I've had a ring camera for several years. Historically I've been mostly satisfied with it, but lately they are adding some features that are pretty annoying.

The worst is that they've been adding neighborhood alerts and other proximity alerts, with categories for traffic and weather and lost pets and things like that. Today I got a "community alert" which was actually an advertisement for a local animal shelter. I don't have anything against animal shelters, but my motion detector camera alter is not the correct venue for this message. It's clear that amazon is trying to muscle in on Nextdoor. I don't use Nextdoor. I find it to be like facebook, full of cranks and advertisements and nosey annoying people.
So now I had to wade through a few pages of menus to find where to turn of this new annoyance. Obviously, if I could I would opt out of all new features.

The other annoying thing is that they turned on some AI evaluation of what the camera sees. So I was getting messages like "there's someone with a garden hose on your lawn" or "a person is carrying a cardboard box". There were a few things wrong with this

• I didn't sign up to have this and it slows down the alerts so they are up to 30 seconds after the motion is detected
• The AI sometimes made errors, especially at certain times of day where it misidentified different things in the yard (for example, some place marked by shadow was interpreted as a sidewalk when there isn't a sidewalk there). This happens of course because the AI doesn't know anything about my property, it evaluates everything from scratch each time it looks at an image.
• The ring app started bugging me with upselling messages to pay extra for the AI messages

So yeah. I just wanted to vent about the enshittification of this thing. I'm also aware of the privacy issues of ring cameras and how they're going to use the "pet finder" functionality to keep track of everyone. But this rant isn't really about that more important stuff, just the frustration of how these tech companies won't just leave anything alone because they have different goals than us.

I've found myself replying to different people about the early 2025 METR study kind of often. So I thought I'd try posting a top level thread, consider it an unsolicitied public service announcement.

You might be familiar with the study because it has been showing up alongside discussions about AI and coding for about a year. It found that LLMs actually decreased developer productivity and so people love to use it to suggest that the whole AI coding thing is really a big lie and the people who think it makes them more productive are hallucinating.

Here's the thing about that study... No one seems to have even glanced at it!

First, it's from early 2025, they used Claude Sonnet 3.5 or 3.7. Those models are no way comparable to current gen coding agents. The commonly cited inflection point didn't happen until later in 2025 with, depending on who you ask, Sonnet 4.5 or Opus 4.5

The study was comprised of 16 people! If those 16 were even vaguely representative of the developer population at the time most of them wouldn't have had significant experience with LLMs for coding.

These are not tools that just work out of the box, especially back then. It takes time and experimentation, or instruction, to use them well.

It was cool that they did the study, trying to understand LLMs was a good idea. But it's not what anyone would consider a representative, or even well thought out, study. 16 people!

But wait! They did a follow up study later in 2025.

This time with about 60 people and newer models and tools. In that study they found the opposite effect, AI tools sped developers up (which is a shock to no one who has used these tools long enough to get a feel for them). They also mentioned:

However the true speedup could be much higher among the developers and tasks which are selected out of the experiment.

In addition they had some, kind of entertaining, issues:

Due to the severity of these selection effects, we are working on changes to the design of our study.

Back to the drawing board, because:

Recruitment and retention of developers has become more difficult. An increased share of developers say they would not want to do 50% of their work without AI, even though our study pays them $50/hour to work on tasks of their own choosing. Our study is thus systematically missing developers who have the most optimistic expectations about AI’s value.

And...

Developers have become more selective in which tasks they submit. When surveyed, 30% to 50% of developers told us that they were choosing not to submit some tasks because they did not want to do them without AI. This implies we are systematically missing tasks which have high expected uplift from AI.

And so...

Together, these effects make it likely that our estimate reported above is a lower-bound on the true productivity effects of AI on these developers.

[...]

Some developers were less likely to complete tasks that they submitted if they were assigned to the AI-disallowed condition. One developer did not complete any of the tasks that were assigned to the AI-disallowed condition.

[...]

Altogether, these issues make it challenging to interpret our central estimate, and we believe it is likely a bad proxy for the real productivity impact of AI tools on these developers.

So to summarize, the new study showed a productivity increase and they estimate it's larger than the ~20% increase the study found. Cheers to them for being honest about the issues they encountered. For my part I know for sure that the increase is significantly more than 20%. The caveat, though, is that is only true after you've had some experience with the tools.

The truth is that we don't need a study for this, any experienced engineer can readily see it for themselves and you can find them talking about it pretty much everywhere. It would be interesting, though, to see a well designed study that attempted to quantify how big the average productivity increase actually is.

For that the participants using AI would need to be experienced with it and allowed to use their existing setups.

I want to add that this is not an attempt to evangelize for AI. I find the tools useful but I'm not selling anything. I'm interested in them and I stay up to date on the conversations surrounding them and the underlying technology. I use them frequently both for my own projects and to help less technical people improve their business productivity.

Whether AI agents are a good thing or not, from a larger perspective, is a very different, and complicated, conversation. The important thing is that utility and impact are two different conversations. There isn't a debate anymore about utility.

I know this probably won't stop people from continuing to derail conversations with the claim that developers are wrong about utility, but I had to try. It's just hard to let it pass by when someone claims the sky is green.

I understand that AI makes people angry and I think they have good reason to be angry. There are a lot of aspects of the AI revolution that I'm not thrilled about. The hype foremost, the FOMO as part of the hype, the potential for increased wealth consolidation really sucks, though I lay that at the feet of systems that existed before LLMs came along.

It's messy, but let's consider giving the benefit of the doubt to professionals who say a tool works instead of claiming they're wrong. Let them enjoy it. We can still be angry at AI at the same time.

Decided I wanted to try vibe-coding some stuff. It's been a very long time since I coded anything, and it was all very amateurish, but as the tooling has become better I wanted to give a shot at some silly ideas. Got tired of writing about random teaching and AI related stuff, decided I wanted to build some more stuff to get more acquainted with agentic tooling.

I have gathered some sparse links here and there, but I was hoping the community here may know of some more "definitive" guides. My plan is to use Claude Code, but if people want to share guides for other coding agents (Codex, etc.) please feel free.

Very interested in iOS app development if that helps, but I feel that best practices can likely look very similar across platforms and tools.