AlphaEvolve operates as an evolutionary collaborator by combining LLM proposal generation (using an ensemble of Gemini models) with user-defined client-side evaluator scripts. Given a seed algorithm and an objective metric (such as latency, memory footprint, or accuracy), AlphaEvolve iteratively mutates code, scores candidate solutions on client infrastructure, and selects high-performing variants until it converges on optimal code.