Wish your code base could modernize itself? Using AWS Transform, Netsmart modernized 100K+ lines of legacy code, completing projects estimated at 3 months to 1 year in just 2 weeks. The results? ✅ 90% less effort on standard upgrades ✅ 85% less effort on complex migrations ✅ 2M+ lines of code processed across three applications That time back? It goes straight to building for the 165M+ people who depend on Netsmart for community-based care. Read the full story. 👉 https://go.aws/4yivLbD
Legacy modernization often stalls on complex dependencies rather than syntax translation. Automated refactoring tools create real value when they preserve business domain rules while upgrading the runtime baseline.
The real story here isn't the lines of code, it's what the reclaimed time gets redirected toward — 165M+ people relying on Netsmart for community-based care. That's the strongest argument for infrastructure modernization: it's rarely about the tech itself, it's about how much faster teams can get back to building for the people who actually depend on the product.
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Cutting a 1-year legacy migration down to 2 weeks is game-changing, especially when that saved time directly impacts community care! 👏
AI is making legacy code modernization faster than ever. Turning months of work into weeks is a serious productivity boost.
The 85% on complex migrations is the number worth unpacking. In older business applications the hardest part is rarely the code itself. It's the rules nobody remembers are in it: a discount someone added years ago, a field that quietly means two things. For a smaller company modernising a legacy system, the step that pays off is writing down what users actually rely on before any tool rewrites anything. Faster migration makes that list more valuable, not less.
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Going from a 3-month-to-1-year timeline down to 2 weeks isn't just an efficiency gain, it's a fundamentally different pace of shipping. What's most compelling isn't the 90% effort reduction on standard upgrades, but the 85% on complex migrations — that's usually where legacy modernization projects stall for months. AI-assisted code modernization is quickly becoming a real competitive lever, not just a cost-saving story