I think there is still place for this type of coding where you autocomplete predictable chunks and review it as you go.But I haven't seen much development in this space. Are there any notable models optimized for this task or full/semi-autonomous coding has taken over?
noaidecember.com
It's fun :)
I hope that professionalism still matters as these new ways of doing things strikes me as unprofessional as f...
Yeah, the next macOS will be worse... time to place bet on prediction market
I love it.
Now, you don't do thing and do other things when LLMs get stuck. There is no "given enough time I can do it".
I can't see how somebody would go solving slop bugs (slugs :)) in heavy AI generated codebase.
Hope, I'm wrong but that's somehing I personally encountered. Stay sharp.
It makes sense but it's still weird that your instructions to the machine needs to sound like talking to human. This is just side effect of how is the machine trained and constructed.
The question is if you can have it all? Can you get faster results and still be growing your skills. Can we 10x the collective mind knowledge with use of AI or we need to spend a lot of time learning the old wayTM to move the industry forward.
Also nobody needs to justify what tools they are using. If there is a pressure to justify them, we are doing something wrong.
New year, new website to keep it simple.
It's not productive but hell it is rewarding to dive deep into lower levels.
No regrets so far.
I was so angry at first when I found out that this was my last train and I missed it but it turned out to be great story I can tell :)
Thank you strangers, I'll repay it back to somebody in the future
I have warm pool of lightweight containers that can be reused between runs. And that's the crucial detail that makes or breaks it. The good news is that you can lock it down with seccomp while still allowing normal execution. This will give you 10-30ms starts with pre-compiled python packages inside container. Cold start is as fast as spinning new container 200-ish ms. If you run this setup close to your data, you can get fast access to your files which is huge for data related tasks.
But this is not suitable for type of deployment Cloudflare is doing. The question is whether you even want that global availability because you will trade it for performance. At the end of the day, they are trying to reuse their isolates infra which is very smart and opens doors to other wasm-based deployments.
but wow, it must be stressful to deal with this
This can't be solved without fully trusting the LLM period.
Just don't autopilot on important code you want to own. That's good start.
No cloud based AI is the hardcore version of it for sure.
I hope local models will fill 80% of use-cases so we are not tight to the big guys.
How long are you using your setup?
I would add that doing things on your own, which is probably never optimal from time perspective, may open doors to solutions that you haven't seen before.
I recently experienced this is by not going through the beaten path - installing well-known dependencies and building solution based on that. I chose to experiment a bit and it turned out that I usually use small % of imported code.
It really changed how I look at dependencies.
When it comes to frontend, well I don't have answers yet.