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New CLI tool helps developers gauge codebase fit for LLM context windows

A developer has created Tokenazire, a command-line interface tool designed to help users determine if their codebase will fit within the context window of large language models like Claude and ChatGPT. The tool scans local folders or GitHub repositories, counts tokens using the tiktoken library, and provides a color-coded breakdown of file sizes. It also calculates the percentage of a model's context window that the project occupies and can export the entire codebase into a single text file for easy pasting into LLMs. AI

IMPACT Simplifies the process of using large codebases with LLMs, potentially increasing adoption for code-related tasks.

RANK_REASON The cluster describes a new software tool that integrates with existing LLMs, rather than a core AI model release or research.

Read on dev.to — LLM tag →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

New CLI tool helps developers gauge codebase fit for LLM context windows

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  1. dev.to — LLM tag TIER_1 English(EN) · Michael ·

    I built a CLI that tells you if your codebase fits an LLM's context window

    <p>Every time I wanted to paste a whole project into Claude or ChatGPT, I ended up guessing whether it would even fit — and often found out the hard way, mid-conversation, that it didn't.</p> <p>So I built Tokenazire, a small CLI tool that solves exactly that.</p> <p>What it does…