
To understand why modern version control systems are essential, it is important first to analyze the limitations of traditional development workflows. Consider the following scenario.
Assume there is a single developer (Developer 1) working on an LMS (Learning Management System) project. Initially, the project is small, and all development is handled by one person. At this stage, development is smooth and manageable.
As the project grows, new features are added, complexity increases, and delivery timelines become tighter. To speed up development and handle multiple features simultaneously, Developer 2 joins the project.
At this point, the project transitions from solo development to team collaboration.
Developer 1 already has a working project structure. To allow Developer 2 to add new features, the entire codebase needs to be shared. In a traditional setup, this is usually done by:
Compressing the project files and sharing them via email or cloud storage
Copying the project onto a pen drive and transferring it manually (assume we choose this method because we are on the same floor, and it is easy, just copy, and we are done)
Developer 2 then modifies the code, implements new features, and sends the updated files back using the same method.
Although this approach appears functional at first, it introduces several serious problems.
Over time, multiple versions of the same project begin to exist.
For example:
Developer 1 implements Feature A and Feature B
Developer 2 implements Feature C and returns the code
File or folder names are changed to indicate progress, such as:
project_updated
project_final
project_final_v2
project_almost_final
As development continues, it becomes increasingly difficult to determine:
Which version is the latest
Which version is stable
Which features exist in which version
This leads to confusion, duplication of work, and potential data loss.
When Developer 2 returns the updated code, Developer 1 has no clear insight into:
What files were modified
What new logic was introduced
Which existing code was altered or removed
Similarly, Developer 2 has no visibility into the changes made by Developer 1 afterward.
As a result, both developers lose control over the codebase, making collaboration risky and unreliable.
Suppose Developer 2 implements a feature and returns the code. Later, Developer 1 discovers a bug in a previously implemented feature.
Developer 1 must request the full codebase again, apply the fix, and send it back. However:
Developer 2 does not know what the bug was
Developer 2 does not know how it was resolved
There is no record of the fix or affected files
Without change history or documentation, tracking bugs and fixes becomes extremely difficult.
Traditional workflows also prevent parallel development.
If Developer 1 has the latest code, Developer 2 must wait
If Developer 2 is implementing a feature, Developer 1 may have to remain idle

This sequential workflow results in:
Increased development time
Reduced productivity
Inefficient use of developer resources
Modern software development requires developers to work simultaneously without blocking each other, which this approach fails to support.
Now that we clearly understand the problems with the traditional approach, let’s see how a version control system actually solves them.
A version control system provides a powerful tracking mechanism.
It keeps track of every change made in the codebase.
For each change, the system stores metadata, such as:
Who made the change (which developer)
What files were changed
When the change was made
So in a team environment, every developer knows who changed what and why. This completely removes confusion and loss of control over the code.
Version control systems maintain a proper history of changes.
If a feature is added, it is recorded.
If a bug is found and later fixed, that fix is also recorded in the history.
This means:
Nothing is lost
Every update is documented automatically
The overall control of the project always stays in the hands of the developers
At any time, developers can review past changes and understand how the project evolved.
During development, problems are common. Sometimes a new change introduces bugs or breaks existing functionality.
With a version control system:
Developers can roll back to any previous stable version
There is no need to restore files or guess what went wrong manually
This makes development safer and more confident, because even if something breaks, the project can quickly return to a working state.
A version control system:
Tracks every change
Maintains full history
Shows who did what
Allows safe experimentation
Makes collaboration smooth and parallel
That is why version control is not optional—it is a core requirement for modern software development.
Git – Most popular distributed version control system and industry standard
SVN (Subversion) – Centralized system, mainly used in legacy projects
Mercurial – A distributed system, less popular than Git
Perforce – Used in large enterprise and game development projects
CVS – Old and mostly obsolete version control system
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