<ul data-eligibleForWebStory="true"><li>The individual set up their own GPT-powered coding assistant locally.</li><li>The assistant was made accessible via an OpenAI-compatible API.</li><li>A CLI app using argparse was created for better interaction.</li><li>Prompt design is highlighted as crucial when working with LLMs.</li><li>Responses were received in under 2 seconds and were of high quality.</li><li>The quality of responses was comparable to GPT-4 for technical tasks.</li><li>Exploration of using neovim RPC to display responses in a floating window inside the editor was done.</li><li>This allowed for offline and personalized coding assistance.</li><li>Benchmarking model changes over time was made easier through this setup.</li><li>The project enhanced the individual's understanding of large language models significantly.</li></ul>

Building My Own GPT-Powered Coding Assistant

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