Versioning and A/B Testing Prompts for Production AI Agents in Antigravity
Hard-coding prompts in production turns improvement into guesswork. This guide walks through registry design, A/B traffic routing, statistical promotion, and rollback — with code you can ship inside your Antigravity environment.
Building Self-Healing Antigravity Agents — Detection, Diagnosis, and Recovery in Production
A practical three-layer pattern for keeping Antigravity agents alive in production: signal-based detection, deterministic diagnosis, and graduated recovery — with full AgentKit 2.0 code and the production traps I learned the hard way.
Designing a Context Compression Sub-Agent in AgentKit 2.0 — A Production Pipeline That Stops Long-Running Tasks From Drowning in Their Own History
When you run an AgentKit 2.0 agent for hours inside Antigravity, response time and accuracy degrade together as the conversation history balloons. This premium guide walks through a production-grade dynamic compression sub-agent — schema, prompt, integration hooks, and an A/B evaluation harness — so you can decide rollout based on numbers, not gut feel.
Giving Antigravity Agents Safe Write Access — Production Permission Boundary Design
A practical guide to designing Permission Boundaries that let AI agents safely touch production databases, deploys, and billing APIs — with dry-runs, approval queues, and audit logs.
Antigravity × Cloudflare Edge SaaS Architecture Guide: Production Patterns with D1, Workers, R2, and Workers AI
A complete production guide for building edge SaaS with Antigravity + Cloudflare D1, Workers, R2, and Workers AI. Covers real pitfalls including N+1 queries, CPU limits, and cost management.
Implementing Agent-to-Agent Communication in Antigravity Using the A2A Protocol
A practical guide to wiring agents together with the A2A protocol on Google Antigravity. Covers the design rationale, endpoint shapes, authentication, error handling, and the production-readiness checklist I run through.
Designing Antigravity Retry for Production — Idempotency, Backoff, Cost Ceilings, and Failure Triage
A production blueprint for Antigravity agent retry: idempotency, exponential backoff, token-budget ceilings, failure triage, and resumable checkpoints.
SRE for Antigravity Agents — Taming Probabilistic Systems with SLOs and Error Budgets
AI agents are probabilistic by nature, so running them in production without SRE thinking is risky. This guide shows how to apply SLIs, SLOs, and error budgets to Antigravity agents with working code and concrete operational decisions.
Antigravity × Local LLM (Ollama / LM Studio / LM Link): A Production Connection Playbook
Getting Antigravity to connect to Ollama, LM Studio, or LM Link is the easy part. Running on that setup for eight hours a day, week after week, surfaces disconnects, model-swap hangs, stale sessions after lunch, and VRAM pressure from other processes. This playbook covers hardening the connection layer, picking the right backend for the task, and designing the fallback path for when local goes silent.
Production Multi-Agent Systems with Antigravity AgentKit 2.0: Patterns, Failure Modes, and What the Demos Don't Show
AgentKit 2.0 makes multi-agent systems look effortless in demos, but running them in production is a different problem. This guide covers Planning vs. Fast mode, three real orchestration patterns, and the failure modes — infinite loops, cost blowouts, prompt injection — that bite on day one.
Semantic Caching for LLM Responses in Antigravity — A Production Guide to Cutting Costs by 80% with Similarity-Based Reuse
A production guide to building a semantic LLM response cache with Antigravity, pgvector, and Gemini. Covers threshold tuning, production pitfalls, monitoring metrics, and runnable implementation code.
Keeping the Antigravity Python API Stable in Production — Retries, Timeouts, and Circuit Breakers That Actually Work
A deeply practical guide to keeping Python services built on the Google Gen AI SDK alive under real traffic. We cover retry, timeout, circuit breaker, rate limit, and cost budgeting patterns with runnable code from an Antigravity workflow.