Glossary Updates12 new terms added to the glossaries · October 2, 2026, 22:44 CEST
AI TechDocKnowledge

Glossary · Automation fundamentals, platforms and components

Git

Also known as: Git version control

German: Git

In software engineering, Git is an open-source distributed version control system that records changes to files as commits, supports branching and merging, and gives every clone a full copy of the history.

  • Automation components

In one sentence

Git is an open-source distributed version control system that records changes as commits and supports branching and merging.

Example

The PLC team exports its project to text files, commits them to a Git repository and reviews every change in a merge request before release.

How it applies

  • Engineering: Git is standard for IT software and increasingly used for PLC code, especially where engineering tools can store projects as text (for example PLCopen XML or structured text). Binary project files limit diff and merge.
  • Change control: Commits, tags and reviewed merges provide traceable history, which supports Configuration control.
  • Documentation: Documentation teams using docs-as-code keep source files in Git next to the software, which lets documentation versions follow software releases. Describe the branching and tagging conventions so readers can match a manual to a release.

Git vs. GitHub

Git is the version control tool. GitHub, GitLab and similar services are hosting platforms built around Git with added features such as issues and pipelines. Features of these platforms change and should be checked in their current documentation.

By knowledge.aitechdoc.world · Published September 26, 2026 · Last reviewed

Source: AI TechDoc Knowledge editorial definition, based on the Git project documentation

Definitions follow the cited standards and specifications. Where a source is a copyrighted publication, such as an ISO, IEC or EN standard, the definition is a close paraphrase, not a verbatim quotation, so as not to infringe copyright. We recommend reading the original publication. The sections “How it applies” are editorial commentary by AI TechDoc Knowledge and are not part of any standard.

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