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It’s obviously farcical. Anyone seriously using these tools knows that context engineering and detailed specific prompting is the way to be effective with agen
by noodletheworld 1y ago
It’s obviously farcical.
Anyone seriously using these tools knows that context engineering and detailed specific prompting is the way to be effective with agent coding.
Just take it to the extreme and youll see; what if you auto complete from a single word? A single character?
The system youre using is increasingly generating some random output instead of what you were either a) trying to do, or b) told to do.
Its funny because its like,
“How can we make vibe coding even worse?”
“…I know, lets just generate random code from random prompts”
There have been multiple recent posts about how to direct agents using a combination of planning step, context summary/packing, etc to craft detailed prompts that agents can effectively action on large code bases.
…or yeah, just hit tab and go make a coffee. Yolo.
This could have been a killer feature about using a research step to enhance a user prompt and turn it into a super prompt; but it isnt.
- simianwords 1y agoWhat’s wrong with autocompleting the prompt? There exists entropy even in the English language and especially in the prompts we feed to the llms. If I write something like “fix the ab..” and it autocompletes to AbstractBeanFactory based on the context, isn’t it useful?
- yunwal 1y agoAgreed with your point, but entropy is almost the opposite of what you wanted to express here (which is that the English language is compressible).
- simianwords 1y agoYes agreed maybe compressibility was the right term. (Opposite of high entropy)