A Bun preload that strips agent transcripts reveals the hidden cost of open-weight adoption

<p>A Bun preload that strips agent transcripts from Claude Code saves roughly fifteen to twenty percent of token spend on status lines alone. That figure, documented in an open gist, is the kind of hidden cost that small AI teams rarely budget for. It points to a larger tension: practitioners are being asked to adopt faster, larger, and more open models while absorbing undocumented operational ove

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