Category: Programming

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Computers Machine Learning Programming

Refreshing Airplane Tracking Software With and Without AI

A DVB-T stick plugged into a laptop, resting on a desk.

A bit like last time this post is about a bit of programmer hubris, a bit of AI, a bit of failure… Though I also took away more lessons this time about software engineering, with or without fancy tools. This is about rabbit-holing myself into an old software project that I had very little knowhow to go on…

The story starts with me rediscovering a DVB-T receiver USB stick, that I had for probably close to decade. It’s been “barnacled” by time spent in the Taiwanese climate, so I wasn’t sure if it still works, but it’s such a versatile tool, that it was worth trying to revive it.

When these receivers function, they can receive digital TV (that’s the DVB-T), but also FM radio, DAB, and also they can act as software defined radio (SDR). This last thing makes them able to receive all kinds of transitions that are immediately quite high on the fun level, in particular airplane (ADS-B transmission) and ship (AIS) tracking. Naturally, there are websites to do both if you just want to see it (for example Flightradar24 and MarineTraffic, respectively, are popular aggregators for that data but there are tons), but doing your own data collection opens doors to all kinds of other use cases.

So on I go, trying to find, what software tools people use these days to use these receivers. Mine is a pretty simple one (find out everything about it by following the “RTL-SDR” keywords wherever you like to do that :) and so I remembered there were many tools. However also time passed, I forgot most that I knew, and also there were new projects coming and going.

ADSBox

While I was searching, I found the adsbox project, that was interesting both kinda working straight out of box for me, while it was also last updated some 9 years ago, so it’s an old code base that tickles my “let’s maintain all the things!” drive…

The GitHub repo information of ADSBox, last commits overall have been 9 years ago, and there are very few of them.

The tool is written mostly in C, while it also hosts its own server for a web interface, for listing flights, and (back in the day) supporting things like Google Maps and Google Earth.

The ADSBox interface showing a bunch of airplane information.
The adsbox plane listing interface.

Both the Google Maps and Earth parts seem completely: Maps has changed a lot since, as I also had to update my Taiwan WWII Map Overlays project over time too (the requirement of using API keys to even load the map, changes to the JavaScript API…). Earth I haven’t tried, but I’m thinking that went the way of the dodo on the the desktop?

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Computers Machine Learning Programming

Adventures into Code Age with an LLM

Chart of code age distribution over time, as a cumulative graph

It’s a relaxed Saturday afternoon, and I just remembered some nerdy plots I’ve seen online for various projects, depicting “code age” over time: how does your repository change over the months and years, how much code still survives from the beginning till now, etc… Something like this made by the author of curl:

Curl’s code age distribution

It looks interesting and informative. And even though I don’t have codebases that have been around this long, there are plenty of codebases around me that are fast moving, so something like a month (or in some cases week) level cohorts could be interesting.

One way to take this challenge on is to actually sit down and write the code. Another is to take a Large Language Model, say Claude and try to get that to make it. Of course the challenge is different in nature. For this case, let’s put myself in the shoes of someone who says

I am more interested in the results than the process, and want to get to the results quicker.

See how far we can get with this attitude, and where does it break down (probably no spoiler: it breaks down very quickly.).

Note on the selection of the model: I’ve chosen Claude just because generally I have good experience with it these days, and it can share generated artefacts (like the relevant Python code) which is nice. And it’s a short afternoon. :) Otherwise anything else could work as well, though surely with varying results.

Version 1

Let’s kick it off with a quick prompt.

Prompt: How would you generate a chart from a git repository to show the age of the code? That is when the code was written and how much of it survives over time?

Claude quickly picked it up and made me a Python script, which is nice (that being my day-to-day programming language). I guess that’s generally a good assumption these days if one does data analytics anyways (asking for another language is left for another experiment).

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Maker Programming

Making a USB Mute Button for Online Meetings

Screenshot of the custom device mute in action, with a video call showing "microphone off" event.
And, like that, he's gone.

I use Google Meet every day for (potentially hours of) online meetings at work, so it’s very easy to notice when things change and for example new features are available. Recently I’ve found a new “Call Control” section in the settings that promised a lot of fun, connecting USB devices to control my calls.

Screenshot of the Google Meet Settings menu during calls, showing the call control menu and a call-out to connect my USB device.
Google Meet Settings menu during a call, witht the Call control section

As someone who enjoys (or drawn to, or sort-of obscessed with) hacking on hardware, this was a nice call of action: let’s cobble together a custom USB button that can do some kind of call control1: say muting myself in the call, showing mute status, hanging up, etc.

This kicked off such a deep rabbit hole that I barely made it back up to the top, but one that seeded a crazy amount of future opportunities.

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Programming

Doing the Easy Problems on Leetcode

Very early in the Leetcode progress.

Over the last decade I seem to have been working in environments, where many engineers and engineering minded people spend time with programming puzzles and coding challenges. Let it be Advent of Code, Project Euler, Exercism, TopCoder, or Leetcode. I’ve tried all of these before (and probably a few more that I no longer remember), though with various amount of time spent all fired up, and then fizzled out. Recently I’ve picked up Leetcode, since from the above list that’s why I’ve spent the least amount of time with and others mentioned using it a way to relax and learn on weekends (suspend judgement on the wisdom of that for now).

Thus in the last two weeks I was solving problems, though not just any problems, but went in mostly for the Easy ones. These few dozen problems and short amount of time doesn’t give me a deep impression, but from past experiences I can still distill some lessons that help shaping future experiments.

The purpose of using the Easy problems is different from e.g. going all in for puzzle-solving fun, which is likely in the Hard ones. Rather than that, I think easy problems can be used for learning some new techniques, looking for common patterns, and becoming more polygot.

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Programming

Programming challenge: Protohackers 3

Budget Chat Work-in-Progress code

Protohackers is a server programming challenge, where various network protocols are set as a problem. It has started not so long ago, and the No 3. challenge was just released yesterday, aiming at creating a simple (“Budget”) multi-user chat server. I thought I sacrifice a decent part of my weekend give it a honest try. This is the short story of trying, failing, then getting more knowledge out than I’ve expected.

Definitely wanted to tackle it using Python as that’s my current utility language that I want to know most about. Since the aim of Protohackers, I think, is to go from scratch, I set to use only the standard library. With some poking around documentation I ended up choosing SocketServer as the basis of the work. It seemed suitable, but there was a severe dearth of non-dummy code and deeper explanation. In a couple of hours I did make some progress, though, that already felt exciting:

  • Figured out (to some extent) the purpose of the server / handler parts in practice
  • Made things multi-user with data shared across connections
  • Grokked a bit the lifecycle of the requests, but definitely not fully, especially not how disconnections happen.

Still it was working to some extent, I could make a server that functioned for a certain definition of “functioned”, as the logs attest:

Console log of server messages while trying my Budget Chat Server implementation.
Server logs from trying my Budget Chat Server
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