AG
Gemini & Antigravity v2.0 Agentic Engineering Guide
2026 Edition · Antigravity 2.0 & Gemini 3 Engineering Platform

From Foundation Models to Autonomous Agent Engineering

The definitive production manual for Google DeepMind’s autonomous stack: deep thinking chain tuning, sidecar MCP protocols, reactive wakeups, cross-agent benchmarks, and industrial Veo 3 cinematography.

agy-terminal — agentic-session
Gemini 3 Pro Online
developer@host:~/project $ agy run "Refactor JWT auth with replay protection and run full tests"

[AGY-Core] 🔍 Discovered 12 workspace files; ingested `rules/security.md`...

[Dispatcher] ⚡ Dispatched Subagent `test-runner` to baseline current test suite...

[Diff-Engine] 📝 Atomic diff applied to `src/auth.ts` (+32 lines, -11 lines)

[Verification] ✅ npm test: 24/24 specs passed in 1.4s with 0 regressions

[AGY] ✨ Objective achieved autonomously with verified end-to-end tests.

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Live System Topology

Antigravity 2.0 Dual-Lane Engine Architecture

Click any component node below to inspect real runtime dispatch protocols, sandbox isolation boundaries, and asynchronous event streams.

Click nodes to inspect runtime mechanicsDual-Lane Protocol v2.0
💻 Developer Terminal / IDE / CI (Prompt Input)
↓
↙ Lane 1 (Eager)Lane 2 (Lazy MCP) ↘
Orchestration Core

AGY Autonomous Core Engine

The central agentic brain managing prompt intent parsing, long-term transcript memory, and task state machines.

Architectural Highlights:

  • ✔Zero-loss session persistence with automatic transcript journaling
  • ✔Dual-lane tool routing (Eager vs Lazy protocol)
  • ✔Subagent spawning with isolated workspace branches
Typical Protocol / Command Example:
agy run "Audit SQL queries & refactor auth" --timeout 300
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Gemini 3 Native Context Tokens
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