This inspired me to point the latest models at a bunch of my older projects, resulting in a flurry of fixes and unblocks.
More realistically, I could see particular languages and frameworks proving out to be more well-designed and apt for AI code creation; for instance, I was always too lazy to use a strongly-typed language, preferring Ruby for the joy of writing in it (obsessing about types is for a particular kind of nerd that I've never wanted to be). But now with AI, everything's better with strong types in the loop, since reasoning about everything is arguably easier and the compiler provides stronger guarantees about what's happening. Similarly, we could see other linguistic constructs come to the forefront because of what they allow when the cost of implementation drops to zero.
I think the main limitation on the current models is not that cpu instructions aren't cpu instructions (even though they can be with .asm), it's that they are causal, the cpu would need to generate a binary entirely from start to finish sequentially.
If we learned something over the last 50 years of programming is that that's hard and that's why we invented programming languages? Why would it be simpler to just generate the machine code, sure maybe an LLM to application can exist, but my money is in that there will be a whole toolchain in the middle, and it will probably be the same old toolchain that we are using currently, an OS, probably Linux.
Isn't it more common that stuff builds on the existing infra instead of a super duper revolution that doesn't use the previous tech stack? It's much easier to add onto rather than start from scratch.
> Use triggers to track when rows in a SQLite table were updated or deleted
Just a note in case its interesting to anyone, sqlite compatible Turso database has CDC, a changes table! https://turso.tech/blog/introducing-change-data-capture-in-t...
They come up with passable solutions and are good for getting juices flowing and giving you a start on a codebase, but they are far from building "entire software products" unless you really don't care about quality and attention to detail.
In my experience it’s more like idiot savant engineers. Still remarkable.
Which I guess feeds back to prompting still being critical for getting the most out of a model (outside of subjective stylistic traits the models have in their outputs).
Careful.
Gemini simply, as of 3.0, isn't in the same class for work.
We'll see in a week or two if it really is any good.
Bravo to those who are willing to give up their time to test for Google to see if the model is really there.
(history says it won't be. Ant and OAI really are the only two in this race ATM).