HPI VS todomvc

If this is interesting to you, you should check out the interesting work that karlicoss and others have done with "Human Programming Interface" [0] / [1].

I've been kicking this idea around for quite a few years and have gone through multiple iterations before finding HPI and tossing out all my work in favor of building off theirs.

HPI is a great platform to build your own stuff off and benefit from all the work that has already been done because imo building a good foundation is the hardest part. Sean Breckenridge's HPI-API is super interesting and useful, could likely be worked into this search engine concept, quite sure Sean actually has both newsboat and Firefox modules already made.

I wrote modules of my own and made an authentication wrapped HPI-API and a GraphQL instance but currently in the middle of an infra move so nothing super cool to show off.

Lots of interesting stuff in collecting and leveraging your data. If any of this stuff catches your eye, I highly encourage browsing karlicoss' exobrain [2] because there are some interesting things in there.

[0]: https://github.com/karlicoss/HPI

[1]: my own stuff, not trying to step on Karli, just wanted a 3 letter org for my stuff: https://github.com/hpi

[2]: https://beepb00p.xyz/myinfra.html

My version of this: Human Programming Interface https://github.com/karlicoss/HPI

It's a bit heavier on the automatic data aggregation side, but has some manual inputs as data sources too.

This is my approach!

I'm using HPI [0] as a sort of universal API for almost all of my data (manual notes, bookmarks, instant messages, internet comments, etc)

Then I use it in tools like Orger [1] and Promnesia [2] which function as my second brain

[0] https://github.com/karlicoss/HPI

[1] https://github.com/karlicoss/orger

[2] https://beepb00p.xyz/promnesia.html

I suppose HPI[0] kind of is that? ;)

A community repository would be super nice for those. Something along the lines of DefinitelyTyped[1], all managed through git, easily integrates with other stuff (like shown on npmjs.org when the @types package exists), allows maintainers to "own" the adapters they contribute. It's really the N adapters * T time per adapter that really makes it hard for one person to do. That plus monitoring API changes/flakiness of each adapter to make sure the data is still solid.

[0] https://github.com/karlicoss/HPI

[1] https://github.com/DefinitelyTyped/DefinitelyTyped

I'm working on tools/projects to unify, access, interact and use my personal data for quantified self, knowledge management, etc.

A couple of examples:

- https://github.com/karlicoss/HPI#readme

- https://github.com/karlicoss/promnesia#readme

Would very much love to discuss it with other people, collaborate etc.

Emacs is born as a human-computer interface, not specifically a PIM/PKM systems (Personal Information Management systems, Personal Knowledge Management systems), those are born at Xerox Parc and they never really took off, unfortunately. You can find a small intro like https://doi.org/10.1145/1480506.1480524 you can find many research articles and thesis on the ACM and other places, try https://karl-voit.at/tagstore/downloads/Voit2011.pdf by /u/publicvoit today in Emacs the most popular of such systems in org-roam, a wrapper/accessing tool for org-mode, witch is probably one of the most powerful, Memacs is another classic one that do something more and something less, Dimitri Gerasimov have it's own public HPI https://beepb00p.xyz/hpi.html with Grasp and Promnesia extensions for Emacs and probably many others do exists but they are used/developed by a small community and while in the "old" wiki book before, "personal note/evernote boom", now "zettelkasten boom" interest keep being there documentation especially at newcomer level is nearly zero... There are research papers, few whole books, tons of articles, but nothing like a complete and simple learning path...

Their author have developed a more complex script collection (HPI, https://beepb00p.xyz/hpi.html) witch is a bit confuse, but seems alive and for certain aspects do extra things then memacs (https://github.com/novoid/Memacs).

Side note: His Promnesia and HPI projects are just mind blowing!

Some of my favourites:

- "5. Life engine" and "92. Personal Data API"

   I'm working on this in "Human Programming Interface" :) https://github.com/karlicoss/HPI#readme It's far from solving these in general, but it works for me very well.

The odd thing is unison started purely as a language. Now there's a platform.

