KERKIS: a Modeling Language for Multi-Agent System Interactions in AI-Native Software Engineering
Multi-agent configurations modeled in KERKIS significantly outperform the single-agent baseline on non-trivial scenarios and orchestration-based coordination consumes 47-112% more tokens than alternatives based on standard operating procedures for a comparable quality of results.