Designing Antigravity's Architect / Builder Mathematically — Agent Design Through the Lens of Search, Classification, and Inference
Antigravity's Architect/Builder split looks suspiciously like the math behind search engines and classifiers. Here is a way to think about agent design using the language of weighting, candidate pruning, and probability — for more stable, reproducible agents.
Building Multi-Agent Systems with AgentKit 2.0 in Antigravity — A Production Implementation Guide
AgentKit 2.0 dropped the barrier to multi-agent systems sharply. After implementing three different agent-coordination patterns in Antigravity, here's the design playbook covering decisions, traps, and production operation.
Implementing Antigravity's A2A Protocol — Practical Patterns for Agent-to-Agent Conversation
A hands-on guide to Antigravity's A2A (Agent-to-Agent) protocol. Walks through the minimal two-agent setup and three real-world patterns — fire-and-forget, bidirectional confirmation, and scatter-gather — with runnable samples.
Production Multi-Agent Systems with Antigravity AgentKit 2.0: Patterns, Failure Modes, and What the Demos Don't Show
AgentKit 2.0 makes multi-agent systems look effortless in demos, but running them in production is a different problem. This guide covers Planning vs. Fast mode, three real orchestration patterns, and the failure modes — infinite loops, cost blowouts, prompt injection — that bite on day one.
Building a Multi-Agent System in Antigravity
One agent trying to do everything hits a ceiling. Designing and implementing multi-agent systems on Antigravity's Manager Surface: role delegation, three architectural patterns, and pairing with Gemma 4.
AI Agent Memory Architecture: Designing Long-Term Memory
A systematic guide to giving AI agents long-term memory. Learn how to build a practical memory system combining vector databases, episodic memory, and semantic search.
Multi-Agent Architecture Design — Leading AI Teams with Manager Surface
Design multi-agent architectures in Antigravity: orchestrate specialized agents with Manager Surface, codify team standards in AGENTS.md, and lead AI teams.