Your Antigravity Sandbox Isolates Multi-Agents Less Than You Think — Notes on Containing the Blast Radius
An Antigravity sandbox gives you the feeling of isolation, but isolation leaks through three real gaps: shared volumes, over-broad allowed domains, and approval fatigue. Field notes on plugging the leaks, containing the blast radius by design, and proving isolation holds with tests.
Your Antigravity LLM App Drifts on Cost and Quality While the Dashboard Stays Green — Instrumentation Field Notes
Watching only total cost and latency hides the slow drifts that hurt. These are field notes on attributing telemetry by feature, tenant, and prompt version so you catch quality regressions and cost spikes early.
Containing Failure in Antigravity Multi-Agent Systems: Three Boundaries That Stop Cascades
Antigravity multi-agent setups run beautifully in isolation but cascade in production, where one small failure drags the whole orchestration down. These notes organize the fix around three boundaries—layered control, trust separation, and observability with idempotency—down to the TOML and the correlation-ID wrapper.
Delegate the Undoable, Guard the Irreversible — Tiering Agent Autonomy by Reversibility
When you hand production work to an Antigravity agent, the thing that bites first isn't intelligence — it's whether the operation can be undone. Here is a design that sorts every operation into three reversibility tiers and routes each to auto-execution, checkpointed execution, or a human gate, with TypeScript implementations and real numbers from running six apps in parallel.
Supervising Long-Running Antigravity Agents — Watchdog and Tiered Recovery
Eight weeks of running AdMob revenue optimization on Antigravity background agents revealed three quiet failure modes. Here is the watchdog plus tiered recovery design I landed on.
Cost Attribution for Antigravity Agents — A Showback Architecture That Maps Execution Cost Back to Tenants Across Multi-Product Operations
A multi-tenant Showback architecture for Antigravity agents running across multiple products, with the schema, propagation patterns, and seven months of production numbers from running 4 sites and 6 apps in parallel.
Designing a 4-Tier Fallback Architecture for Antigravity Agents — Catching Model Degradation, API Outages, and Cost Overruns Across Layers
How to design a 4-tier fallback hierarchy for production AI agents on Antigravity, drawn from 24 months of running 11 agents across 6 indie apps. Includes the decision logic, code, and real demotion statistics.
Designing Knowledge Freshness for Antigravity AI Agents — A Runtime Architecture for Model Cutoffs, Corpus Staleness, and Real-World Time Drift
Antigravity agents have to juggle three independent time axes — model cutoff, RAG corpus update, real-world clock — or they will confidently cite six-month-old documentation. Here is the runtime architecture I use, with working TypeScript code and the TTL thresholds I run in production.
Designing an HITL Approval Pipeline That Survives Production — Routing Probabilistic Actions Safely With Antigravity Agent
How I run a Human-in-the-Loop approval pipeline for Antigravity Agent in production — risk tiers, confidence-based routing, queue schema, audit logs, and the graduation criteria that move actions toward automation, drawn from six months of indie-app operations.
Using Claude Opus 4 / Sonnet 4 in Antigravity — Model Selection Strategy and Production Patterns
A practical guide to using Claude Opus 4, Sonnet 4, and Haiku 4.5 in Antigravity. Learn the decision framework and production implementation patterns for balancing cost, speed, and quality in real projects.
Building Production-Quality React Native iOS Apps with Antigravity
A practical guide to using Antigravity for React Native iOS app development. Covers project setup, TypeScript-typed code generation, common pitfalls, and App Store submission preparation.
How I Cut Gemini API Costs by 75% Using Context Caching in Antigravity
A complete implementation guide for Gemini API context caching in Antigravity — with working TypeScript and Python code, real cost calculation examples, and three production-ready patterns to dramatically reduce your API spend.