Which Local-LLM Path to Keep with Antigravity: Ollama, LM Studio, or Raw Gemma 4 (Indie Judgment Notes)
After running three local-LLM paths from Antigravity in parallel, here is what I kept and what I cut, written from a one-Mac-mini indie operation.
Tuning AdMob Placements at Runtime with Firebase Remote Config and an Antigravity Agent
A practical look at how I combine Firebase Remote Config with an Antigravity Agent to nudge AdMob placements while the app is live, drawn from years of running wallpaper apps as an indie developer.
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.
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.