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⟐ Editor View/2026-05-27Intermediate

Cultivating Antigravity Walkthroughs as a Regression Replay Memo: A Four-Month Operational Log

A four-month log of repurposing Antigravity Walkthroughs from a one-off explainer into a persistent regression replay memo. Includes the naming scheme, the four-section structure, and the concrete numbers behind a roughly 60 percent drop in duplicate bug reports.

antigravity464walkthroughseditor33regressionindie-development5operational-notes

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In January 2026, I hit the same crash again on a wallpaper app that has been live since 2013 and has crossed 50 million downloads in cumulative installs. The Crashlytics stack trace was an NSRangeException, and as soon as I read the symbolicated frames, I knew I had fixed this exact bug three months earlier. I walked through git log, reproduced the same condition, and applied the same fix. What stayed with me afterwards was not the technical lesson but the regret: where could I have put a note, three months ago, that would have rescued me today?

From that day on, I started using Antigravity's Walkthroughs not as a refactoring narrator, but as a persistent regression replay memo. Four months in, the duplicate bug reports across four apps are down roughly 60 percent compared to the previous period. This is a log of how that practice took shape. It is slightly off the intended use of Walkthroughs, but for an indie developer maintaining four apps, it has held up well.

Hitting the same bug four times taught me what was missing

I have been shipping iOS and Android apps as an indie developer since 2014, monetizing primarily with AdMob, across wallpaper apps, calming apps, and affirmation apps. After this many years, a codebase has visible geological layers: a fix from 2017, another fix from 2020, and the same area being touched again today. I have lost count of the exact number, but over the past four years I have recognized seventeen separate moments where I thought "I have already solved this before."

Commit messages were not the problem. I could find fix: collection view index out of range in the history. The problem was that the reproduction steps were never written anywhere — not in my head, not in GitHub, and not in Crashlytics. The dashboard could tell me "this crash happened on these devices yesterday," but it could not tell me "from which screen, after how many taps, under which app state." I had thought many times about writing UI tests for those flows, but retrofitting UI tests onto UIKit code that had grown for a decade was not realistic. I always ended up promising myself I would "pay attention next release" — and then forgetting.

When I first tried Walkthroughs in Antigravity, what struck me was not the diff display. It was the realization that this was a place where the intent and the order of actions could live, side by side with code. Git remembers diffs. Walkthroughs could remember the sequence of steps that triggered a crash.

Reframing Walkthroughs from a one-off explainer to a long-lived memo

The documentation introduces Walkthroughs as a way for Agent mode to narrate generated code changes in stages. For the first few weeks, that is exactly how I used it. The turning point came when I asked the Agent to add a step to a Walkthrough that contained no code diff at all — only a sequence of UI actions. The Agent did it without complaining. The resulting Walkthrough became a hybrid document: prose steps mixed with code references, structured but not constrained to be about code changes alone.

From that point on, each regression replay memo I produce follows the same four-section structure:

  1. Preconditions — build number, OS version, device, purchase state, cold start vs. warm start.
  2. Reproduction steps — taps, scrolls, rotations, in order, as a numbered list.
  3. Expected vs. actual result — what should happen, and what actually happened.
  4. Fix links — pull request, Crashlytics issue ID, and links to any related memos.

That structure is what saves my future self when I open a memo six months later. Without it, every memo becomes "what was I talking about here again?" and the practice collapses.

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WHAT YOU'LL LEARN
✦How to repurpose Walkthroughs from a one-off demo tool into a durable regression replay memo, with measured results across four wallpaper apps (duplicate bug reports down roughly 60%)
✦The RG-YYYYMM-{app}-{summary} naming scheme and the four-section structure (preconditions, repro steps, expected vs. actual, fix links) that survives a year of solo maintenance
✦A practical handoff between Crashlytics signals and Antigravity Agent search, plus the three-strike rule for deciding when a regression is worth memoizing
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