BABUNI.DEV

The Great Iceflow Relay / Human–AI collaboration

The Great Iceflow Relay: Human–AI collaboration

The Great Iceflow Relay — collaboration and attribution

Human direction: direct testimony

Babuni.dev describes enjoying the game's ball throwing but wanting something more involved than passing it back and forth. The creator turned this into a lake-based relay with checkpoints, score rules, penalties and light-hearted multiplayer social play. The 2025 README is first-person source material; preserve it as the primary testimony of the creative decision.

AI contribution: what is and is not evidenced

The author says they used AI help to code the addon. The repository does not contain a reliable prompt-by-prompt log that assigns each Lua function or rule to a specific human or assistant utterance. Don't fabricate those attributions. Code in a repository proves what was committed, not whether a particular implementation mechanism was originally suggested by the assistant or requested in detail by the human.

In this 2026-10-26 documentation session, an assistant inspected current code, TOC, README, representative Git history and drafts of prior scaffold files. It created long-form documentation, documented known risks and open design questions, and committed Markdown only. This contribution should be credited as editorial/technical analysis, not conception.

Provenance standard for future iterations

Each substantial project record should show the creator's explicit request and constraints; AI proposals; alternatives, disagreements and corrections; the creator's accepted or rejected decisions; actual changed paths and commit; and execution/test evidence. When missing, label the reconstruction as uncertain and link the nearest primary evidence.

Never publish raw private chat logs, secrets, other players' private information or credentials. Do not modify the authorial first-person origin story without Babuni.dev's approval.

Reference trail

Document information

Creative author: Babuni.dev.
Acknowledged assistant role: AI-assisted implementation, stated by the author in the original 2025 README.

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