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@ Tekkadan 🐸
2025-05-01 09:15:08
You both raise good arguments that I don't disagree with. I have always favored LLM's for less intensive tasks than development, though agentic VScode is the beginning of agentic architectural development. Manus seems to be spinning off in the "less architectural, more functional analytics" use-case as to revitalize what I believe is best about LLM.
I would argue nostr:nprofile1qqsyeqqz27jc32pgf8gynqtu90d2mxztykj94k0kmttxu37nk3lrktcprdmhxue69uhhg6r9vehhyetnwshxummnw3erztnrdakj7qg3waehxw309ahx7um5wghxcctwvshsz9thwden5te0w3jhxapwd4kx26m49ejx2a30j09tjd's statistic with hallucinations regarding code or development versus simple data analytics or otherwise.
For image generation there is a lot of simple and complex processes that can improve outputs significantly, but the cost (time) is the limitation. How complex of a workflow is necessary to achieve the finished result? How many similar images or themes will be recycled, and how many times? In simple projects you can use public models and LORAs to achieve plenty of good results.
With LLM we are just breaking into MCP workflows which will continue to enable other apps with less demand on the models themselves. GenAI is growing in efficiency while simultaneously blowing its load to fundraise.
All of this is to say, yes developing with AI is slop and garbage, and yes it's getting better, and no it's not going to take over the world but ultimately does come down to your goals and the cost vs. complexity of workflows. There is a time and place for all forms of AI, but it only shines when the conditions are satisfactory.