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- Hacker News
- Please fix your writing and make it more user friendly to the users you want to read it. As of now, it reads like unedited AI slop.by tirrellp
- I actually think it is people who write using these terrible short punchline sentences. In my experience, llms do better job at generating complicated sentences.by penetrarthur
- "Building an application used to mean orchestrating roles over time: one person designed, another challenged the architecture, a third tested, a fourth deployed."
What? That's not my experience at all, this lost me very quickly.
- It reveals the exact type of mindset that could produce an article like this. All they know is waterfall, so they see agentic coding and think: "you know what we need? More waterfall"by wesselbindt
- I agree with you.
I'm sure the author means well, but it comes off as someone who lacks real-world experience sharing what they think is an ideal team structure when building apps.
That's just my opinion, but yeah, the article doesn't resonate with my experience at all, and I've been at this a while.
by herodoturtle - With all the roles and harnessing and boiler plate, it kind of makes me wonder if we shouldn't just spend a year or two doing genuinely good software development and then everything trained on it would be good by default?by yapadog
- lol - it's probably going to just get worse. AI will continue to generate ghetto code and nobody cares so it will just degrade even further.by AdamN
- Every time I read in some blog about an unproven technique which is profitable for token sellers I'm reminded of those overpriced restaurants that became "instagram popular" because the cool kids got paid a bundle of money to promote them.
In real life the only time I saw somebody try this "multiagentic coding" the results were...underwhelming.
by pydry - (Op here)
I genuinely think that multi-agent is a probable future to enable coding at the scale of a big corporation.
I agree and I did not see it work yet, but the trial were most likely on small scale where it is simply over engineering.
(Btw : I do not sell tokens. I I think distributed the work through agents in a plateform is a way to control costs by optimizing specialised agents)
by owulveryck - In real life only a minority of teams achieved good results according to Circle CI report.
And there is one notable anecdotal source proving that it is possible - https://ideas.fin.ai/p/2x-nine-months-later
by zihotki - The complexity was real, and honestly that’s a good calloutby n0us
- I just came here to post that I couldn't read past 'The complexity was real, but distributed'. I can get past these LLM constructions when Claude uses them in chat. They seriously undermine the credibility of comment pieces or guides like this one when I encounter them. I absolutely hate it when I get them in a lengthy response to a simple question to a colleague about why we're going to do something a particular way.by jonners00
- The 'reading effort : meaning' ratio of this post is a bit painful.
There are about 3 named concepts in every paragraph.
There are about 15 claims about named concept being the solution to a problem that's never explained.
At some point, if you try to make 20 different points, you make no point at all.
by nilirl - It refers to Team Topologies, which is mostly that. Management literature fluff with little substance, but many claims.
Which then gives you great insights like
"a team can only be effective if it carries no more complexity than it can absorb."
by steve1977 - My co-worker and I call AI output like this “an overexertion of words:” the excessive jargon or concept-packing AI tends to do. “Overexertion” here being a collective noun like “a kaleidoscope of butterflies” or “a murder of crows.”
- Thank you for the feedback. I actually use AI as a ghost writer, but I am guilty: I usually tend to add too many concepts for a single article (even without AI).
I usually follow Divio’s documentation to reference explanations and references, but it is not suitable for a blog post
by owulveryck - It's got all the indicators of being AI generated, so really not surprising at all. I lost track of how many "this, not that" and "this, but also" within a few paragraphs. LLMs tend to prefer sounding clever over simple terminology.by mathgeek