spec VS lowdefy

Hi, Lapdev dev here. Let me try to answer your question.

It's installed on a remote server so it provides remote environments. If you use VSCode remote, then you can "open" it through VSCode remote ssh.

The environment that Lapdev provides essentially is a container (other format is on the roadmap) with things pre-installed as defined in Devcontainer(https://containers.dev/) format.

Happy to take this one, as I am one of the cofounder of Daytona.

Daytona solves all the automation and provisioning of the dev environment, actually wrote an article here laying out exactly what we do: https://www.daytona.io/dotfiles/diy-guide-to-transform-any-m...

Daytona currently supports only the dev container (https://containers.dev/) "dev env infrastructure as code" standard, but are looking to support others such as devfile, nix and flox.

Hope this helps

The full usage of the container means that you'll do the development inside the container. All the tools for development need to be installed inside the container. One of the technologies that leverage this approach is Devcontainers.

Two standards for CDE configuration exist: devfile.yml and devcontainer.json. Both assume that the CDE is a single container and allow specification of which tools should be deployed to this container, as well as a reference to scripts that should run after the container has been created.

... is how I introduced the concept of dev containers in my last article.

How it works? Dev Containers is a specification based on Docker. This specification describes a metadata file (devcontainer.json), which defines how the project (Docker container, IDE settings, plugins, etc) is set up.

Codespaces is built to run Dev Containers, an open standard for Development Containers. The Dev Container will reference a Docker build file, which describes the software and services our app is running on. It also defines things related to our development environment, including IDE plugins, network ports, and more.

I was using Devcontainer with VS Code. In a part of the container build process, DNS lookup seemed to be failing in Debian 12. BTW, the container image was based on Debian 11. I probably tried it about 10 times in total, so I'm pretty sure it persisted, not an one time error. I noticed the build process was failing because the process failed to find some domains, with an error message like could not resolve host github.com. Some domains I noticed was github.com and ghcr.io, so it failed sometimes for one domain, and sometimes for the other.

// For format details, see https://aka.ms/devcontainer.json. For config options, see the // README at: https://github.com/devcontainers/templates/tree/main/src/typescript-node { "name": "Node.js & TypeScript", // Or use a Dockerfile or Docker Compose file. More info: https://containers.dev/guide/dockerfile "image": "mcr.microsoft.com/devcontainers/typescript-node:1-20-bullseye", // Features to add to the dev container. More info: https://containers.dev/features. // "features": {}, // Use 'forwardPorts' to make a list of ports inside the container available locally. "forwardPorts": [8081], "initializeCommand": "bash .devcontainer/initializeCommand.sh", // Use 'postCreateCommand' to run commands after the container is created. "postCreateCommand": "bash .devcontainer/postCreateCommand.sh", // Configure tool-specific properties. // "customizations": {}, // Uncomment to connect as root instead. More info: https://aka.ms/dev-containers-non-root. // "remoteUser": "root", // "containerEnv": { // }, // "remoteEnv": { // "DEV_USER_HOST": "${localEnv:USERNAME}" // }, "runArgs": ["-p=8081:8081", "--env-file", ".devcontainer/.env"] }

I'm really enjoying reading through the docs and the tutorial. We've created Lowdefy, a config web-stack which makes it really simple to build quite advanced web apps. We're writing everything in YAML, but it has it's limitations, specifically when doing config type checking and IDE extensions that go beyond just YAML.

I've been looking for a way to have typed objects in the config to do config suggestions and type checking.. PKL looks like it can do this for us. And with the JSON output we might even be able to get there with minimal effort.

Is there anyone here with some PKL experience that would be willing to answer some technical questions re the use of PKL for more advanced, nested config?

See Lowdefy:

https://lowdefy.com/

https://github.com/lowdefy/lowdefy

Awsome! With Lowdefy we tried to build a low-code framework that works like code. We’ve developed a schema in which to define applications and we’ve built all kinds of apps for enterprise customers. Massive, advanced CRM systems, call centre solutions, ticketing systems, a light MRP, all kinds of survey apps and so many dashboards. Even our docs and our website are Lowdefy apps!

Give Lowdefy a try and reach out it you have any questions or want to see what is possible :) (We need to invest a lot more into content and examples, bootstapping is a grind!)

https://github.com/lowdefy/lowdefy

Also add Lowdefy onto the list https://github.com/lowdefy/lowdefy

co-founder here :)

100% this. And yes, good documentation takes a lot of investment but it pays off like compound interest. But with that done, it becomes even more important not to pull the carpet for no good reason, you are building a tower and documentation is at the foundation.

We’ve built Lowdefy [1] as an open source project and documented it with all effort, 200 pages of docs. I often forget why or how something works and then jump to the docs. This investment keeps on paying of as we use Lowdefy to build customer apps, new devs in the team typically take less than two week to get up to speed and start making contributions, the sharp ones, just a two or three days.

This year, we’re extended our documentation onto customer apps aswell, with flow diagrams, state machine definitions, detailed field level explication schema definitions, and end user test procedures. The key here for this documentation is detail. It should be easier to reach for the docs and the the answer, than to dive in the code and interpret it.

1 - https://github.com/lowdefy/lowdefy

https://github.com/lowdefy/lowdefy Co-Founder here.

Check out https://lowdefy.com/ they even have a sample survey app as one of their examples.

You can build an app that would do this

Lowdefy is a low code tool that uses AG Grid as a block component, allowing you to create apps which render data in AG Grid without a lot of coding knowledge. There is a Lowdefy example using AG Grid here.

Shameless plug, also check out Lowdefy - https://github.com/lowdefy/lowdefy

I’m also going to jump in here and say try Lowdefy https://github.com/lowdefy/lowdefy - co-founder here.

We take a different angle and believe that low code should still work like code. We focus on a developer first approach.