Why it matters
Every AI coding tool we tried had the same assumption: send as much context as possible. In our production codebase, that meant sending 45,000 tokens per query — even when only ~5,000 were actually useful. We didn’t notice how inefficient this was until we saw the cost and latency impact. We tried improving prompts and
My takeaway: We Cut 94% of AI Coding Tokens With a Local Code Index - Rajkumar Sakthivel, Tesco is an enterprise-adoption signal. The practical read is to watch how deployment scale, data boundaries, operational ownership, and platform controls change as AI moves out of experiments.