I often find the best way to understand complex things is to dig all the way back to when they were being thought up. In this case there's a blog post from 2017 that I still find useful when thinking about Unison:

https://pchiusano.github.io/2017-01-20/why-not-haskell.html

Key quote:

Composability is destroyed at program boundaries, therefore extend these boundaries outward, until all the computational resources of civilization are joined in a single planetary-scale computer

(With the open sourcing of the language I doubt it will be one computer anymore, but it's an interesting window into the original idea)

Personally I find there's a lot to this. It's interesting that we're really, really good at composing code within a program. I can map, filter, loop and do whatever I want to nested data structures with complete type safety to my heart's content. My editor's autocompleting, docs are showing up on hover, it's easy to test, all's well.

But as soon as I want cron involved, and maybe a little state-- this is all wrecked. Also deployment gets more annoying as they talk about a lot.

So I think Unison always had to have a platform to support bringing this stuff into the language, even though they built the language first.

I'd love to hear some opinions from outside Unison about how they like using this language, tooling and hosting.

I'd like to hear this too.

Also, it would be great if there was something like https://eugenkiss.github.io/7guis/ or https://todomvc.com/ for platforms that we could use to compare Unison, AWS, etc etc. Or is there already a 7GUIs for platforms that I don't know about?

git clone --depth=1 https://github.com/tastejs/todomvc.git

The problem with this question is that, if it's not engineering, what is it? A better question is motivated by studying the history of chemistry and its progenitor, alchemy. That is: is software development alchemy or chemistry?

Software development alchemy. Just like alchemy, software dev is not standardized, everyone has their own idiosyncratic naming systems, classifications and rules-of-thumb. Like alchemists, software engineers are often jealous of their proprietary knowledge. Just like alchemists, they admired, feared and loathed for having secret knowledge. And just like alchemists, you have to be exceedingly brilliant to work in such a chaotic field and get anything done.

What changed alchemy into chemistry, and what is the analog to that in software? Arguably the change started with notion of conservation of mass and energy, and the development of the periodic table (thanks to Lavoisier and Mendeleev, respectively). As for what that analog is for software, first we need a characterization of the field. With alchemy and chemistry both, it's essentially mixing stuff together, heating and cooling it, and seeing what happens. But what is it for software?

Software engineering is often mistaken for computer science. Computer science is a tiny subset of software engineering. In practice, almost all of computer science is encapsulated in a few, tiny standard libraries - the places where bubble-sorts and hash maps live. (This mistake is consistent, and leads to "leet code" style interview questions which are irrelevant to actual work). I'd characterize software engineering as the set of solutions to a boundary value problem[0] described as "a set of interacting screens with behaviors pleasing to humans". The current solutions to this problem have been idiosyncratically shaped by resource constraints that rapidly relaxed over time[1], and characterized by elements discovered at random by necessity: e.g. kernels, processes, files, procedures, terminals, etc. In this analysis "language" functions as a kind of "coordinate system" as in physics[2][3], within which each of these elements are described, and within which elements are combined to make new elements, which eventually yield a solution to the boundary problem (which is termed "application").

I don't particularly know what the standardization of software engineering will look like, but I'm certain that this analysis, or something similar to it, is the first steps in the right direction. Personally, I look forward to the day we can shed the considerable weight of our alchemical origins.

0 - https://en.wikipedia.org/wiki/Boundary_value_problem

1 - https://en.wikipedia.org/wiki/Moore's_law

2 - https://en.wikipedia.org/wiki/Coordinate_system

3 - https://www.rosettacode.org/wiki/Rosetta_Code - the same problem is solved in many languages. For applications: https://todomvc.com/

Compare the source code at https://todomvc.com/ to see what various frameworks bring to the table. VanillaJS is generally 2-3x as much code since you have to implement the MVC logic yourself.

There is an example (not mine) of AnjularJS controllers, how much JS I have to write:https://github.com/tastejs/todomvc/tree/gh-pages/architecture-examples/angularjs/js

Learn by doing. You could recreate the TodoMVC app.

How easy or hard to build Shopify without zero coding experience? Shopify is a big thing =) So that would be hard to build with zero coding experience. Start with a todo list, micro blog, or something small in scope that interests you. https://todomvc.com/ is interesting since it is the identical app, written in many different ways, different languages and frameworks - and you can use them as reference to see how others have built something.