Running AI models locally is becoming practical for everyday development. By combining Ollama, Google's Gemma 4 model, VS Code, and GitHub Copilot Free, developers can set up a local AI coding assistant that runs inference on their own hardware. This hybrid approach reduces cloud token usage, improves privacy for sensitive work, and lowers the barrier to AI experimentation. Local models excel at focused tasks like explaining code, writing unit tests, generating documentation, and converting snippets, while cloud-hosted models still hold an edge for complex multi-file reasoning, large refactors, and advanced agent workflows. Hardware matters significantly, with Apple Silicon machines being particularly capable. The broader trend points toward local AI becoming a standard part of the developer workstation alongside tools like Git and Docker.
