Extended Reality in Small Scale Business (SMB)
September 19, 2025
Modern software development is fast, collaborative, and iterative. Multiple developers work on the same codebase, often spread across different geographies and time zones. Without an organized way of tracking changes, managing versions, and enabling collaboration, chaos is inevitable. This is where Version Control Systems (VCS) come into play.
Among the various tools available, Git has become the industry standard. It powers projects ranging from personal experiments to massive enterprise systems. But to fully appreciate Git, it’s essential to understand the foundations of version control systems, their types, and how Git’s distributed model transformed the way teams build software.
This article explores Git basics, the evolution of version control systems, their different types, and why Git stands out. We will also look at practical Git workflows, essential commands, and collaborative practices that every development team should know.
A Version Control System (VCS) is software that helps developers manage changes to source code over time. It keeps a detailed history of every modification, allowing teams to:
Track who made changes and when.
Roll back to previous versions if needed.
Collaborate without overwriting each other’s work.
Experiment with new features in isolation.
Think of version control as a time machine for code. It records snapshots of your project, so you can revisit, compare, or merge them when required.
Collaboration at scale – Multiple developers can work simultaneously without overwriting each other’s contributions.
Accountability and transparency – Every change is attributed to an author, with clear timestamps.
Disaster recovery – Code can be restored even if something is accidentally deleted or corrupted.
Experimentation – Developers can branch out to test features without disturbing the main product.
Efficiency – Automated workflows like Continuous Integration and Continuous Deployment (CI/CD) depend on version control.
Without version control, software development becomes prone to errors, duplication, and coordination failures.
The journey of version control mirrors the evolution of software development itself.
In the earliest days, developers used manual methods to track file versions. They often created different folders or appended file names with timestamps (e.g., index_final_v2_revised). This was error-prone and lacked collaboration support.
To improve this, local version control systems like RCS (Revision Control System) emerged in the 1980s. RCS stored patch sets—differences between file versions—on the local machine. While this worked for individual developers, it failed when teams needed to collaborate.
As software projects grew, the need for collaboration became critical. Centralized VCS such as CVS (Concurrent Versions System) and Subversion (SVN) introduced a central server that stored the codebase.
Developers checked out files from this server.
Changes were committed back to the central repository.
Easy to understand and implement.
Provided a single source of truth.
Simplified administration.
A single point of failure – if the server went down, collaboration halted.
Performance bottlenecks for distributed teams.
Offline work was nearly impossible.
The next leap came with Distributed VCS, such as Git and Mercurial. Instead of a single central server, every developer had a full copy of the repository, including its history.
No single point of failure.
Work offline and sync later.
Faster operations (commits, diffs, merges are local).
Easier branching and merging.
This model perfectly suited open-source projects and large enterprises with global teams. Git, created by Linus Torvalds in 2005, became the dominant DVCS and is now the backbone of collaborative coding.
To summarize, version control systems can be classified into three categories:
Local VCS – Stores changes on a single developer’s machine (e.g., RCS).
Centralized VCS (CVCS) – A single repository accessed by all team members (e.g., CVS, SVN, Perforce).
Distributed VCS (DVCS) – Every developer has a complete copy of the repository (e.g., Git, Mercurial).
The shift from centralized to distributed systems represents the most significant advancement in software collaboration.
Git is a distributed version control system designed for speed, flexibility, and collaboration. Unlike centralized systems, Git doesn’t rely on a single server. Instead, every developer’s local copy is a fully functional repository.
Repository (Repo) A storage space where Git tracks project files and their history. Repositories can be local (on your computer) or remote (e.g., GitHub, GitLab).
Commit A snapshot of your project at a given point in time. Each commit has a unique ID (hash) and includes information about the changes made.
Branch A pointer to a commit, allowing developers to work on features or fixes independently without affecting the main project.
Merge The process of combining changes from one branch into another.
Clone Copying a remote repository onto your local system.
Push & Pull
Push sends your local commits to the remote repository.
Pull fetches and integrates changes from the remote repository.
Staging Area (Index) A space where changes are prepared before committing. It allows developers to review and organize work before finalizing.
Learning Git begins with mastering core commands. Here are the most important ones:
git init – Initialize a new Git repository.
git clone
git status – Show changes in your working directory.
git add
git commit -m "message" – Commit staged changes with a message.
git log – View commit history.
git branch – List, create, or delete branches.
git checkout
git merge
git push – Upload changes to a remote repository.
git pull – Fetch and merge changes from a remote repository.
A standard Git workflow follows these steps:
Clone the repository – Start by copying the remote repo.
Create a new branch – Work in isolation on a feature or fix.
Make changes – Edit files as needed.
Stage and commit – Use git add and git commit.
Push changes – Send your work to the remote repository.
Open a pull request (PR) – Request that your changes be reviewed and merged.
Merge and resolve conflicts – Incorporate your changes into the main branch.
This cycle enables continuous collaboration and smooth integration of new features.
Branching is one of Git’s most powerful features. It allows developers to work on new features, bug fixes, or experiments independently.
Feature branches – Used for new functionalities.
Hotfix branches – Used for critical fixes in production.
Release branches – Used for preparing production-ready versions.
Merging combines branches, but conflicts may arise if multiple developers changed the same lines. Git provides tools to resolve these conflicts before finalizing the merge.
Organizations adopt different Git workflows depending on team size and project requirements:
Centralized Workflow – All developers commit directly to the main branch (not recommended for large teams).
Feature Branch Workflow – Each feature is developed in its own branch and merged via pull requests.
Gitflow Workflow – A structured approach with main, develop, feature, release, and hotfix branches.
Forking Workflow – Common in open-source projects, where contributors fork the repository, make changes, and submit pull requests.
While tools like SVN and Mercurial exist, Git dominates due to:
Superior branching and merging capabilities.
Distributed nature, enabling offline work.
Speed and efficiency for large projects.
Massive community support and integration with platforms like GitHub, GitLab, and Bitbucket.
Open-source collaboration – Most open-source projects are hosted on GitHub.
Enterprise development – Organizations use Git for internal projects, integrating with CI/CD pipelines.
Education and research – Git repositories help track academic projects and research work.
Documentation – Technical writers and knowledge teams use Git for versioned documentation.
While powerful, Git has a learning curve:
New users struggle with branching and merging.
Merge conflicts can be intimidating.
Understanding the staging area is confusing for beginners.
Large binary files are not handled efficiently.
However, with training and practice, these challenges are quickly overcome.
On Qodequay’s digital transformation services, Git plays a vital role by enabling agile collaboration, CI/CD integration, and product lifecycle management. Businesses adopting Git-based workflows can accelerate innovation and reduce errors.
Version control is essential for modern software development.
There are three types: Local, Centralized, and Distributed systems.
Git is the most widely used distributed system, offering speed, flexibility, and powerful branching.
Teams benefit from structured Git workflows like Gitflow and feature branches.
Git is not just a developer’s tool, but a cornerstone of collaborative digital transformation.
From the earliest file-tracking methods to today’s powerful distributed systems, version control has shaped the way software is built. Git’s distributed model, efficient branching, and strong community support make it the gold standard.
For organizations, adopting Git is not merely a technical choice, but a strategic step toward better collaboration, resilience, and innovation. By mastering Git basics and understanding version control systems, businesses and developers alike can ensure their projects remain scalable, adaptable, and future-proof.