All Articles
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 morning three-point check turned into a script — the model I have refined while running multiple products solo.
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.
Antigravity Agent Product Launch Blueprint — A 90-Day Roadmap to Ship and Sell an AgentKit 2.0 Product as an Indie Developer
A complete 90-day roadmap for turning an AgentKit 2.0 build into a product an indie developer can actually sell — covering product design, production-grade implementation, distribution channel choice, Stripe integration, launch prep, and the operational discipline that decides whether an agent business survives.
Building Multi-Agent Systems with AgentKit 2.0 in Antigravity — A Production Implementation Guide
AgentKit 2.0 dropped the barrier to multi-agent systems sharply. After implementing three different agent-coordination patterns in Antigravity, here's the design playbook covering decisions, traps, and production operation.
Five Paths to Sell AI Agents Built on AgentKit 2.0 — How Indie Developers Should Pick a Distribution Channel
AgentKit 2.0 lets a solo developer ship a real, useful AI agent. The hard question is where to sell it. This article walks through five distribution paths — marketplaces, direct sales, SaaS embedding, productized consulting, and subscription agents — with the trade-offs that matter.