Dev Tools · 1h ago
Measure and trim your codebase to fit AI context windows
A new tool called ctxpack helps developers estimate token counts offline and trim codebases to fit LLM context windows. It uses character and symbol-run counts to approximate tokens within 5-10% of real BPE tokenizers. When over budget, it omits the largest file bodies while keeping every file listed in the index.
Meridian48 take
The token estimation technique is practical, but the tool's reliance on a specific npm package may limit adoption; the real value is the methodology for budgeting context window space.
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Will your codebase fit in the context window? How to measure it (and trim to fit) →
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context-windowtoken-estimation