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April 27, 2024

For the last few years, I've been working at a non-profit called Hack Club developing tools to support self-motivated teens to learn about technology and build community with other like-minded peers while doing so.

This has resulted in the development of a model called "you ship, we ship." We build open source creative coding environments, and when teenagers share the projects they make with these tools, we send them materials to dive deeper into the subject and related technologies. Our approach is predicated on the constructionist idea that people learn best by building things they care about and sharing them with others. The vision we have is to create a public collection of creative learning tools that offer people projects they can do right away and communities of practice to engage with.

Blot is our next installment in the series. It's designed to be a gateway to CNC robotics through digital art. If you'd like to see some of the projects people have made so far, you can check out:

https://blot.hackclub.com/gallery

You can also find projects from our first "you ship, we ship" called Sprig. It's a game console you get by building a game for it.

https://sprig.hackclub.com/gallery

I'd love people's thoughts on the model and ideas for other subjects in technology we could build projects around.

Comments URL: https://news.ycombinator.com/item?id=40180475

Points: 3

# Comments: 1



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April 25, 2024

I am proud to present my solo hobby project NAND. This year-long undertaking follows the completed Nand to Tetris course, but ported to the web with its own runtime, user interface, and IDE. Using the "Load example program" selector, you can try out some programs I wrote on NAND's emulated hardware such as 2048, a genetic algorithm, and a manual stack overflow to corrupt the screen.

Check out NAND at https://nand.arhan.sh

Additionally, I've authored an extensive writeup about the project. Read about it on the GitHub repository's readme.

Comments URL: https://news.ycombinator.com/item?id=40159278

Points: 47

# Comments: 6



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April 09, 2024

EDOM.AI is the very first artificial Business-brain that allows you to Create , grow your business, start your business, and more. It gives you the secret strategies used by major companies like Nike, Apple, or Starbucks to inspire you from their success and lead your business to success. Walk on their success, learn from their mistakes, and make your dream come true.

Comments URL: https://news.ycombinator.com/item?id=39982358

Points: 4

# Comments: 0



from Hacker News: Front Page https://www.edom.ai/
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April 03, 2024

Hey HN, I'm building Plandex (https://plandex.ai), an open source, terminal-based AI coding engine for complex tasks.

I built Plandex because I was tired of copying and pasting code back and forth between ChatGPT and my projects. It can complete tasks that span multiple files and require many steps. It uses the OpenAI API with your API key (support for other models, including Claude, Gemini, and open source models is on the roadmap). You can watch a 2 minute demo here: https://player.vimeo.com/video/926634577

Here's a prompt I used to build the AWS infrastructure for Plandex Cloud (Plandex can be self-hosted or cloud-hosted): https://github.com/plandex-ai/plandex/blob/main/test/test_pr...

Something I think sets Plandex apart is a focus on working around bad outputs and iterating on tasks systematically. It's relatively easy to make a great looking demo for any tool, but the day-to-day of working with it has a lot more to do with how it handles edge cases and failures. Plandex tries to tighten the feedback loop between developer and LLM:

- Every aspect of a Plandex plan is version-controlled, from the context to the conversation itself to model settings. As soon as things start to go off the rails, you can use the `plandex rewind` command to back up and add more context or iterate on the prompt. Git-style branches allow you to test and compare multiple approaches.

- As a plan proceeds, tentative updates are accumulated in a protected sandbox (also version-controlled), preventing any wayward edits to your project files.

- The `plandex changes` command opens a diff review TUI that lets you review pending changes side-by-side like the GitHub PR review UI. Just hit the 'r' key to reject any change that doesn’t look right. Once you’re satisfied, either press ctrl+a from the changes TUI or run `plandex apply` to apply the changes.

- If you work on files you’ve loaded into context outside of Plandex, your changes are pulled in automatically so that the model always uses the latest state of your project.

Plandex makes it easy to load files and directories in the terminal. You can load multiple paths:

  plandex load components/some-component.ts lib/api.ts ../sibling-dir/another-file.ts
You can load entire directories recursively: 
  plandex load src/lib -r
You can use glob patterns: 
  plandex load src/**/*.{ts,tsx}
You can load directory layouts (file names only): 
  plandex load src --tree
Text content of urls: 
  plandex load https://react.dev/reference/react/hooks
Or pipe data in: 
  cargo test | plandex load
For sending prompts, you can pass in a file: 
  plandex tell -f "prompts/stripe/add-webhooks.txt"
Or you can pop up vim and write your prompt there: 
  plandex tell
For shorter prompts you can pass them inline: 
  plandex tell "set the header's background to #222 and text to white"
You can run tasks in the background: 
  plandex tell "write tests for all functions in lib/math/math.go. put them in lib/math_tests." --bg
You can list all running or recently finished tasks: 
  plandex ps
And connect to any running task to start streaming it: 
  plandex connect
For more details, here’s a quick overview of commands and functionality: https://github.com/plandex-ai/plandex/blob/main/guides/USAGE...

Plandex is written in Go and is statically compiled, so it runs from a single small binary with no dependencies on any package managers or language runtimes. There’s a 1-line quick install:

  curl -sL https://plandex.ai/install.sh | bash
It's early days, but Plandex is working well and is legitimately the tool I reach for first when I want to do something that is too large or complex for ChatGPT or GH Copilot. I would love to get your feedback. Feel free to hop into the Discord (https://discord.gg/plandex-ai) and let me know how it goes. PRs are also welcome!

Comments URL: https://news.ycombinator.com/item?id=39918500

Points: 21

# Comments: 8



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April 01, 2024

A server that replies to your pings faster than ever! Now with IPv6 support. Give it a minute and the response time will go down tremendously:

    ping ftlping.net
On Windows, add an option not to stop after 4 pings: 
    ping -t ftlping.net
Works best on MacOS and FreeBSD. Not impressive on Windows but you can see something interesting if you run a packet analyser.

Report issues here: https://ift.tt/uZP2NRc The code may be published when my future self passes it to me.

Comments URL: https://news.ycombinator.com/item?id=39892821

Points: 13

# Comments: 3



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