From ffbaa8ac965a9df72e3aa3e67ed4ffe3f307a002 Mon Sep 17 00:00:00 2001 From: Paul Buetow Date: Mon, 4 Aug 2025 17:49:59 +0300 Subject: Update content for html --- .../2025-08-05-local-coding-llm-with-ollama.html | 22 +++++++++++++++++++++- 1 file changed, 21 insertions(+), 1 deletion(-) (limited to 'gemfeed/2025-08-05-local-coding-llm-with-ollama.html') diff --git a/gemfeed/2025-08-05-local-coding-llm-with-ollama.html b/gemfeed/2025-08-05-local-coding-llm-with-ollama.html index b47dda81..1bccab43 100644 --- a/gemfeed/2025-08-05-local-coding-llm-with-ollama.html +++ b/gemfeed/2025-08-05-local-coding-llm-with-ollama.html @@ -27,6 +27,26 @@ /_| |_\_________________/ quantised \
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With all the AI buzz around coding assistants, and being a bit concerned about being dependent on third-party cloud providers here, I decided to explore the capabilities of local large language models (LLMs) using Ollama.

Ollama is a powerful tool that brings local AI capabilities directly to your local hardware. By running AI models locally, you can enjoy the benefits of intelligent assistance without relying on cloud services. This document outlines my initial setup and experiences with Ollama, with a focus on coding tasks and agentic coding.
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Other related posts are:

-2025-08-05 Local LLM for Coding with Ollama (You are currently reading this)
+2025-08-05 Local LLM for Coding with Ollama on macOS (You are currently reading this)
2025-06-22 Task Samurai: An agentic coding learning experiment

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