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.
Team
Placement
Participant
