The paradox of AI-assisted coding: brilliant but clumsy
By
gritzko
Summary
A developer reflects on the paradox of using advanced AI coding tools (specifically Anthropic's Fable) to build software, noting that while the model is brilliant at spotting issues and making fixes, it still makes basic mistakes like committing build directories. The author connects this to Andrej Karpathy's observation that AI researchers are "automating themselves away," and argues that due to the imprecise, non-deterministic nature of LLMs, these fundamental issues won't disappear with further progress.
Source
Hacker NewsThe paradox of AI-assisted coding: brilliant but clumsyreplicated.liveKey quotes
· 4 pulledA. Karpathy once said that OpenAI researchers are effectively 'automating themselves away' by improving their AI.
Right now I develop Beagle SCM with Anthropic's Fable and it is of course a brilliant model able to spot nits in a mountain of code, file tickets, make fixes.
Still, yesterday it managed to commit the build/ dir into a project, twice. It is brilliant, but clumsy.
Due to the nature of LLMs, this issue is not going away as they progress further. They tend to be imprecise and non-deterministic.
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