nocode VS kind

> "no cruft: no build systems, no null, no exception handling, no ORMs, no OOP, no inheritence hierarchies, no async/await, no compilation, no dev environments, no dependency hell, no packaging, no git, no github, no devops: no yaml, no config files, no docker, no containers, no kubernetes, no ci/cd pipelines, no terraform, no orchestrating, no infrastructure: no sql, no nosql, no connection poolers, no sharding, no indexes, no servers, no serverless, no networking, no load balancers, no 200 cloud services, no kafka, no memcached, no unix, no OSes"

I'll be honest, I did the same and at first thought Darklang was a troll project along the lines of https://github.com/kelseyhightower/nocode.

Either this is one hell of a project that is taking on all problems (and will consequently fail), or this pitch is misguided. The majority of what is listed there have nothing to do with languages.

I hope this clears some of the fears of missing out (FOMO) that you might have about SurrealDB not having traditional SQL joins. You can still do the things you need to do such as with the subqueries. When it comes to the traditional joins though, we think about it more in terms of the joy of missing out (JOMO) because the best way to reduce errors in your code is by writing less code, as seen in our record links example.

Vanilla Design is a super lightweight, ultra high-performance React UI library. Vanilla Design Team places a great emphasis on code size and performance, drawing inspiration from the nocode philosophy, which has significantly boosted the security and maintainability of Vanilla Design. It's like they've added an extra layer of bulletproofing and polish to their creation!

There are some open source competitors to Airtable and Notion that can provide good insight. Check out https://github.com/kelseyhightower/nocode

Well 100 is a number. And here is the relation: https://sources.debian.org/stats/ and here is how to get 0 bugs: https://github.com/kelseyhightower/nocode

This is my background and i years of experience hosting this..

Asta kelseyhightower/nocode: The best way to write secure and reliable applications. Write nothing; deploy nowhere. (github.com) are mii de forkuri si zeci de mii de stelute, activitate masiva la 'issues' - mii, sute de 'pull requests', clar ca rezolva o problema reala, nu?

Well, you can write a bug-free application..

First off, congratulations on entering the Computer Science!

Second, I am not sure what is a bigger joke here, the project itself and the OP's innocuous and cute self-promotion or the fact that this post landed the HN's front page.

0. Terms and definitions.

"You" refers not to the author of the tool but to the dear reader who happens to stumble upon this comment in the stream of random screen scrolling.

1. Comment body.

Couple of things about CS classes and specifically about programming classes. They will teach you everything but the most important engineering principles. And you'll have to adjust your learnings once you leave the campus gate behind and enter the wilderness of real tasks and challenges.

The first biggest lesson I learnt as a CS graduate was that the most beautiful, efficient and valuable software program is the one that does not exist, literally no code[0]

The second biggest lesson I learnt as a CS graduate was YAGNI[0]. You never ever write a single line of code, even touch the keyboard until you are absolutely sure you have exhausted all possible options to solve your problem without getting your hands dirty with programming.

The third biggest lesson I learnt as a CS graduate was RTFM[2]. It is so exciting to go to conferences and see people present fancy slides and watch youtube videos with lollipop coloured pictures explaining some complex topics in a eli5 style. Or read blog posts on a gazillion of websites posted by unknown unknowns but yet coming so convincing as if they were written by John Carmack or ChatGPT 5. But then none of them tell you the whole truth and show you the full picture. It is only official documentation, manuals and boring reference specifications that can help you find what you are looking for. And you will need to learn the skill of grinding hunderds of pages of badly styled refdocs to find that really nitty gritty quirky feature that consumed your whole day in finding out why your code does not work as expected. That's where you will start proceeding to the official docs and source code (if needed) before anything else (even Stackoverflow!).

There have been so many git wrappers around, you can probably try them all (tig, jj, gh-cli, gitui, lazygit, gix, you google it). But then, no matter how much effort their authors invest in those tools, there will always be inconsistency between git and its wrapper and you find yourself resorting to git to do what was supposed to be covered by the bespoke tool. And then you learn to respect git, understand its concepts as they were designed, learn some bash and git aliases[3], ditch all those tools (or the majority of them) and proceed with your personal tailored toolbox where if you find something odd you adjust it for your needs within 10 minutes and chill out.

[0] - https://github.com/kelseyhightower/nocode

[1] - https://en.wikipedia.org/wiki/You_aren%27t_gonna_need_it

[2] - https://en.wikipedia.org/wiki/RTFM

[3] - https://git-scm.com/book/en/v2/Git-Basics-Git-Aliases

To get started, you'll need to install clusteradm and kubectl and start up three Kubernetes clusters. To simplify cluster administration, this article starts up three kind clusters with the following names and purposes:

Kind: is a tool for running local Kubernetes clusters using Docker container "nodes." It was primarily designed for testing Kubernetes itself but can also be used for local development or continuous integration.

Fortunately, just as projects like kind and Minikube enable developers to spin up a local Kubernetes environment in no time, CRC, also known as OpenShift Local and a recursive acronym for "CRC - Runs Containers", offers developers a local OpenShift environment by means of a pre-configured VM similar to how Minikube works under the hood.

I recently purchased a used Lenovo M900 Think Centre (i7 with 32GB RAM) from eBay to expand my mini-homelab, which was just a single Synology DS218+ plugged into my ISP's router (yuck!). Since I've been spending a big chunk of time at work playing around with Kubernetes, I figured that I'd put my skills to the test and run a k3s node on the new server. While I was familiar with k3s before starting this project, I'd never actually run it before, opting for tools like kind (and minikube before that) to run small test clusters for my local development work.

Features compared to https://kind.sigs.k8s.io/

Kind allows you to run a Kubernetes cluster inside Docker. This is incredibly useful for developing Helm charts, Operators, or even just testing out different k8s features in a safe way.

Check out KinD

If you're just messing around, just use kind (https://kind.sigs.k8s.io) or minikube if you want VMs (https://minikube.sigs.k8s.io). Both work on ARM-based platforms.

You can also use k3s; it's hella easy to get started with and it works great.

We'll install APIClarity into a Kubernetes cluster to test our API documentation. We're using a Kind cluster for demonstration purposes. Of course, if you have another Kubernetes cluster up and running elsewhere, all steps also work there.

yes I know there is lens, but it does not allow me to see logs of multiple pods at same time and what is even more important it is not friendly for ephemeral clusters - in my case with help of kind I am recreating whole cluster each time from scratch