token-saver. Content-aware output compression for AI coding assistants. Replaces blind truncation with intelligent strategies per file type: structural summaries for code, schema extraction for configs, error-focused filtering for logs, and smart sampling for CSVs. Saves tokens while preserving what the model actually needs.

github.com/ppgranger/token-saver

Vaya's read on this project

Problem, audience, market, and the verdict — sign in to see it.

Updates

No recent activity.