[theaniketgiri]

Mostly the repetitive stuff like README generation and pushing code with meaningful commit messages was handled by AI. The actual work and logic were done by me.

[joshribakoff]

What about the commit that added tens of thousands of lines of markdown claiming to be an AI summary?

Or the meaningful commit message of “.”

And the commit editing 1,000s of lines of python code mislabeled as a docs change?

[theaniketgiri]

Totally fair question!

Docs / Markdown: AI handled repetitive stuff like READMEs and summaries.

Core logic / Python: fully written by me.

Commit messages: some minimal ones just for quick iterations — the real work is in the code.

AI helped with boilerplate so I could ship faster; all functionality is hand-crafted.

[joshribakoff]

If the AI did the boilerplate that implies it was not fully written by you.

The “meaningful commit messages” — again are a single period as the message for a single commit for the entire python portion of the codebase.

My question was rhetorical. Whether the AI did it or a human did, it burns credibility to refer to things that don’t exist (like “meaningful commit messages”)

[teruakohatu]

Hacker News is a better place when we don’t attack people sharing their work. Your point was made.

Well done to the author for shipping code. I look forward to trying it out.

[theaniketgiri]

Thanks for the support!

And yeah, the commit history is messy - I was learning and shipping fast. Not perfect, but the tool works and people are using it.

Let me know if you have any questions when you try it!

[Grimblewald]

> for sharing their work

If it was their work your point would hold.

[theaniketgiri]

To clarify the AI question once and for all:

What AI did: - Generated README templates (boilerplate markdown) - Suggested commit messages (I didn't always edit them) - Helped with documentation structure

What I wrote: - All Python training logic (train.py, trainer.py, callbacks) - All model architectures (gpt.py, tiny.py, small.py, etc.) - Tokenizer integration - Data pipeline - CLI scaffolding (