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<ahref="https://marketplace.visualstudio.com/items?itemName=robertpiosik.gemini-coder"target="_blank"><imgsrc="https://img.shields.io/badge/Install-VS_Code_Marketplace-blue"alt="Get from Visual Studio Code Marketplace" /></a> <ahref="https://open-vsx.org/extension/robertpiosik/gemini-coder"target="_blank"><imgsrc="https://img.shields.io/badge/Install-Open_VSX_Registry-a60ee5"alt="Get from Open VSX Registry" /></a> <ahref="https://github.com/robertpiosik/CodeWebChat/blob/dev/LICENSE"target="_blank"><imgsrc="https://img.shields.io/badge/License-GPL--3.0-green.svg"alt="GPL-3.0 license" /></a>
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Cost-efficient AI coding with first-class support for prompt caching, enabling reduced latency and input token costs by up to 90%.
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Cost-efficient AI coding with first-class support for [prompt caching](https://platform.openai.com/docs/guides/prompt-caching), enabling reduced latency by up to 80% and input token costs by up to 90%.
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Works with VS Code family of editors (Cursor, Antigravity, VSCodium, etc.).
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✅ **Send prompts anywhere**
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❤️ **Free and open-source**—released under the GPL-3.0 license \
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🏠️ **Local friendly**—zero tool-calling design suits small models \
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🔒 **Privacy-focused**—runs 100% on your local machine \
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🌱 **Efficient**—carry cached prompt across tasks
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🌱 **Efficient**—carry cached input tokens across tasks
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