Who here is or has investigated/implemented AI, Generative AI tools in the vein of legacy code refactoring tools? Currently our company is giving consideration to a product Rhino.AI which supposedly can take legacy code and refactor it into a more modern platform(whatever this means). I'm highly skeptical this type of technology. Can it do what it really advertises it can accomplish? Any thoughts would be welcome.

I've been accountable for a very large number of legacy modernisation programmes over the last decades, from vax and host-based batch to statistical model refactoring and everything in between. And what every single one of them has taught me is this: ***don't do it***. See my prior posts on the topic that elaborate more on the why.

Lift and shift, revolution-through-evolution, change management, digital transformation in the guise of legacy modernisation are all risk-avoidance technique that dooms your business process to near-term failure, while augmenting cost. I stand by that statement.
Software is just the malleable (that's why it is soft) part of your business architecture. The hard part, the really really hard part, because it depends on humans, is changing business process and reorganising and extending your capabilities. After all, who can argue that digital transformation and digital-era customers don't demand business process change and new capabilties?
Churning the software is easy, and even before AI, companies were good at it and successful at pitching the merits of avoiding the risk (mainly just the headache) of business transformation. Don't do it. The need to "modernize" your code is simply the proverbial canary in the coalmine of stank business process. No offense intended to you or your company, but I have never ever seen a healthy business process wrapped in legacy software; not once in over 30 years. Don't do it.

Sure, rhino.ai and others do what they say. But how many times do we have to point to the lessons of Kodak: modernized old COBOL back-end, when it was the business processes that were rot. Canon, Sony, Apple could have come out of Kodak. Or Block Buster: a doomed lift-and-shift from heavy centralized batch-inventory control on POS processes depending on foot traffic and late fees. Their legacy modernization actually was designed to protect business process. Netflix could have come out of Blockbuster. In both cases bankruptcy. It's not the exception, it's the rule for which there are no exceptions.

Legacy systems don’t just store old code—they freeze faded features and benefits.
Rhino.ai can unlock them fast, scanning sources, documents, and process maps so teams know exactly what to keep, retire, or redesign before they write a single line.

But coding is less than 20% of a developer’s day, while maintenance still eats up 70 % of the total cost. Code alone isn’t the whole bill.

That’s why code optimisation tools work best with a full-cycle platform like Performalise.com.
Performalise keeps everyone laser-focused on value:

Live AI coaching- highlights next-best actions and removes waste early.
Flow and risk analytics- give leaders realistic forecasts and instant confidence signals.
Transparent dashboards- nurture a growth mindset—future code gets cleaner, customers see faster value, and teams feel proud.

Boost code with Rhino.ai, orchestrate delivery with Performalise.com, and release the full value trapped in your legacy estate.
Let's not just fix the code; let's improve team processes and focus on value.
Otherwise, we might end up churning out less effective solutions—again.