I am curious about the exceptions. Is *anybody* using an agent framework with large production usage? I suspect no, but curious to see if anybody on HN knows otherwise.
Konfig founder here, 100% agree. I wouldn't recommend anybody to actually try to decipher/deploy Konfig for their own use. I will say that one of our customers was able to deploy our docs platform for themselves while they find a way to deal with the blowout of Konfig shutting down.
>I wouldn't recommend anybody to actually try to decipher/deploy Konfig for their own use.
This is interesting. I used to work for a mortgage start-up years ago. They built several products for banks and home builders, such as a mortgage vault and tools for signing mortgage documents online.
One condition I still remember was that bank customers required us to put our code in escrow, held by lawyers, in case the company went under. I always wondered if customers could rebuild the code, allocate more resources to develop and maintain it, or simply look for an alternative solution.
they came to us for our solution. I assumed they either couldn’t build it themselves or didn’t want to invest in a custom solution.
i have been involved in quite a few code escrow agreements but none that were actually used. i'd be curious to hear any stories about cases where that did happen.
in my experience it has just been a way to help business decision makers credibly claim they are managing risk when buying from a startup
I imagine that it is for either insurance or regulatory reasons. Someone upstream is nervous about the bank relying on a startup for its core infrastructure, and is only placated by knowing that the code is in escrow. They're not themselves programmers and don't know how useless the code would be without the institutional knowledge of the startup.
Interesting read. Contrary to what HN thinks, I think its good that VCs feel a forcing function to differentiate themselves. Like any other market, competition is good.
I don’t know what HN thinks, but you touch upon a good point that VCs do feel this need to differentiate. It reflects the broader shift where promising founders have more say and VCs aim to offer more than just money.
But still, experiments only happen in one context so its hard to extrapolate how the results would predict your own situation. This is why I think parsing opinions is a great through-provoking exercise.
It depends on the purpose of the analysis. To have any place in serious decision making, the methodology itself needs to be justified. One cannot simply assume that filtering social media posts by upvotes translates to real differences in the software development lifecycle. To give an anecdotal example of challenges with the given approach, most professional developers I've met do not meaningfully track time spent on tasks. So one of the questions that could be raised is: do developers on social media even have the data or experience to make these evaluations?
Please do not take this criticism personally, but it also fails as a survey. Two issues that immediately stand out are that responses were filtered out entirely for not being the most popular and then the remainder were cherry picked based on unclear criteria. You seem to have an interest in surveys and many of the skills needed to conduct them, so it would benefit you to study the topic more scientifically. Wish you the best.
