Antigravity Multi-Agent State Tiers — A Three-Layer Design with Ephemeral, Journal, and Canonical
Before your Antigravity Background Agents and Sub-agents start mixing up their memory, split agent state into three lifetimes — ephemeral, journal, canonical — and map each to the right Cloudflare store. Includes a TypeScript approval gate for write-back, and what changed when headless runs stopped silently auto-approving.
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.
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.
Replay-Driven Agent Design — Time-Travel Debugging for Production AI Agents
Reproduce one-off agent failures from production on your laptop. A practical three-layer replay design — event, state, and decision — built on top of Antigravity's Manager Surface, with TypeScript code you can drop into your own stack.
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.
Stopping an Antigravity Agent Mid-Run: How to Pause and Resume Without Losing Your Work
When an agent starts heading in the wrong direction, hitting Stop without thinking can leave half-edited files and broken checkpoints. Here is the workflow I use to pause an agent and resume cleanly.
Designing Production Incident Runbooks for Antigravity Agents: A Practical Framework from Detection to Recovery
A complete guide to designing incident runbooks for production Antigravity Agents — detection, triage, mitigation, and postmortem, with working code you can drop into your stack today.