Android 17's Local Network Permission: Inventory Every LAN Call Site Before You Hand the Fix to an Agent
Apps targeting the new API level need explicit permission to reach the local network. A grep for private IPs found 2 of my 11 LAN paths. Here is the detector that found all 11, and how I turned its output into eleven checkable tasks for an agent.
Running 50+ AdMob Mediation Groups Alone: Four Tasks I Handed to an Agent, Four Decisions I Kept
Two wallpaper apps on iOS and Android put me past 50 AdMob mediation groups. Here are the four tasks I handed to an agent, the four decisions I kept, and the sample-size hole I later found in the evaluation code I had published.
Record & Replay for Antigravity Agents
How to deterministically replay a failed Antigravity Agent run offline, drawn from a month of running it across four production sites. Covers boundary recording, R2 + KV storage costs, PII masking, and a working TypeScript harness.
Antigravity Multi-Agent State Tiers — A Three-Layer Design with Ephemeral, Journal, and Canonical
Before your Antigravity Background Agents and Sub-agents start mixing up their memory, split agent state into three lifetimes — ephemeral, journal, canonical — and map each to the right Cloudflare store. Includes a TypeScript approval gate for write-back, and what changed when headless runs stopped silently auto-approving.
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.
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.
Replay-Driven Agent Design — Time-Travel Debugging for Production AI Agents
Reproduce one-off agent failures from production on your laptop. A practical three-layer replay design — event, state, and decision — built on top of Antigravity's Manager Surface, with TypeScript code you can drop into your own stack.