Being a nondeterministic tool, the output for a given input can vary. Rather than having a solid plan of, "if I provide this input, then that will happen", it's more like, "if I do something like this, I can expect something like that, probably, and if not, then try again until it works, I suppose".
What are the productivity gains? Obviously, it must vary. The quality of the tool output varies based on numerous criteria, including what programming language is being used and what problem is trying to be solved. The fact that person A gets a 10x productivity increase on their project does not mean that person B will also get a 10x productivity increase on their project, no matter how well they use the tool.
But again, tool usage itself is variable. Person A themselves might get a 10x boost one time, and 8x another time, and 4x another time, and 2x another time.
For the longest time, the joy of creation in programming came from solving hard problems. The pursuit of a challenge meant something. Now, that pursuit seems to be short-circuited by an animated being racing ahead under a different set of incentives. I see a tsunami at the beach, and I’m not sure whether I can run fast enough.
Not to mention many companies speedrunning systems of strange and/or perverse incentives with AI adoption.
That being said, Welch’s grape juice hasn’t put Napa valley out of business. Human taste is still the subjective filter that LLMs can only imitate, not replace.
I view LLM assisted coding (on the sliding scale from vibe coding to fancy auto complete) similar to how Ableton and other DAW software have empowered good musicians that might not have made it otherwise due to lack of connections or money, but the music industry hasn’t collapsed completely.
Being a nondeterministic tool, the output for a given input can vary. Rather than having a solid plan of, "if I provide this input, then that will happen", it's more like, "if I do something like this, I can expect something like that, probably, and if not, then try again until it works, I suppose".
What are the productivity gains? Obviously, it must vary. The quality of the tool output varies based on numerous criteria, including what programming language is being used and what problem is trying to be solved. The fact that person A gets a 10x productivity increase on their project does not mean that person B will also get a 10x productivity increase on their project, no matter how well they use the tool.
But again, tool usage itself is variable. Person A themselves might get a 10x boost one time, and 8x another time, and 4x another time, and 2x another time.
For the longest time, the joy of creation in programming came from solving hard problems. The pursuit of a challenge meant something. Now, that pursuit seems to be short-circuited by an animated being racing ahead under a different set of incentives. I see a tsunami at the beach, and I’m not sure whether I can run fast enough.
Not to mention many companies speedrunning systems of strange and/or perverse incentives with AI adoption.
That being said, Welch’s grape juice hasn’t put Napa valley out of business. Human taste is still the subjective filter that LLMs can only imitate, not replace.
I view LLM assisted coding (on the sliding scale from vibe coding to fancy auto complete) similar to how Ableton and other DAW software have empowered good musicians that might not have made it otherwise due to lack of connections or money, but the music industry hasn’t collapsed completely.
In the music world, I would say that, rather than DAWs, LLM-assisted coding is more like LLM-assisted music creation.