Documentation for nanogram available here for awhile
Edit: Dont be a ungrateful. I put a lot of time, effort, and my own money into making this. I’m choosing to freely share it :)
Yes I get help from LLM’s. Review the code if you think it’s unsafe, or just move on and don’t use it. Happy to answer any technical questions.
Edit 2: Expanded source code for termux version here.
Apparently it was all ai generated and the author doesn’t actually know how to program. Just look at their responses in the .ml cross-post, that’s not someone whose software I would trust.
that post is now deleted, but you can see their modlog here
That’s wild that the mod thinks it’s off topic. Thanks for shareing that I didn’t even realize I had been censored by the mods.
And it’s worse because they hide the Python code, which means that they can’t use tools like uv or ruff to check that everything works properly. I don’t understand why people do this.
Charitably: AI turbocharged dunning-kruger
Less charitable: Malware delivery.
There is no good reason why they couldn’t have a normal source tree, that they pack into a single shell script in CI.
Here is the source tree.
Sorry, but a photo of a directory structure is not a source tree.
Your git repo consists of 4 files, a readme, a licence, and two packed shell scripts.
If you have an actual published source repo, link people to it.
So just a expanded file structure directory is what you want? The script executable expands to each individual piece once run.
What do you mean a actual published source repo? I do not understand how its not that. Everything is packaged into one script.
Yes. Separate out each part out. You are currently publishing the equivalent of of a compiled binary. Split it up, and use a script to “compile” it back into the mega shell script.
It means that changes to each file can tracked (and audited) individually, you can conditionally compile bits in or out, and most usefully, you can write tests for the individual components.
Ok I’ll work on it and share when I am done
Also the normal and rpi versions are two completely independent implementations of the same software. So now the LLMs have twice the maintenance load.
I didn’t diff the two files but even the startup and control code appears to be custom for each version.
Better? https://gitlab.com/here_forawhile/nanogram-termux
Dedicated expanded pi version coming later.
They are different environments, and so there are many changes that take place in order for it to work on a PI.
The core app and features are a mirror.
What do you mean?
AI generated I guess… with love, time, money, and care from me. Take it or leave it lol.