds of solutions against a properly designed test case and spec documents and having an agent selecting the best solutions.
Still, I'm quite convinced humans would be the bottleneck.
Re: Parallel AI agents are a game changer
#3Look, I like AI coding but we're already way past the need for parallelism. LLMs write so much code in such a short time that the bottleneck is already the human having to review, correct, rewrite. Parallel agents working on different parts of the application just compound this problem worse, it's impossible to catch up. The only far fetched use case I can see is swarming hundreds of solutions against a properly desi…
You are the main thread:
https://www.claudelog.com/mechanics/you-are-the-main-thread/
Re: Parallel AI agents are a game changer
#4Wouldn't the first "AI" use in coding be code suggestions that IDE's have already had since before LLMS?
Or UML tool that generate code?
Re: Parallel AI agents are a game changer
#5The sweet spot for me is 2 agents on different projects. Surprisingly the context switch is easy. It's harder when doing 2 tasks on the same project.
Re: Parallel AI agents are a game changer
#6Wouldn't the first "AI" use in coding be code suggestions that IDE's have already had since before LLMS? Or UML tool that generate code?
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Re: Parallel AI agents are a game changer
#7[deleted]
Re: Parallel AI agents are a game changer
#8When I read the title, I thought you were referring to https://parallel.ai, which also is a game changer in my opinion :)
PS: I have no affiliation with Parallel the company
Re: Parallel AI agents are a game changer
#9I use Claude every day. When I give it a program that does something straightforward in one file and it writes it from scratch, it does great. When I have it fix issues or add functionality to small to medium sized apps that have a mostly simple design, it does great. When I point it at codebases that are 20 years old and have a lot of indirection in their design due to years of hard lessons learned and a lot (like a LOT) of cases covered, it really struggles (just read my profile to know what codebase this is). I mostly try to get it to write changelog messages, docs and tests, where it works, but I have to really wrestle with it. I can't imagine doing anything on "vibes" and it all seems quite ridiculous if you are working on hardcore library oriented software with tens of thousands of users.
If we're going to say, who cares, with LLMs we'll never need 20 year old codebases we'll just keep writing new stuff, OK you do you.
Re: Parallel AI agents are a game changer
#10Look, I like AI coding but we're already way past the need for parallelism. LLMs write so much code in such a short time that the bottleneck is already the human having to review, correct, rewrite. Parallel agents working on different parts of the application just compound this problem worse, it's impossible to catch up. The only far fetched use case I can see is swarming hundreds of solutions against a properly desi…
It really depends on the project. For example, there's a lot of thorny devops debugging where I can just let Claude spin for 30 minutes and it'll solve the problem (or fail) with a relatively short final answer.
The sweet spot for me tends to be running one of these slower projects on a worktree in the background, and one more active coding project.