Legacy

Modernizing legacy without stopping the business.

The system that is live keeps serving while the new one is built beside it.

The method

Read before writing.

The people who wrote the code have left and the documentation has aged. What still holds of the business rules is in the system that runs today.

01 Read
All the existing code and all the existing documentation enter the knowledge base before a single new line is written.
02 Build beside it
The new system is born AI-native, typed and instrumented.
03 Check
The rules taken out of the old system are checked against its behaviour, not against the documentation.
04 Switch
The replacement is planned with your team and happens in parts. Each part goes in only after it has been checked.

The line does not leave after the switch. Sustainment is a station.

The deployment

A subscription platform with eight years in production.

Deployment 01
Dr. Consulta · subscription platform
Eight years in production · Challenge B, refactor legacy

InheritedOn the line
A featuretwo weeksup to three days[one representative feature, not a measurement of the whole backlog]
A text changea developera product manager
Maintenanceby handsupervising the AI
Infrastructure costwhat the platform cost−75%
The third gain

Speed and cost show up first. Correctness decides whether they are worth anything.

A refactor cannot change the behaviour of the old system.

Where to start

Not with the whole system.

The line comes in through one part that can be checked end to end, usually the part that eats the most maintenance today. That part is refactored and put into production before the next one begins.

What you keep

The system stays yours.

Why the line is not a dark factory

Request a deployment

Bring the line inside.

Pick what the line takes over first: the new project that is stuck, or the old system that has become a burden. The deployment is built alongside your team.

See how the line works

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