7,329 karma · joined November 28, 2013
If you're stuck on your startup and need to bounce ideas, talk metrics, or figure out customer development, I'm happy to chat.
My email is personjerry [at] gmail [dot] com
My blog is at https://jerry.wtf
I'll just start a business that mails letters to companies for you.
Now, an APPLICATION FEE, that's interesting. Hmm.
I grew up in Waterloo but it's just not it lol.
> Independence
Any "agent" running against code review instead of code generation is "independent"?
> Autonomy
Most other code review tools can also be automated and integrated.
> Loops
You can also ping other code review tools for more reviews...
I feel like this article actually works against you by presenting the problem and inadequately solving them.
Scary to think about, if moving away from "Don't be evil" is the precedent for an "AGI company"
My personal site and blog
This is the heavy lifting: https://github.com/apple/ml-sharp
Previous discussion: https://news.ycombinator.com/item?id=46284658
I appreciate the feedback on the writing!
And that really is the entire question at this point: Which domains will AI win in by a sufficient margin to be worth it?
I find myself using Cookiecutter Django [^1] more often than not, better auth, a bunch of boilerplate configs, S3 and email setups if you want, and other stuff rather than have to jiggle with "Django infra" myself
For example, it feels like Google's featured snippet (quick answer box) but expanded. But the thing is, many people don't like the feature snippet, and there's a reason it doesn't appear for many queries - it doesn't contribute meaningfully to those.
This functionality is doing exactly the opposite of the process of building good web apps: Rather than "unpacking functionality" and making it specific for an audience, it "packs" all functionality into a generalized use case, at the cost of becoming extremely mediocre for each use case, which makes it precisely worse than any other tool you'd use for that job.
As a specific example, I clicked your apartments in LES search (https://www.phind.com/search/find-me-options-for-a-72e019ce-...) and it shows us just 4 listings...? It shows some arbitrary subset of all things I could find on StreetEasy, and then provides a subset of the search functionality, losing things such as days on market, neighborhood, etc.
It's a cool demo, but "on-demand software" is exactly "Solution-In-Search-of-a-Problem".
The difficult part you need to ask is, like feature snippet, what are the questions worth solving with this, and is the pain point big enough that it's worth solving?
"Quality of life" is a hugely privileged topic to be zooming in on. For the vast majority of people both inside and outside the US, Time and Money are by far the most important factors in their lives.
1. We add more functionality to the base of what exists (e.g. HTML). More and more individual features. (e.g. selecting things in the DOM, animations, effects, interactions, tracking state)
2. At some point someone takes all the patterns in the latest wave of functionality and writes a library for them. Library is widely lauded or adopted (see jquery, React).
3. We think of new features building on top what is now the new norm, it's now table stakes. Rinse and repeat.
This is a common pattern in engineering, for example writing new entries to a DB, then at some point going back and compacting.
That's because you've chosen not to read about it. Location is one of the most important things they think about for data centers and there are plenty of articles on the subject.
Here's a recent article:
https://www.cnbc.com/2025/06/25/meta-massive-data-center-lou...
“We set out looking for a place where we could expand into gigawatts pretty quickly, and really get moving within that community on a large plot of land very quickly,” said Rachel Peterson, vice president of data centers for Meta. “We looked at finding very, very large contiguous plots of land that had access to the infrastructure that we need, the energy that we needed, and could move very, very quickly for us.”
To answer the question you're implying, surrounding temperature is pretty minor, the cooling required is orders of magnitude higher, so power access is more important; You'll frequently find them located near sources of energy.
AI makes slop
Therefore, spend more time to make the slop "better" or "different"
[No, they do not define what counts as "better" or "different"]