I’m testing whether a local model can replace most of my cloud coding-agent usage. On an M4 Pro Mac with 48 GB unified memory, Claude Code pointed at Ollama with qwen3.8:27b-mlx successfully read and summarized a real repository file. It found the exact line count and all five names I was checking. The same model was not reliable through Codex. One run never completed, and another local model refused to access files. Qwen3.6 was faster through Claude Code but made a small factual error. Qwen3.8 was slower but more accurate. For people using Claude Code with local providers, what settings or workflow rules have made it dependable for larger repository tasks? Do you use a special model template, custom system prompt, or separate research and editing sessions? submitted by /u/UkrMalt
Originally posted by u/UkrMalt on r/ClaudeCode