kallsyms

Hey yeah got caught up in the excitement of finding it :)

It's a SHA256 - `shasum -a 256 server.py`

Yep, nothing worse than wasting time because of bad information.

We're intending on offering a self-hosted version a bit down the line, exactly for those companies who need complete control (for compliance reasons or otherwise). And as for pricing, we're going to be watching how people engage and potentially be adjusting the price over the next little while.

Hey HN! We're building Docstring, a tool that can automatically generate documentation for Python, Ruby, and Javascript (with more languages soon to come), and then makes sure the docs stay up to date whenever the code changes so you don't have to. We integrate into your IDE (currently VSCode and Vim, IntelliJ products soon) and generate docs inline with your code just as normal. When you save, the code and docs are uploaded to us so you can browse and read online, and see stats like what the most under-documented portions of your codebase are.

Background: My co-founder and I have been programming for 10+ years each, and like many of you I'm sure, have run into old, incomplete, or entirely incorrect documentation more times than we can count. We believe that this happens for a few main reasons:

First, existing tools don't really support you in writing docs. They may autogenerate a few lines of boilerplate, but nothing links the docs to the code itself. This is true both for top of (function|class) docstrings, but is even more true for documentation which is in completely separate files like READMEs, architecture diagrams, a wiki, etc. We believe that by being more intelligent about understanding what is documenting what, we can make the experience better for everyone, both on the writing side, and also on the reading side.

Second, doc writing is time consuming for something that feels like gives little immediate gain, and is also not ingrained in many companies engineering culture. In reality, it helps your teammates _now_ since they can more easily comprehend what you wrote, and in the long term, it of course becomes necessary as people come and go (or even just to remind yourself of what you wrote a few months ago). It's just hard to be driven to do something when the payoff may be a few months down the line, especially when you have a deadline to ship something next week.

We're curious to hear what you all think both about the product and about the issue in general.

Thanks.

I'm having trouble understanding what the goal is of this as well. It seems like the quick summary would be "ML-based forecasting/prediction in a box" but the readme is making all of these broad claims...