ANTIGRAVITY LABJP
TAG

tips

38 articles
Back to all tags
Related:
antigravity31troubleshooting14workflow8productivity6debugging5editor3cost-optimization3typescript2Antigravity2cli2automation2ai-workflow2
Tips/2026-07-18Advanced

When the JSDoc an AI Wrote Quietly Stopped Matching the Code: Field Notes on Measuring Documentation Drift

AI-generated JSDoc gets written once, looks authoritative, and is then trusted and left to rot. Field notes on hashing function signatures to detect staleness, tracking a drift rate, and fixing only the blocks that actually diverged.

Tips/2026-06-28Intermediate

Hearing the Audio an Agent Made, Right Inside the Conversation

A recent Antigravity point release added inline audio rendering in the conversation view. Here is how playing agent-made audio in place changes the way I audition sound assets for my apps.

Tips/2026-06-20Intermediate

Keeping Scheduled Runs Reproducible: Pinning the Antigravity CLI Version to Tame Behavior Drift

The Go-based Antigravity CLI is now available to everyone, and updates are landing at a quick pace. When a CLI baked into your automation upgrades underneath you, a single morning's job can behave differently. Here is how I keep things reproducible — pinning the binary, recording its identity in each run's log, and rolling upgrades forward one job at a time — drawn from running four sites on an overnight schedule.

Tips/2026-06-17Intermediate

Three Prompts I Tried When Antigravity's Code Felt Correct But Not Mine

When Antigravity's output runs but never quite fits your codebase, the gap is usually missing design context. Three prompting patterns for handing over intent — plus the cases where even that wasn't enough, from real indie development.

Tips/2026-06-16Advanced

Measuring the Go-Based Antigravity CLI's Responsiveness to Rethink My Nightly Batch

The Antigravity CLI was reimplemented in Go, and startup and first-response feel different now. I measure startup, time-to-first-token, and throughput as three separate intervals, then use those numbers to move my nightly batch from serial to parallel.

Tips/2026-06-14Intermediate

Keep Side Questions Out of Your Main Thread with Antigravity's /btw

How Antigravity 2.1.4's /btw slash command routes side questions to a disposable subagent so your main agent's context stays clean through long tasks.

Tips/2026-06-13Intermediate

A Week of Coding Hands-Free with Antigravity 2.0's Live Voice Transcription

Antigravity 2.0 added Gemini Audio-based live transcription right inside the editor. After a week of using it in real work, here's an honest take on how it differs from external dictation tools, how it handles technical terms, and where it actually earns its place.

Tips/2026-05-27Beginner

Fixing Japanese Mojibake (Garbled Text) in Antigravity's Integrated Terminal

When git log, npm errors, or filenames containing Japanese characters turn into gibberish like 譁?ュ怜喧縺 in Antigravity's integrated terminal, the fix usually takes one or two lines per platform. Here are the Windows, macOS, and WSL2 patterns I keep running into.

Tips/2026-05-13Intermediate

4 Steps to Handle Deprecated API Suggestions from Antigravity

A practical 4-step approach to diagnosing, fixing, and preventing deprecated API suggestions from Antigravity — based on real iOS/Android indie development experience since 2014.

Tips/2026-05-10Intermediate

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.

Tips/2026-05-08Intermediate

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.

Tips/2026-05-03Beginner

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.