pho

faux

Yep I've got a working iOS app, a v.2 branched and on the way, with a ton of MapKit integrations. Unfortunately I'm getting depreciation errors and having to constantly remind the AI that it's using old code, showing it examples of new code, and then watching it forget as we keep talking.

Still, I have a working iOS app, which only took a few hours. When Jack Dorsey said he'd vibe coded his new app in a long weekend, I'm like, hey me too.

I don't doubt this is true. I've been playing with an A.I and some fairly simple python scripts and it's so tedious to get the A.I. to actually do something to the script correctly. Learning to prompt is a skill all it's own.

In my experience it's much more useful for doing things like in AWS like create a Cloudformation template or look through user permissions for excess privileges or setup a backup schedule, like at scale when you have lots of accounts and users, etc.

I like to think typos like that confirm my humanity

shhh don’t let the bots in on our secret

also now I’m hungry for phở

Coders spent more time prompting and reviewing AI generations than they saved on coding. On the surface, METR's results seem to contradict other benchmarks and experiments that demonstrate increases in coding efficiency when AI tools are used. But those often also measure productivity in terms of total lines of code or the number of discrete tasks/code commits/pull requests completed, all of which can be poor proxies for actual coding efficiency. These factors lead the researchers to conclude that current AI coding tools may be particularly ill-suited to "settings with very high quality standards, or with many implicit requirements (e.g., relating to documentation, testing coverage, or linting/formatting) that take humans substantial time to learn." While those factors may not apply in "many realistic, economically relevant settings" involving simpler code bases, they could limit the impact of AI tools in this study and similar real-world situations.

Some of my projects wouldn’t have been finished without AI.

This says way more about you than it says about AI tools

With enough training data from me and chatbots will spell like shit. Bad grammar as well.

LLMs can't forget things because they are not capable of memory.

Coders spent more time prompting and reviewing AI generations than they saved on coding. On the surface, METR's results seem to contradict other benchmarks and experiments that demonstrate increases in coding efficiency when AI tools are used. But those often also measure productivity in terms of total lines of code or the number of discrete tasks/code commits/pull requests completed, all of which can be poor proxies for actual coding efficiency. These factors lead the researchers to conclude that current AI coding tools may be particularly ill-suited to "settings with very high quality standards, or with many implicit requirements (e.g., relating to documentation, testing coverage, or linting/formatting) that take humans substantial time to learn." While those factors may not apply in "many realistic, economically relevant settings" involving simpler code bases, they could limit the impact of AI tools in this study and similar real-world situations.