A webmail, half the size of empty Google Search (www.defiantsystem.com)

Google has publicly stated that around 30% of their code is now generated by AI, and a quick browser network inspection makes an interesting contrast: an “empty” Google Search page pulls substantially more resources than a fully functional webmail client hosted at karaqu.com/guest/inbox. The Karaqu guest inbox downloads just 427 kB total (332 kB for the platform, 95 kB for the Inbox app), roughly half the size of the resources fetched by an empty Google Search in this test — a striking demonstration that a small, performant single-page app can deliver full email functionality with very modest transfer sizes. For the AI/ML community this highlights two tensions. First, automated code generation and modern frontend stacks can accelerate development but also encourage heavier client bundles and dependency bloat, increasing latency, bandwidth cost, and energy use. Second, Karaqu’s example shows that careful engineering — small JS bundles, minimal runtime, and efficient asset packaging — can yield compact, fast apps suitable for low-bandwidth and edge deployments, which is especially relevant for deploying on-device or low-cost inference systems. The takeaway: as AI accelerates code production, teams should pair it with disciplined bundling, tree-shaking, and architectural choices to avoid unnecessary bloat that undermines performance and deployability.