App Audit by Last Modified Timestamps | Generated by AI
Here’s how I audited your /Applications:
Method: 3-layer scan
-
List all apps —
ls -1 /Applications/*.app→ 74 apps, 33GB total -
Size analysis —
du -sh /Applications/*.app | sort -rh→ ranked by disk usage, biggest offenders first (Xcode 4.7GB, IntelliJ 3.9GB, Android Studio 2.5GB, Docker 1.7GB) -
Last-modified timestamps —
stat -f "%Sm"on each .app bundle → this is the key signal. It reflects last install/update, which correlates strongly with actual usage. An app untouched since 2023 is almost certainly dead.
Classification logic:
- SAFE DELETE = last touched 1+ year ago AND (redundant with another app OR one-time-use tool OR irrelevant to your AI engineering work)
- CONSIDER = duplicates of things you already have (3 browsers, 2 FTP clients, etc.)
- KEEP = touched in last month, clearly active
- HOLD = large apps where I need your input on whether the use case still exists
The timestamps don’t lie — iTerm from Jan 2023 means you haven’t touched it since Ghostty replaced it. TencentMeeting from Dec 2023 means no meetings there in 2.5 years. That’s stronger evidence than any heuristic.