Is your old software ready to be rewritten?
For anyone running old software the business depends on: ten questions that show how ready it is to be modernized, and what to sort out first.
AI-assisted modernization
Your business runs on software nobody wants to touch: an old CMS, a PHP platform, an internal tool only one person understands. A rewrite from scratch means months of waiting and one risky switch-over weekend. We do it another way. We find out what the system really does, including the rules nobody wrote down, pin that behaviour with tests, then replace it piece by piece while it keeps running. AI speeds up reading the old code, documenting it and writing the tests and the new code. Engineers decide the architecture and check every step.
The cost of waiting
Every change takes longer, because nobody is sure what else it will break.
The rules that run the business live in code, and the people who wrote it have moved on.
The versions it runs on fall out of support: no more security fixes, hosting that won’t run it, integrations that stop working.
This is for you if
What that looks like
14 → 1
Websites consolidated into one platform, with less code than before and every site live throughout
Read the case study →3,050 pages
Compared, old against new, before a rebuilt site launched. None got worse, and phone load time dropped to 1.9 s
Read the case study →900+
Automated tests, from zero, in under nine weeks, with a gate that blocks any release when one fails
Read the case study →5 stages
The same method behind every project, from the real data to a system in production
Read the case study →How it runs
What the system does, who uses it, what it connects to and where it hurts. You get a written plan in plain words: what to keep, what to replace, and which piece to move first.
AI reads the whole codebase quickly and drafts what each part does, including the business rules nobody wrote down. Engineers check every rule against how the system really behaves, and with the people who use it.
Before anything changes, automated tests record what the system does now. The new version has to pass them too, so any difference is a decision, not a surprise.
New parts run beside the old ones and take over one at a time, each with its own checks and a written way back. The old system keeps working until the last piece has moved, then it is retired.
Because it usually is. Every table and field is mapped and cleaned, and the move runs as a script, many times, on fresh copies, comparing counts and fields each time, until the final run is a formality.
Questions owners ask
For anyone running old software the business depends on: ten questions that show how ready it is to be modernized, and what to sort out first.
Further reading
Old software is not a problem just because it is old. The signs it is time to act, the signs it is fine as it is, the middle paths between leaving it and rewriting it, and a checklist to decide.
A full rewrite of old software asks the business to stop and wait. The strangler fig pattern replaces a legacy system one capability at a time, with old and new running side by side and a way back at every step.
Before you refactor or replace an old system, record what it actually does today, odd parts included. How characterization tests, golden masters and captured real traffic give you a safety net, and how AI speeds up writing them.
New code can be rewritten as often as needed. Years of business records cannot. How to map, clean, rehearse, reconcile and cut over the data when you replace an old system, with a way back and the old records still readable.
Tell us what the system does, what it runs on and what worries you about changing it. We will tell you which piece we would move first, and how.
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