Quillx is an open standard for disclosing AI involvement in software projects

qainsights 14 points 15 comments March 16, 2026
github.com · View on Hacker News

Discussion Highlights (8 comments)

qainsights

AIx is an open standard for disclosing AI involvement in software projects - expressed through the language of authorship. Not a judgment. Just transparency.

pbronez

Neat idea. I like the five point scale

hedora

(1) Why? (2) The code I write with AI doesn’t fit on the scale.

peteforde

Given the reality that there are a lot of people who [fairly or unfairly] judge anything that uses "AI" in a decisively negative way, what possible advantage is there in giving people a reason to dismiss your project without evaluating it on its own merits?

varun_ch

A little ironic that the README, SPEC.md and the poster's comment here all smell of LLM writing!

easygenes

This is very similar to a project I created https://github.com/Entrpi/autonomy-golf and have been using as a gamified development process on active projects. The key insight was to not just handwave or guess at how much is automated, but make evaluation and review part of the continuous development loop. I first implemented in https://github.com/Entrpi/autoresearch-everywhere where I used it to deliberately automate more, in the spirit of Karpathy's upstream (and to very good effect. I have some of the best autoresearch results anywhere, and the platform is far more robust than it started).

crimsonnoodle58

I would think the term 'vibe coded', 'vibed', '100% vibes', etc would be far more appropriate and well known, than 'lorem ipsum' when it comes to generating code without reviewing the output. If I saw that badge on someones github I would think it had something to do with lorem ipsum text generation, rather than anything to do with AI.

wewewedxfgdf

We should assume projects have AI/LLM development assistance unless stated otherwise. You may have noticed the absolutely vast array of AI development tools and assistants and IDEs and integrations - this is a reasonable indicator that developers are actually doing AI/LLM development.

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