# Using local LLMs for agentic coding

DevFeed: [Using local LLMs for agentic coding](<https://devfeed.tech/articles/using-local-llms-for-agentic-coding-29082.md>)

Original publisher: [Read original article](<https://blog.alexewerlof.com/p/local-llms-for-agentic-coding>)

Author: Alex Ewerlöf

Published: 2026-06-04T09:01:34Z

Content type: tutorial

Language: en

Sources: [Alex Ewerlof Notes](<https://devfeed.tech/sources/alex-ewerlof-notes.md>)

Topics: [coding](<https://devfeed.tech/topics/coding.md>), [agentic-coding](<https://devfeed.tech/topics/agentic-coding.md>), [Large Language Model](<https://devfeed.tech/topics/llm.md>), [GitHub Copilot CLI](<https://devfeed.tech/topics/github-copilot-cli.md>), [Linux](<https://devfeed.tech/topics/linux.md>), [llama.cpp](<https://devfeed.tech/topics/llama-cpp.md>), [Ollama](<https://devfeed.tech/topics/ollama.md>), [NVIDIA RTX](<https://devfeed.tech/topics/nvidia-rtx.md>)

Tags: [agentic-coding](<https://devfeed.tech/tags/agentic-coding.md>), [agents](<https://devfeed.tech/tags/agents.md>), [ai](<https://devfeed.tech/tags/ai.md>), [claude](<https://devfeed.tech/tags/claude.md>), [coding](<https://devfeed.tech/tags/coding.md>), [github](<https://devfeed.tech/tags/github.md>), [linux](<https://devfeed.tech/tags/linux.md>), [llama](<https://devfeed.tech/tags/llama.md>), [llama-cpp](<https://devfeed.tech/tags/llama-cpp.md>), [llms](<https://devfeed.tech/tags/llms.md>), [local](<https://devfeed.tech/tags/local.md>), [local-llms](<https://devfeed.tech/tags/local-llms.md>), [microsoft](<https://devfeed.tech/tags/microsoft.md>), [nvidia](<https://devfeed.tech/tags/nvidia.md>), [nvidia-rtx](<https://devfeed.tech/tags/nvidia-rtx.md>), [ollama](<https://devfeed.tech/tags/ollama.md>), [quality](<https://devfeed.tech/tags/quality.md>), [rocm](<https://devfeed.tech/tags/rocm.md>), [state](<https://devfeed.tech/tags/state.md>)

## AI overview

A practical guide to using local language models for agentic coding. It covers running local models, configuring coding agents such as Copilot and Pi, and evaluating local models against cloud models in terms of cost, privacy, tooling, and performance.

## Source excerpt

AI honeymoon pricing is over, but your work is not