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.
Three Decisions I Kept for Myself When Antigravity Maintained My Older Apps
How far could Antigravity maintain my long-running wallpaper and wellness apps? A field log of crash fixes and a staged rollout, with the lines I drew between delegated and retained work, and how I write context notes.
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.
Running a Solo AI Studio with Antigravity × Google AI — Automating Every Stage of App Development as One Developer
How to combine Antigravity 2.0 and Antigravity CLI with Stitch and Veo 3 into a pipeline that takes an app from design through implementation, testing, asset generation, and App Store submission, driven by one developer. Covers where to delegate to agents and the operational pitfalls.
Building Serverless AI Pipelines with Antigravity: Cloud Run, Pub/Sub, and BigQuery in Production
A hands-on walkthrough for building production-grade serverless AI processing pipelines with Antigravity, Google Cloud Run, Pub/Sub, and BigQuery. Covers event-driven design, dead-letter queues, retry strategies, idempotency, and automated result storage — all with working code.
Google Antigravity May 2026 Updates
A roundup of Google Antigravity's May 2026 updates, written from hands-on use: where each change actually helped and where it tripped me up. Covers AgentKit 2.0, A2A protocol support, local LLM improvements, Gemma 4, and context window expansion.
Antigravity × Unreal Engine 5: In-Game AI Agents
A deep dive into integrating Antigravity into Unreal Engine 5 — three integration architectures, NPC implementation, procedural generation, performance budgets, and the three pitfalls I hit shipping a real project.
Choosing Antigravity, Cursor, or Bolt by Payback — A Break-Even Note for Indie Developers
A comparison of Antigravity, Cursor, and Bolt that asks one question: how many saved hours pay back the monthly fee? Pricing changes often, so instead of fixed numbers you get a break-even script to run on your own figures, plus a way to split client work, own apps, and prototyping.
Gemini CLI vs Antigravity: When to Use Which (2026 Field-Tested Verdict)
The verdict: split by task granularity, not by loyalty. Where Gemini CLI, Gemini Code Assist, and Antigravity sit relative to your editor, the decision tree six months of parallel use produced, and how proxies and DevContainers change the answer.
Launching an Indie SaaS on Antigravity — A 2026 Monetization Roadmap
A practical 2026 roadmap for monetizing an indie SaaS built with Google Antigravity's agentic IDE — covering use-case selection, agent-aware unit economics, pricing for multi-step tasks, and the retention work specific to agent-driven products.