Calling Local LLMs from Antigravity — Ollama and LM Studio Integration in Practice
Running local LLMs from Antigravity via Ollama or LM Studio: a real benchmark harness, how to confirm the model is actually on the GPU, a monthly breakeven model, and a wrapper that forces JSON output.
A Daily LM Studio Workflow in Antigravity
A practical guide to making LM Studio your everyday model provider inside Antigravity — how to pick a model, wire up the OpenAI-compatible server, and survive the small surprises that come with daily use.
Antigravity × Multi-Provider LLM Failover — A Production Guide for Gemini, Claude, and Local Gemma
When Gemini returns 503, does your agent stop responding? This guide walks through a production-ready router, circuit breaker, and graded fallback design, with code you can paste in today.
Routing Between Local Gemma and Cloud Gemini 3.5 Flash by How Easily You Can Verify the Output
When I split local and cloud work by whether it was sensitive, or by which was faster, my decisions wobbled every time. The axis that finally held was different: if the output is wrong, can I catch it cheaply and undo it cheaply? Here is a router that chooses a model from verifiability and recovery cost, with working code and a measurement ledger.
Pairing a Local LLM With Antigravity to Keep Sensitive Code Off the Cloud
Should you really let a cloud agent read code that holds your billing keys and revenue logic? For indie developers that worry is concrete. Here I pair Ollama and Gemma as a local LLM with Antigravity, routing sensitive parts to local and general parts to the cloud, with the decision rules and measurements.
When Japanese Prompts Drag Down Antigravity Quality — A Multilingual Operator's Hybrid Workaround
Switching Antigravity's UI to Japanese is one thing; getting Antigravity to produce quality output from Japanese prompts is another. As an indie developer running multilingual apps and Japanese-language blogs in parallel, I break down measured quality drops with Japanese prompts, a hybrid English-Japanese strategy, a lightweight translation layer, and the reality of running Gemma 4 locally for Japanese.