AI Disclosure

This project uses generative AI throughout its development process. This document exists for transparency.

How AI is used

In this project, AI handles a fair chunk of implementation, refactoring, research, and mechanical work — the stuff that used to take a lot longer.

A human still provides ideation, judgment, architecture, true reasoning, domain decisions, and serves as final arbiter of quality.

How quality is maintained

Every change passes through the same process regardless of origin:

• Unit tests, linting with pedantic warnings, formatting checks, and benchmarks
• Human review before anything is merged
• Feature branches, pull requests, and branch protection — non-negotiable
• Direct dependencies manually vetted before inclusion
• Clean, intentional commit history

None of these checks care who authored the code.

Why this disclosure exists

Transparency.

Some people have strong opinions about AI in software development, particularly in open source.

You're entitled to know how this project is built so you can make informed decisions about using it. The code is open source. Read it, test it, benchmark it, break it. Judge it on its merits.

The high impact of generative code generation was made possible by the fact that lots of highly intelligent and hardworking software engineers spent decades building the infrastructure and tools AI now exploits: version control, automated testing, CI/CD, static analysis, type systems.

That harness was already there. AI just stepped into it. But turning that output into something worth shipping still requires human involvement.

AI slop is a human issue, not an AI issue.