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All (1086)◉ Antigravity Basics (161)⟐ Editor View (82)◈ Agents & Manager (280)⬡ Integrations (144)▣ App Development (237)⚙ AI Tools (74)✦ Tips & Best Practices (108)
◉ Antigravity Basics/2026-04-14Beginner

Antigravity Local LLM Not Connecting: Four Causes to Check First

Can't get Antigravity to connect to your local LLM? This guide covers all four failure patterns — Ollama not running, LM Studio server not started, VRAM issues, and macOS firewall blocking — with diagnostic commands and step-by-step fixes.

⚙ AI Tools/2026-04-14Intermediate

Gemma 4 Implicit Caching in Antigravity: Cut Your Credit Costs by 40% Without Changing a Line of Code

A practical guide to leveraging Gemma 4's Implicit Caching in Antigravity. Learn how to structure your projects to dramatically reduce credit consumption when working with large codebases.

⟐ Editor View/2026-04-14Intermediate

Making Antigravity Write Type-Safe TypeScript — Eliminating `any` with Prompt Design and Rules Files

Stop `any` from creeping into AI-generated TypeScript. A practical guide to Rules file configuration and prompt design that keeps your codebase type-safe — even when Antigravity is doing the heavy lifting.

✦ Tips & Best Practices/2026-04-14Intermediate

Maximizing Antigravity Performance with Gemma 4: A Practical Guide

Master Gemma 4 performance optimization in Antigravity with response speed tuning, cost reduction strategies, and complete implementation patterns for API and local execution.

✦ Tips & Best Practices/2026-04-13Intermediate

Optimizing Gemma 4 System Instructions in Antigravity — Get Dramatically Better Responses from Your Local Model

When using Gemma 4 as a local model in Antigravity, system instructions make or break response quality. Here are tested patterns and measurable results from optimizing prompts for local inference.

◈ Agents & Manager/2026-04-13Advanced

Building a Coding Agent System with Gemma 4 × Antigravity — A Complete Implementation Guide for Code Review, Test Generation, and Refactoring

A hands-on guide to building a 3-agent collaborative system using Gemma 4 and Antigravity AgentKit 2.0, covering code review, automated test generation, and refactoring suggestions. Includes production-quality code and pitfall solutions.

⟐ Editor View/2026-04-13Intermediate

Gemma 4 × Antigravity: Build a Local AI Code Review Setup That Never Sends Your Code to the Cloud

Run Gemma 4 locally and integrate it with Antigravity's editor for AI-powered code reviews that keep your proprietary code entirely on your machine.

◈ Agents & Manager/2026-04-13Intermediate

Unit Testing AgentKit 2.0 Agents with Vitest — A Practical Guide

Learn how to unit test and integration test MCP skill servers built with AgentKit 2.0 using Vitest. Covers mock strategies, InMemoryTransport integration tests, and CI/CD setup with real working code examples.

◈ Agents & Manager/2026-04-13Advanced

Resilient AI Agents in Antigravity — Retry, Circuit Breakers, and Fallback Strategies for Production

Build fault-tolerant AI agents in Antigravity with retry strategies, circuit breakers, model fallback chains, and checkpoint recovery — plus a measured look at why exponential backoff alone leaves retry storms completely intact at 200-agent scale.

✦ Tips & Best Practices/2026-04-12Beginner

Fixing Antigravity When Files Are Missing or the Agent Can't Access Your Project

Practical troubleshooting guide for when Antigravity's agent can't find your project files, workspace detection fails, or indexing breaks. Covers .antigravityignore, permissions, and context overflow.

◈ Agents & Manager/2026-04-12Advanced

AI Agent Error Recovery Design: Building Pipelines That Don't Stop

Covers the typical failure patterns AI agents encounter in production and practical implementations of retry, fallback, and circuit breaker patterns to keep pipelines running.

◉ Antigravity Basics/2026-04-12Intermediate

Antigravity Context Window Management — Keeping AI Assistance Accurate in Large Codebases

Practical techniques for maintaining Antigravity's AI accuracy in 100K+ line projects. From eliminating context noise to strategic file referencing, these are battle-tested methods from real-world development.