Google Antigravity: How Agentic Coding Actually Works

How does Google Antigravity work, and what is agentic coding really? This is a clear, honest explainer of Google's agentic development platform and the bigger shift it represents: handing a goal to an autonomous AI agent instead of typing every keystroke. You will learn what Antigravity is, how its Editor View and Manager Surface let one person orchestrate many agents at once, and how a single agent edits files, runs the terminal, and drives a real browser using Gemini 2.5 Computer Use. We break down the engine every agent shares, the plan, act, observe, reflect loop, and explain tool use and function calling in plain language. Then we cover the headline idea, Artifacts, the verifiable proof of work that lets you audit instead of re-reading every line. We compare Antigravity to GitHub Copilot, Cursor, Windsurf, and Claude Code, talk honestly about pricing changes, and walk through the real risk, prompt injection. No marketing, just how agentic coding actually works. Chapters: 0:00 Stop typing, start delegating 0:45 What Antigravity is 1:16 The two surfaces 2:08 Where it came from and why it matters 3:35 What it can do 4:27 The agent loop and tool use 5:51 The headline idea: Artifacts 6:48 Orchestration and the model choice 8:00 How it compares, cost, and risk 11:31 What it means for coding 📺 More AI, explained simply: Subscribe to @HowAIWorksHQ for clear, honest explanations of how AI actually works. Google Antigravity, agentic coding, AI coding agent, Gemini 3, agent loop, tool use, function calling, Artifacts, prompt injection, Antigravity vs Cursor, Claude Code, how AI works, AI explained #GoogleAntigravity #AgenticCoding #Gemini3 #AICoding #AIAgents #HowAIWorks #AIExplained