The Rusty Bits

First video for the channel has landed! 🎊 Writing production-grade firmware is hard, but maybe we’re making it harder than it needs to be: youtu.be/YXvebHRn8hs

This time we’re learning how to setup embedded Rust on an ESP32: youtu.be/dxgufYRcNDg

In the final episode of our air quality monitor project, we try getting Bluetooth LE working using embedded Rust: youtu.be/L1ScupSwqts

In part 2 of our air quality monitor project, we’re driving the microbit’s full LED matrix using async Rust: youtu.be/uZDcWA8cCsw

New project series starts today! In this one we learn a little about I2C & where it fits into embedded Rust: youtu.be/vT4-bvHCbE0

I'm excited to announce the 1.0.0 beta release of esp-hal! Read more in the announcement blog post: developer.espressif.com/blog/2025/02/r…

@CodeToTheMoons Congrats! 🍾🎉

My family surprised me with balloons today for 75k subscribers. To everyone who has spent any amount of time watching my videos, thank you! 🙏

In this one we learn about using embassy to do embedded development with async Rust: youtu.be/pDd5mXBF4tY

@CodeToTheMoons May the algorithm be ever in your favor, your videos are excellent! Quick question: what software are you using to present code (and code block transitions/animations)?

youtu.be/oiWATcjyUEI?si… I love making this type of content, but I'm not sure how much of it I'll be able to make. People are much less likely to click on things like this, which means the algorithm relegates the video to a state where it isn't really recommending it to many people. And the effect is not linear - it is exponential. To paint a picture of the magnitude of this phenomenon - consider two videos. Video A gets clicked on by 8% of the people to whom it is recommended. Video B gets clicked on by 4% of the people to whom it is recommended. Common wisdom says that Video B would be viewed about half as many times as video A, but that's not what happens. The YouTube algorithm picks up on this and will recommend video B to viewers far less frequently than video A, due to its much lower "clickthrough rate". In my experience, with the above numbers (Disregarding average view duration, likes, comments etc, which matter but not as much as clickthrough rate), *video B will get recommended about 1/10th as much as video A*. Which means video B will get roughly 5% as many views as video A. Yeah, wow. This seems to be true even if other metrics of video B like average view duration, likes, etc, are superior to those of video A. Many consider view count to be a superficial metric, but for those of us making a living from YouTube, the situation with video B can be a devastating show stopper. So tl,dr - it is really hard to make content that will get clicked on less frequently than "normal", even if it is only slightly less. Even if you know it will be very helpful and appreciated by a specific group of folks. To be fair, if I were YouTube I would still design the algorithm exactly how it is - placing a high value on clickthrough rate. If there is a video that viewers are not clicking on, why would we waste valuable screen space in viewer recommendations for that video? YouTube is funded by advertisers. The longer viewers spend on the platform, the more sustainable the business is. Recommending videos that viewers are less likely to click on will invariably lead to viewers spending less time on the platform, leading to lost revenue. I highlight this phenomenon because I think it is something the average viewer is probably not aware of. I do it to provide context, not because I am complaining or because I want to lobby for some change to the algorithm. I actually think the algorithm is fantastic. It's just a harsh reality that makes certain types of content less feasible to create.

This video looks into the defmt crate and finds one weird trick to shrink the size of your logging library for embedded projects:

Rust is secretly taking over chip development - youtu.be/AwFU-CrIB8I

@LowLevelTweets Thumbnail & title W: I must know what you were right about/why it’s so over

the duality of YouTube work on increasing production quality with an editor, create a video about a more widely appealing topic: total bomb take 20 minutes to rant about kernel level anti cheat: my best release ever if you watched this video, why did you. I need to understand

@AstraKernel Ferris does not appreciate my unsafe shenanigans 😂

This part made me smile 😊 "Hey, Ferris"

@thorstenball sighting at #RustConf

Jonathan Pallant (@therealjpster) is a huge programming fan, just like the Rust of us… get it…? In today’s blog, he tells us a little bit about the Rust programming language and what he's managed to get working on our new chip, RP2350, so far. You can also read on to discover which areas still need some attention, and how people can get involved. raspberrypi.com/news/rust-on-r…

github.com/rust-lang/rust… 👀

Rust's next major update is coming... - youtu.be/7ZU8kQNjAcc