The Gate That Stops Visual Damage Before You Hand Bulk Image Optimization to an Agent
When an agent bulk re-encoded a few hundred wallpaper assets, a handful came back with dulled color. Size-reduction alone cannot catch that. Here is how to design a gate that stops bad conversions before merge using three axes — SSIM, ΔE, and file size — with a checker that runs on Pillow and scikit-image.
What to Delegate to an Antigravity Agent and What to Keep by Hand, After Two Weeks
After two weeks of handing my daily solo-dev tasks to Antigravity agents, a clear line emerged between the work I was glad to delegate and the work I had to pull back. A retrospective with the operational log.
You Can Measure a Request Before You Send It — Sizing Agent Tasks by Working Backward from Rework Rate
When an Antigravity agent returns code that misses the mark, the cause is rarely the wording of the prompt. It is the size of the task. Here is a Python scorer that grades a request before you send it, plus what happened when I scored 80 past requests against their actual rework outcomes.
Antigravity Now Saves OAuth Tokens to the OS Keyring — Keeping Auth Alive in Headless Runs
In v2.2.1, refreshed OAuth tokens are saved to the OS keyring automatically. Pleasant on the desktop, but on headless scheduled runs the vault itself may not exist and auth quietly breaks. We design explicit backend selection, a safe file fallback, and per-location liveness checks.
When Successful Automation Quietly Stops Earning Its Keep: Designing for Value Decay and Retirement
A dashboard full of green success logs often hides the most dangerous kind of failure. Here is a design — with working code — for surfacing automations that keep succeeding while producing no value, and deciding whether to retire, repair, or keep them.
When a Stable Line and a Feature Line Ship Together, Which Build Should a Solo Operator Ride?
By shipping a 2.0 (stable) line and a 2.1 (feature) line in parallel, Antigravity now asks solo developers to decide which one to ride. Here is a design for selecting and switching builds without breaking your automation.
Catching Download Size Regressions Before Submission Day — A Weekly Agent Gate for AAB/IPA Size Budgets
Mediation SDKs and bundled assets quietly inflate download size. A design for size ledgers, budget gates, and agent-driven delta attribution using bundletool and App Thinning reports.
Stop Treating Dependency Updates as a Monthly Chore — Weekly Agent Runs with Semver Risk Triage and Verification Gates
Move from batch-updating 47 stale packages at once to a weekly agent-driven routine: semver-based risk tiers, a playbook YAML, hallucination-proof changelog reports, and a lockfile diff gate.
Stop Dreading the Rejection Email: Triaging App Store Review Feedback with an Antigravity Agent
A working setup for feeding App Store rejection notices into Antigravity, classifying them against a guideline playbook, and gating resubmission with an Info.plist lint — with real turnaround numbers.
Distribution-Path-Agnostic Antigravity CLI Automation: Betting on Both the Consumer and Google Cloud Editions
The 7/1 announcement began offering the Antigravity CLI via the Gemini Enterprise Agent Platform too. Here is a design that abstracts your personal automation to run on either the consumer or Cloud edition, laid out with a wrapper and capability-detection scripts.
It Worked Interactively but Went Silent Overnight — Making an Antigravity Agent Behave the Same in the Desktop and the CLI
An agent that runs perfectly in the Antigravity desktop app but does nothing when you schedule it through the CLI. This walks through absorbing the gap between interactive and unattended runs across four points — approvals, context, secrets, and runtime — with working code and a preflight check, so one definition behaves identically on both.
Don't Let Your Automation Lean on AI Ultra's 5x Ceiling
The $100/month AI Ultra plan raises Antigravity's usage limits to 5x AI Pro. But if you architect automation around that ceiling, it collapses the moment you drop back a tier. Here is a limit-independent degradation design, with the real pain points.