Optimization problems, though challenging, are becoming more manageable with AI. Traditional coding struggles with vast search spaces for optimal algorithms. AlphaEvolve, a code optimization and discovery agent powered by Gemini, addresses this by systematically exploring solutions. It is now generally available on the Gemini Enterprise Agent Platform.The deployment process involves four steps: Define the problem with a baseline algorithm and context; Measure by establishing a scoring function for correctness, performance, and constraints; Optimize using AlphaEvolve's agentic harness to generate code; and Apply the optimized algorithm to production.Organizations are already seeing significant impact. BASF used AlphaEvolve to create a digital twin for their supply chain, improving planning and forecasting by over 80%. Coolblue optimized e-commerce demand forecasting, achieving a 5% reduction in WMAPE. FM Logistic improved warehouse routing by 10.4%, saving 15,000 km in staff travel.Infineon is using it for chip design, while JetBrains accelerated IDE performance by 15-20%. Kinaxis improved forecasting accuracy by over 22% and reduced runtime by 90%. Klarna doubled ML training pipeline throughput and improved model quality.Kuro Games saw substantial performance gains in server-side workloads. Oak Ridge National Laboratory deployed AlphaEvolve on the Frontier supercomputer to optimize GPU kernels. Old Dominion University used it to model biological aging mortality rates, rediscovering a known model and improving others.PacBio improved DNA sequencing accuracy by 30%. Pebble reduced GPU performance modeling errors by 56%. Qbraid used AlphaEvolve to refine quantum computing encodings.