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.
Antigravity Keeps Asking Permission for the Same Command? Fix the Approval Dialog Loop
Antigravity keeps prompting you to approve commands like npm install or git status, even after you clicked Always Allow? The cause comes down to three things: workspace trust state, pattern matching, and where the setting is stored. Here is the fix that actually sticks.
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.
Stop Antigravity From Writing Outdated API Code — Three Ways to Hand It Fresh Library Docs
A practical workflow for keeping Antigravity's AI on the latest library APIs — using Context7 MCP, direct doc URLs, and AGENTS.md to anchor the agent to your real version stack.
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.
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.
Half-Automating CHANGELOG.md From git log With Antigravity — A Solo Developer's Decision Log
You opened your code from six months ago and forgot why you made that change. A common solo-dev problem. Here's a half-automated workflow that uses Antigravity to draft CHANGELOG.md entries straight from your git log, with a working shell script.
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.
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.