Topic
The practice of assessing, upgrading, or replacing decades-old enterprise IT systems to cut costs, reduce risk, and meet new technical demands.
Red Hat's post puts generative AI's productivity gain on the hardest enterprise codebases at 0-10 percent, then offers a pipeline that grounds the model in migration rules a customer's own team has to write and curate.
Reality
An Entrepreneur columnist argues AI has stripped the technical effort out of switching vendors. The scoping is now cheap enough to be worth doing, though nothing in the record yet shows a core migration finishing faster.
Reality
A UniCredit data executive argues agents are capped by the data foundations they reason over, the same bottleneck banks were forced to pay for after 2008. The budget implication is unglamorous.
Reality
A dev.to walkthrough routes one URL path to Lambda at the load balancer, leaving the EC2 legacy app and its pipeline alone. The trade is that your routing config now holds the secret.
Reality
A Forbes column argues CIOs now manage a legacy stack, an AI-infused stack and an agentic one. The trap is a single set of policies, contracts and cost expectations across all three.
Reality
Stephen Cresswell rebuilt a 2012 test library in about a day with Claude Code. The transferable part is the commit discipline: a phased issue, formatting kept apart from behavior, tests off limits.
Reality
Peter Bendor-Samuel now argues AI is splitting enterprise technology into two markets rather than collapsing one. If he is right, vendor and services budgets bifurcate instead of shrinking.
Reality