I Pushed Local LLMs Harder. Here's What Two Models Actually Did.

Mon, 02 Mar 2026 00:00:00 -0700

In Part 1 of this series, I set up Claude Code against local LLMs on dual MI60 GPUs and watched it scaffold a Flask application from scratch. Small tasks worked. Complex ones did not. I ended with three ideas I wanted to test: running a dense model, trying Claude Code’s agent teams feature, and building a persistent memory layer for coding sessions.

I started the experiment that mattered most: giving a local LLM a project with real scope and seeing what happened. I ran the same project against two different models. The results were instructive, and not in the direction I expected.

I Ran Claude Code on Local LLMs for a Month. Here's What Worked for Me.

Mon, 16 Feb 2026 00:00:00 +0000

I have been running local LLMs on dual AMD MI60 GPUs for over a year, and recently pointed Claude Code at them to see how close I could get to frontier-quality agentic coding on my own hardware. I wanted to know: how close can local models actually get to Anthropic’s Claude for building real software?

This is the first post in a series documenting that experiment. Future posts will cover specific agentic coding sessions, hardware and model setup, and the tools I am building to close the gap.

Claudecode on Hullabalooing

I Pushed Local LLMs Harder. Here's What Two Models Actually Did.

I Ran Claude Code on Local LLMs for a Month. Here's What Worked for Me.