All Articles
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.
Letting Antigravity Background Agent Watch the First 72 Hours After Release: A Monitoring Pipeline Forged Across Six Wallpaper Apps
Drawing on twelve years of indie iOS and Android development and six wallpaper apps released in parallel, this article shares a release-monitoring workflow built on Antigravity Background Agent. It covers how to collapse Firebase Analytics, Crashlytics, and AdMob into one Markdown report, with the actual queries and thresholds used in production.
Prompt Caching and Context Strategy for Antigravity Agents — Cutting 60-80% Off Monthly API Costs in Long-Running Production
The longer you keep agents running, the more the monthly invoice quietly piles up. Running Antigravity agents alongside an AdMob-monetized indie app business (50M cumulative downloads), I managed to cut API costs by 60-80% by rebuilding prompt caching and context strategy. This article shares the three-layer cache, context compression, and TTL design I now run in production — with the code and numbers behind them.
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.
Splitting Daily Crashlytics Triage Across Five Antigravity Sub-Agents
Running six indie iOS and Android apps, the morning Crashlytics triage was draining me. I split the workflow across five Antigravity sub-agents (Fetcher, Classifier, Repro, Patch, PR) and locked their input and output to JSON schemas. Two weeks of production data shows where the human review boundary belongs.
Integrating Antigravity Agents into My Android Release Workflow — 3 Months of Honest Findings
Three months of running Antigravity Agents inside my Android release flow: where crash diagnosis landed, where it missed, how I turned staged-rollout Go/No-Go into a threshold dialog, and the context checklist that decides diagnostic accuracy.
Telling AI Agents 'Why' — 5 Context Design Principles to Prevent Misjudgment
When AI agents write correct code for the wrong job, the root cause is usually that you told them What but not Why. This guide covers 5 intent-context design principles for Antigravity agents, with practical patterns for AGENTS.md, task instructions, and error diagnostics.
What I Delegated to an AI Agent — And What I Should Have Kept
Delegating production work to an Antigravity agent taught me where the line sits between what an agent should own and what I have to decide myself. Here's the framework — and the gate script — I now use before handing off any task.
Tracking AI Agent Decisions in Antigravity: Implementing Decision Logs and Explainability
Learn how to design decision logging systems that capture why your AI agents make specific choices. Includes working Python code examples, Before/After patterns, and a quality improvement cycle for production Antigravity agents.
Canary Deployment with Auto-Rollback for AI Agents — Protecting Production with Antigravity and Burn-Rate SLOs
A practical playbook for shipping new AI agent versions through canary deployment on Antigravity, with automatic rollback driven by burn-rate SLOs. Includes a lightweight setup that solo developers can sustain.
Defining 'Done' with Antigravity Agents: Writing Acceptance Criteria into Your Prompts
When Antigravity returns code that is only halfway working, the usual cause is a missing Definition of Done. Here is the three-layer fix.