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AI & Foundations

Version Control

Version control records every change to code and data so history is auditable, mistakes are reversible, and teams can collaborate safely.

A ledger for changes

Version control keeps a complete, timestamped history of a project: who changed what, when, and why. Every state can be recovered, every change reviewed, and every result traced to the exact code that produced it. For engineering software this is not optional.

Core concepts

Kronos motion — control room

Why it underpins reproducibility

A result is only reproducible if you know which version of the code produced it. Recording the commit identifier alongside a simulation output ties the number permanently to its source. Months later, a reviewer can check out that exact state and regenerate the result.

Collaboration without chaos

Branches let several people work in parallel without overwriting each other, and merges combine their work with a record of any conflicts resolved. Code review happens on the proposed change before it enters the shared history, catching errors early.

Data and configuration too

It is not only code that benefits. Configuration files, small datasets, and analysis parameters belong under version control as well, so that the full recipe behind a figure or a design decision is captured, not just the program that consumed it.