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autogit

by chrisparnin ST2

Automatic checkins to local git repository (Sublime Text)

Details

  • 2013.09.19.07.54.19
  • github.​com
  • github.​com
  • 11 years ago
  • 1 hour ago
  • 11 years ago

Installs

  • Total 650
  • Win 341
  • Mac 203
  • Linux 106
May 20 May 19 May 18 May 17 May 16 May 15 May 14 May 13 May 12 May 11 May 10 May 9 May 8 May 7 May 6 May 5 May 4 May 3 May 2 May 1 Apr 30 Apr 29 Apr 28 Apr 27 Apr 26 Apr 25 Apr 24 Apr 23 Apr 22 Apr 21 Apr 20 Apr 19 Apr 18 Apr 17 Apr 16 Apr 15 Apr 14 Apr 13 Apr 12 Apr 11 Apr 10 Apr 9 Apr 8 Apr 7 Apr 6
Windows 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
Mac 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
Linux 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0

Readme

Source
raw.​githubusercontent.​com

autogit-st

Automatic git checkins from your text editor saves.

autogit will automatically commit a version of a file to a local git repository everytime a change is saved in Sublime. In windows, this is stored in $(APPDATA)\autogit. In linux, /usr/local/autogit. In OSX, ~Library/Application Support/autogit.

Why use autogit?

Some simple reasons:

  • simple insurance against accidental changes or deletions.
  • makes it easier to support smarter undo, backtracking, or exploratory programming.
  • resume a task or track a task by seeing changes at a fine-grain level as they happened.
  • light-weight, stays invisible until you need it.

Some deeper reasons:

  • Better Task Resumption: research suggests that resuming an interrupted task or reviewing a change made by another is made easier when changes can be reviewed in an time-ordered manner (in comparision to a flat commit).

  • Auto-blog: automark is a sister project that can examine a git repository and then automatically generate a markdown file, in a format suitable for publishing a blog post.

  • Personal Analytics: Watts Humphrey has advocated the idea of tracking personal activity for self-improvement, using methods such as the Personal Software Process. Using services, such as codealike or codeivate, you can track things like time spent editing, etc. Tracking the actual changes can take this analysis to another level.

  • Api Analytics: Frequent mistakes are made when programming or using particular apis. This can be analyzed: “You spent 3 hours figuring out how to correctly use pygit2.create_commit(), create github issue?”

Other Editors

See the main auto-git project for other editor support.