Keploy is tackling a major challenge faced by engineering teams adopting coding agents: the high infrastructure costs needed for safe testing and validation. At a recent Google I/O event, Sundar Pichai highlighted how shifting workloads to advanced models can save organizations billions annually, yet the real bottleneck lies in infrastructure—where and how agents run tests with realistic data and dependencies. Keploy's solution records real application behavior once and replays it in secure sandboxes, eliminating the need for numerous costly staging environments. This innovation reduces the so-called "Agent Infra Tax" and enables faster, more cost-effective adoption of intelligent coding agents. Through initiatives like Project10B, Keploy aims to cut $10 billion in unnecessary infrastructure expenses, helping teams deploy agentic software development at scale efficiently.