All Articles
When Parallel Antigravity Agents Fight Over the Same File — Preventing Conflicts and Surviving Real-World Race Conditions
Running Antigravity agents in parallel surfaces five concrete kinds of conflict and three classic race conditions. This guide walks through each one with reproducible failures and the locking, optimistic, and queue-based fixes I actually run in production.
Antigravity Agent Shadow Mode Production Rollout Guide — A Safer Way to Test New Versions
How to safely roll out new versions of an Antigravity AI agent by mirroring real production traffic to the new version without affecting users — design, implementation and rollout playbook.
Building Validation Loops in Antigravity Agents: 3 Patterns for AI-Verified Output
Make your Antigravity agents verify their own work. This guide walks through three practical validation loop patterns — Self-Verifier, Critic-Approver, and Test-Driven — with working code examples in AgentKit 2.0.
Teaching Antigravity Agents to Learn from Failure — A Solo Developer's Loop for Reusing Failure History
Antigravity agents repeat the same mistakes because each session starts blank. A solo developer's six-month run with a structured failure log, a separate observer agent, and the side-effect of overfitting.
Antigravity Model Picker Showing No Models — How to Diagnose and Recover
When the Antigravity model selector goes empty and you cannot pick a model, the cause is usually one of four things. This guide walks through each layer with diagnostic commands so you can recover in minutes.
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.
Before Your Antigravity Agent Bill Goes Sideways: A Solo Developer's Forecast and Cutback Playbook
Discovering your monthly bill is an order of magnitude larger than expected is the first big trap of running agents. Here's the forecasting and cutback playbook I've built up as an indie developer, with concrete numbers, a working guardrail script, and the monthly review cycle I use.
Turning AI Agents into Products — Build Billable Automation Services with Antigravity
Learn how to package Antigravity's multi-agent capabilities into sellable automation services. Covers AgentKit 2.0 orchestration, usage-based billing, and three ready-to-sell agent service blueprints.
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.
Letting Antigravity Be Your Night-Shift Engineer: A Solo Dev Operating Model
How to operate Antigravity agents as the second engineer who works while you sleep. Task hand-off, scope boundaries, and a five-minute morning review — the model I have refined while running multiple products solo.