alt Hacker News> The last 20%, while possible to attain, is ultimately not worth it for the amount of time you spend in context hells. You can just do it yourself faster.
I'm arguing that there's a skill that has to be learned in order to break through this. As you start in a new code base, you should be quick to jump in when you hit that 20%. But, as you spend more time in it, you learn how to avoid the same "context hell" issues and move that number down to 15%, 10%, 5% of the time.
You're still going to need to jump in, but when you can learn to get the LLM to write 95% of the code for you, that's incredibly powerful.
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> 'm arguing that there's a skill that has to be learned in order to break through this. As you start in a new code base, you should be quick to jump in when you hit that 20%. But, as you spend more time in it, you learn how to avoid the same "context hell" issues and move that number down to 15%, 10%, 5% of the time.
The problem is that you're learning a skill that will need refinement each time you switch to a new model. You will redo some of this learning on each new model you use.
This actually might not be a problem anyway, as all the models seem to be converging asymptotically towards "programming".
The better they do on the programming benchmarks, the further away from AGI they get.
It’s not incredibly powerful, it’s incrementally powerful. Getting the first 80% via LLM is already the incredible power. A sufficiently skilled developer should be able to handle the rest with ease. It is not worth doing anything unnatural in an effort to chase down the last 20%, you are just wasting time and atrophying skills. If you can get full 95% in some one shot prompts, great. But don’t go chasing waterfallls.