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llamafacts
@llamafacts.eth
Today I learned that sometimes breaking down a large task into smaller tasks for an LLM might not be enough. Try an increasing "agile" approach instead. LLMs are great at repeating patterns and if you start with a simpler version of your feature and improve it from there, the LLM will understand better what to do.
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Jason
@jachian
I do this a ton by scaffolding my project with docs and starting from their most basic elements
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Drew Trombley
@dtrom
This is part of why when you begin with a playbook or “defined steps” (or something like a course syllabus) the results are much better. Smaller tasks that are dependent on the previous are a good way to keep these tools in check.
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Blinky Stitt
@flashprofits.eth
Hard disagree. Steps 1-4 get entirely thrown away in your preferred way. You don't glue two motorcycles together to get a car.
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