Record & Replay for Antigravity Agents
How to deterministically replay a failed Antigravity Agent run offline, drawn from a month of running it across four production sites. Covers boundary recording, R2 + KV storage costs, PII masking, and a working TypeScript harness.
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.
Giving Your Antigravity AI Agents a 'Time Budget' — A Production Scheduling Design That Unifies Timeouts, Priorities, and Deadlines
Your AI agent's response time creeps up, users drop off, and unexpected costs pile on. Here is how I give Antigravity agents a single 'Time Budget' object that unifies timeouts, priority, and deadlines, plus the traps I hit after half a year in production.
Designing Confidence Scores for Antigravity Agent Outputs: Auto-Approve the Certain, Escalate the Ambiguous
Reviewing every Antigravity Agent output by hand does not scale. Attach a confidence score to each output, auto-approve the certain ones, and only escalate the ambiguous to humans. This guide walks through implementation and threshold calibration end to end.
The Self-Critique Architecture for AI Agents — Four Reflection Patterns That Make Antigravity Outputs Trustworthy
Four production-tested patterns for adding self-critique loops to Antigravity agents, with implementation code, stopping conditions, confidence calibration, and cost-control strategies.
Building Serverless AI Pipelines with Antigravity: Cloud Run, Pub/Sub, and BigQuery in Production
A hands-on walkthrough for building production-grade serverless AI processing pipelines with Antigravity, Google Cloud Run, Pub/Sub, and BigQuery. Covers event-driven design, dead-letter queues, retry strategies, idempotency, and automated result storage — all with working code.
Building Idempotency Keys and Dedupe Stores in TypeScript with Antigravity
A production guide to designing idempotency keys and dedupe stores in TypeScript with Antigravity — covering Stripe webhook retries, Temporal replays, and the Cloudflare KV / Redis / Postgres trade-offs you actually need to choose between.
Replacing Prompt Engineering with DSPy in Antigravity: A Production Playbook for Self-Optimizing LLM Programs
Replace hand-tuned prompts with self-optimizing LLM programs in Antigravity — DSPy signatures, optimizers, evaluation, and production deployment.
Zero-Downtime Database Migrations with Antigravity: The Expand-Contract Pattern in Production
Run PostgreSQL type swaps, column renames, and table splits without stopping traffic: the Expand-Contract pattern with lock_timeout, chunked backfills, and primary-key swaps, checked with Antigravity's AI assistance.
Stateful AI Agents on Antigravity × Cloudflare Durable Objects — One Session, One Instance, One Place to Manage Conversation, Tools, and Cost
How to deploy an Antigravity AgentKit 2.0 agent onto Cloudflare Durable Objects so that conversation history, tool-call state, and token spend live inside a single instance per session — with the actual code and production cost numbers from my own deployment.
Antigravity × Unreal Engine 5 Plugin Production Guide — Designing Reusable Game Systems with AI for Multiple Titles
A production-grade guide to building UE5 plugins with Antigravity. Covers module design, build configuration, AI-friendly code separation, and distribution patterns for reusing one plugin across multiple titles.