Show HN: Claude Code Context Analyzer (github.com)

A new tool called the Claude Code Context Analyzer was recently unveiled, designed to optimize the usage of context windows in the Claude Code environment. This analyzer tracks and visualizes how context is consumed throughout interactions, focusing on tool calls, session lifecycle, and user engagement. By leveraging a robust database setup with SQLite to store extensive session data, users can gain insights into context growth, cache churn, and API token usage through an accessible dashboard. The significance of this tool for the AI/ML community lies in its ability to enhance efficiency and cost-effectiveness when utilizing large language models. Users can analyze multiple sessions, compare costs against context sizes, and observe composition details of their API calls. Key findings include that tool input/output accounts for over 60% of context usage, and there's a notable drop in relevance, with 30% of context turning stale within five interactions. This tool equips developers and researchers with the necessary metrics to fine-tune their applications, ultimately leading to smarter, more cost-efficient AI implementations.