# Anubis

- **Event:** [Gemini Vibe Code Hackathon – London](https://cerebralvalley.ai/e/vibe-code-gemini-london)
- **When:** Sat, Nov 15 at 9:00 AM – 10:00 PM (UTC)
- **Where:** Shoreditch Exchange with Oneder, London, UK
- **Team:** [Joe Tan](https://cerebralvalley.ai/u/w3joe), [Yan Slobodianik](https://cerebralvalley.ai/u/yanslo)
- **GitHub:** https://github.com/w3joe/anubis
- **Demo video:** https://youtu.be/Q0e4QzgyhpA
- **Gallery:** https://cerebralvalley.ai/e/vibe-code-gemini-london/hackathon/gallery
- **Page:** https://cerebralvalley.ai/e/vibe-code-gemini-london/hackathon/gallery/8

Developers often try multiple models manually, compare code quality by eye, then hope the one they picked works. This is slow and inconsistent.
Anubis takes a single prompt and automatically runs it through multiple AI models. Each model generates a code candidate.
Anubis then automatically evaluates each candidate using a scoring pipeline based on user-selected priorities. Each metric is weighted according to the priority level chosen by the user. Anubis produces a final weighted score for each code generated, ranks them, and surfaces the best one.

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