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Legacy Modernization

The riskiest thing about old software is that nobody remembers why it does what it does.

Every long-running business has one: an application that still works, that nobody wants to touch, running on a framework that stopped receiving security updates years ago. It usually encodes a decade of hard-won business rules that exist nowhere else: not in documentation, not in anyone's head, only in the code.

Our first job is not to rewrite it. It is to understand it. We document what the system actually does, including the parts that surprise everyone, and only then plan a migration that preserves the logic worth keeping and retires the rest deliberately.

What You Get

✔ Codebase audit and dependency risk assessment
✔ Written documentation of existing business logic
✔ A staged migration plan with rollback at each step
✔ Data migration with reconciliation and verification
✔ Incremental replacement rather than a single cutover
✔ Parallel running so you can compare old and new output

When This Is the Right Fit

If any of these sound familiar, it is worth a conversation.

  1. 01

    The framework or runtime no longer receives security updates

  2. 02

    The original developer is gone and left no documentation

  3. 03

    It only runs on one machine that nobody dares reboot

  4. 04

    You cannot hire anyone who knows the technology it uses

Common Questions

Do you rewrite from scratch or migrate incrementally?

Incrementally, wherever it is possible. A full rewrite means a long stretch with nothing to show and a single terrifying cutover day. Replacing one module at a time, with the old and new systems running side by side, means you get value early and can stop or reverse at any point.

What if the business rules are not documented anywhere?

That is the normal case, and it is the first thing we fix. We read the code, trace the data, and interview the people who use it, then write down what the system actually does. That document is a deliverable in its own right and is valuable even if you never go ahead with the migration.

How do you avoid breaking things nobody knew were load-bearing?

Parallel running. The new system processes the same inputs as the old one and we compare outputs until they agree, including on the edge cases. Discrepancies surface the undocumented behavior, and then you get to decide whether each one was a feature or a bug.

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Have a project in mind?

Tell us what the software needs to do and who has to use it. We will come back with a realistic scope, a timeline, and a price.

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