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Refine the README text to emphasize guiding the model using context
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‎README.md‎

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<a href="https://marketplace.visualstudio.com/items?itemName=robertpiosik.gemini-coder" target="_blank"><img src="https://img.shields.io/badge/Install-VS_Code_Marketplace-blue" alt="Get from Visual Studio Code Marketplace" /></a> <a href="https://open-vsx.org/extension/robertpiosik/gemini-coder" target="_blank"><img src="https://img.shields.io/badge/Install-Open_VSX_Registry-a60ee5" alt="Get from Open VSX Registry" /></a> <a href="https://github.com/robertpiosik/CodeWebChat/blob/dev/LICENSE" target="_blank"><img src="https://img.shields.io/badge/License-GPL--3.0-green.svg" alt="GPL-3.0 license" /></a>
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Agent-free AI pair programming for production-grade code. Control the context to guide the model to the responses you expect.
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Agent-free AI pair programming for production-grade code. Guide the model with context and get edits you expect.
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Works with VS Code, Cursor, Windsurf, and other forks.
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> [!NOTE]
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> The _Apply response_ button placed under responses is not a means of automatic output extraction, it's an alias for the original _copy to clipboard_ button.
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🧑‍💻 **Control the context, guide the model**
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🧑‍💻 **Guide the model with context**
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Large language models (LLMs) are trained on vast datasets targeting many use cases. For code generation, a model's training involves analyzing millions of simulated problem-solving flows, such as arriving at the accepted answer from a given StackOverflow question. For the purpose of agentic coding, models are trained on an additional layer of data that simulates gathering context and planning its next steps.
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