I have been building a system, it's hitting 2m lines of code soon (backend + frontend).

Currently, I have landed in a flow where I maintain a roadmap of releases. Each release is a featureset that I can test, verify, and demo. Most releases are planned through a PRD document which contains user stories, other constraints, and implementation phases. Then, I create as many ADRs and TDs as necessary.

Tbh, all these are for me to keep track of what I am building. I am having agents write the bulk of these documents by rumbling to a microphone for a good deal of time and then reviewing ruthlessly. You have much more control over small and steady increments.

When I feel adequetly prepared, I start coding, most of the time I will lay the foundation and then have agents fill in the implementations.

I don't really worry about future proofing my architecture. It's not like I have a massive database that will take multiple days to create an index, most of the changes are cheap.

Nothing of the above is new, they are well established tools mostly used by larger organizations, the only thing that changes with AI is the scale in which you can use them.

The above apply only fo projects I am serious with (2 projects atm), the rest I just ask AI to build what I need and send it the bugs until it works as expected.

Can’t wait for the OpenAI orientation: “Here is a rack. Here is another rack. Here is your bed (rack-adjacent). There is no difference between day and night. Please do not befriend the AI.

Has anyone tried to self host this? Of course, hosting 300tb isn't practical, so any solution would need to download the metadata and songs on demand.

Build open source software for public infrastructure

Arc is fairly good, and I was willing to tolerate the few hiccups when it was constantly being improved. Of course, I switched to zen.

It's a call to action from Louis Rossmann a consumer rights activist. It's supposed to help people understand how many other people are actually interested in consumer rights/right to repair/right to ownership/privacy.

There are a few videos explaining the concepts, you may want to look it up.

The only measurable outcome so far is an increase in contributions to consumerights.wiki, a wiki aiming to be a resource for consumer rights activism.

It's really fun to find clippy in the wild. Fediverse related videos/channels are more likely to have comments from clippy, but you may find him anywhere really.

You have probably confused a lot of programmers 🤣🤣

Also, if the organisation shares their fediverse profile on their official website, you can consider them verified

Depends on what you are trying to accomplish, pydantic is great for encoding/decoding

If you don't need that go with dataclasses

Install VüDü itself. In the package, there will be a large square of herb-scented paper. This is the entire code for VüDü.

IMO this is creating unrealistic expectations for the bundle size of linux distributions 🤣🤣

I feel you will appreciate reading a bit of Kant's work, the critique of pure reason would a good start. In perpetual peace, he makes the argument that in order to achieve peace everyone should freely exercise their right to "public reason", aka their right as an individual to critique others (the state, organisations, or individuals).