The article throws out a lot of potential issues with AI generated code, but doesn't stop for a moment to consider if solutions currently exist or might exist to these problems.
- Before LLMs, provided that your team did some of their due diligence, you could always expect to have some help when tackling new code-bases.
Has the author never worked on legacy code before?
- (oh, and it has forgotten everything about the initial writing process by then).
Does the author not think this can ever be solved?
- Because of the situation of a Bus Factor of zero that it creates, vibe coding is fundamentally flawed. That is, only until there is an AI that can generate 100% accurate code 100% of the time, and it is fed 100% accurate prompts.
Why does it require 100% accuracy 100% of the time? Humans are not 100% accurate 100% of the time and we seem to trust them with our code.
- Before LLMs, provided that your team did some of their due diligence, you could always expect to have some help when tackling new code-bases.
Has the author never worked on legacy code before?
- (oh, and it has forgotten everything about the initial writing process by then).
Does the author not think this can ever be solved?
- Because of the situation of a Bus Factor of zero that it creates, vibe coding is fundamentally flawed. That is, only until there is an AI that can generate 100% accurate code 100% of the time, and it is fed 100% accurate prompts.
Why does it require 100% accuracy 100% of the time? Humans are not 100% accurate 100% of the time and we seem to trust them with our code.