AI-assisted modernization

Modernize the old system.
Without stopping the business.

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

Old software rarely breaks all at once.
It just gets harder to change, every year.

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

  • Your business depends on software that is slow to change and understood by fewer people every year
  • You run an old CMS or platform, like Drupal, WordPress or custom PHP, that is out of support or close to it
  • You were quoted a full rewrite, or tried one, and a big switch-over feels too risky
  • You want AI to speed up the work, with engineers responsible for every decision

What that looks like

Big changes,
with everything still running.

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

  1. A short assessment first

    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.

  2. Read the old code, write down the rules

    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.

  3. Pin today’s behaviour with tests

    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.

  4. Replace it piece by piece

    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.

  5. Treat the data as the real migration

    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

Do we have to stop the business while you rewrite?
No. The old system keeps running while new parts replace it, one at a time. Each piece goes live on its own, with tests showing it behaves like the old one and a written way to switch back. There is no big switch-over weekend.
Can AI really understand our old code?
It reads code far faster than a person and is good at drafting what each part does, including rules buried deep in it. It can also be wrong with confidence. So nothing it writes is taken as true until an engineer has checked it against how the system really behaves, with tests and with the people who use it. AI speeds up the reading; engineers are responsible for the conclusions.
What happens to our data?
It gets the most care, because it is the part you can’t rebuild. We map what every table and field means, fix what is inconsistent, and move it with scripts tested many times on copies, so the counts and fields match before the real move. Your live data stays untouched until then, and nothing in the old system is deleted until the new one has proven itself.
How does it start, and what does it cost?
With a short assessment of the system: what it does, what it connects to, how risky each part is and which piece to move first. You get it in writing. Scope and price for the modernization are agreed after that, so you know what you are paying for before you commit.
What kinds of systems do you work with?
Old content platforms, custom PHP applications, internal tools, and the databases and integrations around them. We have led Drupal 7 to 11 migrations and consolidated 14 websites into one platform. If yours is something else, tell us what it runs on.
Who owns the new code?
You do, once it is paid for. All IP rights in the code we deliver transfer to you when every agreed payment has been made; until then, EVDevs keeps them. Your existing system stays yours. The work happens in your own repository and on your own accounts, and there is no product of ours underneath it to license or lock you in.

Further reading

Migrating the data is the real migration

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.

Stuck with old software?
Let’s move it, one piece at a time.

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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