Designing a Negative Spec for Antigravity Agents — The Forbidden-Territory List I Use Across 50M-Download Apps
Hand your Antigravity agents a list of things they must never touch — not just what they should do. Here is the FORBIDDEN.md template, subagent bootstrap, and reinjection script I run across 6 indie apps and 50M downloads.
Telling AI Agents 'Why' — 5 Context Design Principles to Prevent Misjudgment
When AI agents write correct code for the wrong job, the root cause is usually that you told them What but not Why. This guide covers 5 intent-context design principles for Antigravity agents, with practical patterns for AGENTS.md, task instructions, and error diagnostics.
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.
Iterating on AGENTS.md with a Weekly Failure Review — A Loop That Makes Antigravity Smarter
Your AGENTS.md is not done the moment you write it. Here is a weekly retro loop — with templates and concrete before/after examples — for evolving AGENTS.md from real failure logs.
Stop Antigravity From Writing Outdated API Code — Three Ways to Hand It Fresh Library Docs
A practical workflow for keeping Antigravity's AI on the latest library APIs — using Context7 MCP, direct doc URLs, and AGENTS.md to anchor the agent to your real version stack.
Antigravity Background Agent in Production — Task Specs, git worktree Parallelism, and the Interactions API
From the sandbox VM to task specifications, AGENTS.md, git worktree parallelism, CI/CD wiring through the Interactions API, and realistic cost estimates — including the mistakes that shaped each one.
Antigravity × Gemma 4 Multi-Agent Workflow: Building Local LLM-Powered AI Systems
Learn how to combine Antigravity IDE with Gemma 4 to build multi-agent systems that run entirely on your local machine. From setup to a practical CI/CD pipeline, this guide has you covered.
Antigravity Context Engineering Masterclass: Advanced Techniques to Maximize AI Accuracy in Large-Scale Projects
A comprehensive advanced guide to mastering context engineering in Antigravity. Learn AGENTS.md design patterns, Knowledge Items optimization, dynamic context injection, and team-wide context consistency strategies that keep AI accuracy at its peak across massive codebases.
AgentKit 2.0 Production Design Patterns — Strategic Architecture for 16 Specialized Agents
How to compose AgentKit 2.0's 16 specialized agents on a real production project: five orchestration patterns, which four agents earn a permanent seat, AGENTS.md as team standards, and how to split work across a 1M token context with Gemini 3.1 Pro.
Multi-Agent Architecture with AGENTS.md — Collaborative AI Development in Antigravity
Master AGENTS.md syntax to define multi-agent roles, communication patterns, and orchestration. Learn to architect collaborative systems using Manager Surface for large-scale projects in Antigravity.
Multi-Agent Development with Antigravity — Building Autonomous AI Teams with AgentKit
Deep dive into AgentKit 2.0 multi-agent design patterns. 5 orchestration strategies, runaway prevention, cost control, and production-ready templates.