Qwen2.5-Coder-14B Eyes VS Code, Antigravity

Qwen2.5-Coder-14B looks like a sensible local assistant; the real question is which IDE stack makes it feel native. Qwen's model card says the 14B variant is Apache-2.0, has a 128K context window, and is built for code generation, reasoning, and repair: [Qwen model card](https://huggingface.co/Qwen/Qwen2.5-Coder-14B). Continue explicitly supports Ollama-backed local models in VS Code, and its Ollama guide says local models can run on your computer if you have enough memory: [Continue models](https://docs.continue.dev/customize/models), [Ollama guide](https://docs.continue.dev/guides/ollama-guide). Ollama also documents a VS Code integration that exposes local models directly in Copilot Chat's model picker: [Ollama VS Code](https://docs.ollama.com/integrations/vscode). On a 32GB laptop, chat and scoped refactors are likely the sweet spot; always-on autocomplete and agent mode are the first places a local 14B model usually feels slower. Google's Antigravity docs describe a Gemini 3 Pro-powered development environment with Vertex AI Model Garden models; I didn't find public docs mentioning Ollama or custom local endpoints, so that path still looks cloud-first: [Google AI Ultra / Antigravity](https://support.google.com/googleone/answer/16286513?co=GENIE.Platform%3DAndroid&hl=en_BE).