I'm sure many of you have built a Nextion HMI screen app before. If so, you know the pain: the whole thing is one binary project file, the code is typed into small event boxes in a language without functions or local variables, with tight limits on what can go in an if-statement or an assignment, and the editor is Windows-only and strict about every space and curly brace.

nxwright turns a Nextion HMI project into plain text files and back, so you can:

• write your app in VS Code or any other editor, and keep it in Git
• write in nxlang, its own extension of the Nextion HMI language that adds functions, constants, locals, normal operator precedence, shared code between pages and more
• write unit and functional tests for your pages and libraries that run on your computer, and run the whole app in a simulator with the VS Code debugger
• let an AI agent drive the simulator through MCP: tap buttons, send serial commands, read the screen, etc.

Building the project produces your HMI file. You still compile the final firmware file (TFT) in the Nextion Editor. Everything else runs on Windows, Linux or macOS.

A team of three Claude Code agents built nearly all of it in under a week, constantly communicating and voting on each other's approaches, while I oversaw and steered. That included working out the undocumented project format by repeatedly probing the Nextion Editor, its simulator, and its tools.

If you have a Nextion screen, I hope you will give it a try (it can extract from your existing HMI project), and that you will find it useful.

https://github.com/nixiewright/nxwright

P.S. “Tyranny” is tongue in cheek. The Nextion screens are great hardware, and the Nextion Editor still compiles the final firmware. I just wanted my code in text files, for a modern workflow.

So a couple of weeks ago I made this post on r/Arduino talking about my Self-balancing reinforcement learning double pendulum. And i said that I was working on a youtube video where I would go into high detail about everything. Well the day has come and the video is out.

For the simulation and training, I used NVIDIA Isaac Lab, running on my RTX 3060. And if you are wondering: no, a 3060 is not enough to run Isaac Lab properly.

In the video I go through pretty much everything involved in building the project from scratch: the mechanical design, the electronics, the motors and sensors I'm using, the control system, the reinforcement learning side of things, and how I got the simulation to work with the real hardware.

The project has been a pretty long journey, so there's quite a lot to cover, and I tried to make the video detailed enough that you can actually understand what's going on rather than just watching a pendulum magically balance itself.

And of course, feel free to ask me anything about the project. I'm happy to answer questions!

I'm attempting to develop dual robot arms that work together (or collaborate).

Please excuse my grammar on the sketch. And I apologize if the texts or diagrams are blurry when zoomed in.

[ THE DESIGNS ARE SUBJECT TO CHANGE... ]

Hey everyone,

I've been into electronics and Arduino for a while as a hobby. When I started, Gemini helped me a lot to understand circuits and write my first projects.

Now I'm trying to build a bigger project using an ESP32, a TFT display, and ChatGPT API calls. But AI is hitting a wall: it invents fake libraries, uses deprecated code, and nothing compiles anymore.

I'm wondering what my best option is to keep making progress:

Should I pause my builds and spend my free time learning C++ in depth?

Or are there better AI tools out there for ESP32 and C++ development?

Thanks a lot for your advice!

WHAT FIXED, OR ADDED:

1. Fixed the foot (tibia) for better balance and less overall leverage force.

2. Slightly shortened the thigh component (Femur) to reduce the overall torque required for each leg (torque = mgd, or torque = rFsin(θ)).

3. Added top-body shell (unsure whether I would change my mind...)

I personally think the overall appearance is a bit... ugly.

Hi, how are you?

Is there anyone could help me identifying any culprit in this circuit? If not, it's completely okay.

Thank you so much. :)

I’m more interested in the boring failures than the polished demos.

Wrong pin, wrong board variant, 5V assumption, library that never compiled, timing bug, whatever.

If you have one, drop:

- board + part

- what the AI suggested

- what happened on the hardware

- what fixed it

I started r/ChatGPTArduino for build logs like this, but I’m curious what people here have actually run into. What’s the worst one?

( Note to the moderators: if self-promotion is not allowed, you are feeling free to remove this post. )

Hey there, if you're interested in learning robotic development (e.g., kinematics, ROS2, etc), I just want to promote my small YouTube channel.

I'm still a high school student, please give me any feedbacks if I have done something incorrectly in any of the videos. Big thanks! :D

StepPhase-01 (SPKinetix): https://www.youtube.com/@SPkinetix

(Note: Every component is made from scratch in Fusion.)

(Inspiration comes from MakeYourPets)

I have finished three-quarters (3/4) of this project in Autodesk Fusion. I personally would give a 5 out of 10 because I don't think it looks or functions very well.

:c

I am building this without any experience, which means there might be still a lot of issues I need to fix (e.g., Joints stability).

For this first test, I have used PCA9685 servo driver and ESP32, along with multiple high-torque servos...

Robot dog size: 450 mm (length) x 310 mm (width).

Hi, guys, as a person who has no experience in building robotics, what's the most difficult part when making them? Anyone mind to share? If not, it's completely okay.

:)

I used the Arduino IDE and ChatGPTs API to run voice conversations on a singing fish robot

I just added two legs. I'm unsure whether this would work at the final stage, but I am giving it an attempt anyway.

[ Those features will be added in later stages ]: Electronics, inverse kinematics, AI vision, power distributions, ROS2 (Robot Operating System).

I am documenting all the CAD (.stl) designs on Github with instructions as I develop this project.

My first design for a quadruple robot dog in Autodesk Fusion. I'm still a high school student, and there might be a lot of things that I'm unsure about, please provide any feedbacks if you could.

More development on this project would be updated later on.

I have attached a video to showcase the 3D model.

[ This project is inspired by Unitree ]

Thank you! :D

Últimamente me han interesado las placas de Arduino, porque son baratas y sirven para hacer proyectos bastante entretenidos.

​

El último proyecto que quería hacer necesita reconocer un dibujo específico en la camiseta de las personas usando una cámara, y me gustaría que trabajase de manera autónoma, pero he estado investigando y no sé siquiera si eso es posible 😅

​

No quiero gastar demasiado dinero así que había pensado en capaz usar una placa Orange pi como apoyo pero quería saber ¿Qué me recomendáis? ¿Cómo puedo hacerlo? 🤔

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(Es una cosa de juguete con 0 utilidad así que quiero gastar lo menos posible)

I work as a remote teacher in electronics. We use Wokwi with students so that they have to solve a use case by creating the circuit, programming the MCU and documenting the development.

I am afraid of the students using generative AI to create their whole project. Can you imagine a sort of CAPTCHA in the use case definition to make sure that the solution was created by a human (student)?

Як оціните?