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Launch HN: Second (YC W23) – AI bots that add features to web apps

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Re: Launch HN: Second (YC W23) – AI bots that add features to web apps

#151

Earlier quoted context omitted.

The main value prop of Second is that it can generate large volumes of code for common web app features, and integrate it into your codebase via GitHub

So to confirm it won't generate new features from prompts, but only templated scenarios? Is there a list of templated scenarios that you currently support?

Correct! Second generates new features from configurable modules in the Second UI. I cannot use a prompt because this would require massive context windows (4k tokens is the limit). I'm using configurations so that I can use a mix of compilers and GPT-3. My compilers construct individual prompts for different tasks.

Re: Launch HN: Second (YC W23) – AI bots that add features to web apps

#152
post #60

Are you using this to build the product itself? Seems like a prime candidate for dogfood. If yes, where has it been useful, and if not, what does it not handle well?

Yea great question! So yes, I used Second to build the foundation, auth, and DB stuff (starter plan stuff). But other parts of my app have not been ported back into modules yet (which will become Pro modules).

At some point I want to do a full rebuild of Second using Second to test out all of the modules together. But I'm not quite there yet!

Re: Launch HN: Second (YC W23) – AI bots that add features to web apps

#153
I duplicated a repo to test this out on and signed up, only to find that all I could try out was Authentication. That's probably one of the features most dependent on which library or identity provider you are using and they only have one library for now.

Wish I could have actually tried this out.

Re: Launch HN: Second (YC W23) – AI bots that add features to web apps

#154
post #93

I had a similarish vision/idea about 7ish years ago https://github.com/Hactar-js/hactar I was way too early though and it didn't work well. I have recoded it probably half a dozen times since then and the latest prototype attempt used GPT as the core tech. The biggest hurdle I found was that it just wasn't deterministic enough. You can work around this with mixing and matching custom compilers into the workflow but t…

I believe that now is the perfect time. Generative code generation is legit with GPT-3. I am constantly surprised at the results. And it will only get better.

Re: Launch HN: Second (YC W23) – AI bots that add features to web apps

#156
post #45

From the video, Second looks more like a UI wrapped over a boilerplate generators that have existed for quite a while. It's a pretty powerful one, and that can be very useful in itself but how is AI involved here? If it is, was it needed in the first place? I was expecting the inputs to be more along, "give me an app to manage a restaurant", but the inputs are modules (Forgot password, billing), which are generic pie…

This comment gave me the Dropbox vibes of 2007: https://news.ycombinator.com/item?id=8863 :)

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Re: Launch HN: Second (YC W23) – AI bots that add features to web apps

#159
Fascinating, i personally can't see myself using for anything more than setting up a project though, maybe you can provide an examples page where you show how useful it is for existing large scale projects?

also regarding the customers you've already onboarded, possibly worth it to make case study blogs?

Re: Launch HN: Second (YC W23) – AI bots that add features to web apps

#160

Man, what will be left for devs.

If the code has been written before, and is available online (GitHub, Stack overflow etc.), GPT is just a much better search engine than Google.

Even though CMSs have been around for decades, there are MANY, and many new ones created all the time. Companies and people have reasons for reinventing the wheel with a proprietary solution (sometimes control, sometimes legal, etc.).

So, you'll still have a job.

If the code hasn't been written before, gen-AI will be able to help flesh out a structure from requirements, but you'll still need a dev to make sure the all of the requirements are present (based on what humans know about humans within the context of the problem being solved) and that logic is solid (AI can supplement here). Especially when you start creating or modifying 1M+ line codebases.

And humans will always trust humans (or humans + machines) more than machines acting alone. Maybe I'm just starting to sound old, but "AI + Da Vinci" is NEVER performing an operation on my body. I'm choosing "an experienced human surgeon + Da Vinci" 100% of the time.

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