Your Antigravity LLM App Drifts on Cost and Quality While the Dashboard Stays Green — Instrumentation Field Notes
Watching only total cost and latency hides the slow drifts that hurt. These are field notes on attributing telemetry by feature, tenant, and prompt version so you catch quality regressions and cost spikes early.
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.
Maintaining Antigravity Quality in Long-Term Projects — 7 Principles for Session Design and Context Management
Why Antigravity output quality degrades in long-term projects, and how to prevent it. Seven practical principles for agents.md design, session structure, and context management.
Building a Production Quality Automation Pipeline with Antigravity, Sentry, and GitHub Actions
A complete guide to integrating Antigravity AI agents with Sentry error tracking and GitHub Actions to automate the entire quality loop — from bug detection to auto-fix pull requests — in production.
Harness Engineering: Building Stable AI Agents
Master the four pillars of harness engineering—constraint, information, verification, and correction—to build AI agents that improve automatically and maintain stability at scale.
AI Code Review Guide — Improve Code Quality with Antigravity Editor
Master AI-powered code review in Antigravity Editor. Learn how to detect bugs, security vulnerabilities, and performance issues automatically.