Claude Code hooks into local llama.cpp

This is a useful hack, but it’s also a sign that local-first AI dev tooling is maturing fast: the gap between proprietary coding assistants and self-hosted models is getting smaller at the protocol layer, not the UX layer.

• –`llama.cpp`’s Anthropic Messages API support is the key enabler here; without that, Claude Code would need a proxy or adapter.
• –The setup is brittle in the usual local-LLM way: environment variables, base URLs, and exact model-name matching all have to line up.
• –The VS Code config is the more interesting part because it hints at model switching across preconfigured backends, which is handy for testing different local models.
• –This is most appealing for privacy-conscious or offline workflows, but quality will still hinge on the model you slot in, not the wrapper.
• –The post is a tutorial, not a launch, but it captures a real infrastructure shift for agentic coding tools.