All Articles
4 Runtime Error Patterns from Gemma 4-Generated Code in Antigravity — and How to Fix Them
Gemma 4 writes clean-looking code — until it runs. This guide covers the four most common runtime error patterns in Antigravity-generated Python code: TypeError, AttributeError, asyncio issues, and import conflicts.
What You Lose When You Treat Antigravity as a Subordinate — A Decade of Solo Dev Perspective
Over-delegating to Antigravity quietly erodes your problem-solving ability. From 10+ years of solo app development, here's how to prevent cognitive outsourcing and keep your developer judgment sharp.
Diagnosing Antigravity's "Failed to fetch" errors when AI chat stops responding
When Antigravity's AI chat or agent runs suddenly halts with "Failed to fetch" or "Network Error," the recovery is faster if you peel layers off in a fixed order. Here is the field-tested checklist I use.
Debugging in the AI Agent Era — When to Trust and When to Question
Working with AI agents fundamentally changes how you debug. The question of 'where do I look first?' has shifted — and staying stuck in old habits means getting stuck in new ways. Here's how to recalibrate.
How to Fix Out of Memory Errors When Using Gemma 4 in Antigravity
Getting out of memory errors when running Gemma 4 in Antigravity? This guide covers how to diagnose the issue and fix it—from switching to quantized models to tuning Ollama settings—based on real troubleshooting experience.
App Store & Google Play Pricing Tiers: A Practical Country-by-Country Revenue Optimization Guide
Optimize your App Store and Google Play pricing tiers by country to significantly improve revenue from the same app. Covers the Tier system mechanics, purchasing power parity-based pricing, and revenue analysis with Antigravity.
Designing a Unified Mobile Revenue Funnel with Antigravity: AdMob, IAP, and Subscriptions for Indie Developers
A practical implementation playbook for indie mobile developers to unify AdMob, in-app purchases, and subscriptions into a single revenue funnel. Build automated dashboards and A/B testing pipelines with Antigravity.
Fixing uv add Errors with Python ML Packages
Practical fixes for uv add failing with transformers, torch, numpy, and other ML packages — covering Python version mismatches, dependency conflicts, CUDA/CPU torch selection, and build errors.
Retry Isn't Always the Answer in Antigravity — How to Tell When to Retry vs. When to Rethink
Learn when to use Antigravity's Retry feature and when it's time to change your approach entirely. A practical guide to diagnosing root causes before burning time on repeated failed attempts.
Pairing git bisect with Antigravity's AI to Find a Regression's Root Commit in Minutes
When something worked last week and is broken today, git bisect plus Antigravity's AI can isolate the offending commit in under thirty minutes. Here is the working split between human and AI that I have found most reliable.
When Antigravity's AI Imports a Package That Doesn't Exist
Antigravity's AI sometimes writes imports for packages that exist nowhere on npm. Here's how to spot phantom imports in five minutes, why the model invents them, and the AGENTS.md rules I use to keep my repo clean.
Drafting App Release Notes in Five Minutes with Antigravity: A Bilingual Workflow for Indie Developers
A practical workflow for indie app developers to draft App Store and Google Play release notes in both Japanese and English in under five minutes, using Antigravity together with Git.