Google Antigravity
274 posts

Google Antigravity
@antigravity
An agentic development platform evolving the IDE into the agent-first era @GoogleDeepMind

What is reflective memory for an AI agent? It is not just saving chat history. I wrote a 5-part series on building this kind of memory loop for AI agents, from concept -> architecture -> a hands-on implementation with GoogleCloud using Antigravity. 💡 Concept: what reflective memory is 🧠 Memory types: learn the user and learn the job 🧭 System boundary: AI agent vs. AI harness 📐 Architecture: how to build an AI agent that learns 🧪 Implementation: build your own with Google Antigravity If you are building agents that need to learn, adapt, and improve over time, I hope this is useful :) Check the links in the comments.



Engineering teams frequently inherit monolithic codebases that are not well documented and riddled with tech debt. In this codelab, I provide step-by-step instructions to build a highly structured, open-source multi-agent orchestration framework. By using low freedom guardrails, you can perform a reliable greenfield migration complete with @antigravity browser subagent verification. You'll learn to: 🔹 Separate deterministic and heuristic tasks 🔹 Implement advanced agent design patterns 🔹 Set up closed-loop, self-healing TDD pipelines


