The original headline is "What I Learned Cutting Claude Code's Token Bill by 77%"

Short summary

The author built a transparent proxy profiler for AI coding agents and discovered that long sessions waste millions of tokens re-sending stale context on every turn. By pruning already-acted-on file reads, dropping unused tool schemas, and re-anchoring Anthropic's prompt cache breakpoints, they cut Claude Code's token bill by 77% without changing any outputs. Concrete benchmark numbers and pricing details are included.

• •AI coding agents re-send entire conversation history every turn, creating a token snowball
• •Pruning stale reads and unused tool schemas saves ~80% of input tokens with no output change
• •Prompt caching breakpoints must be re-anchored after optimization to maintain cache hits

Generated with AI, which can make mistakes.