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Modern software teams face a double bind: deliver business value faster while maintaining aging, complex codebases. For executives, delivery speed is the most clear-cut indicator of software quality. When it slows, it’s a sign that quality is eroding beneath the surface. And the result of this slowdown is predictable — rising technical debt, growing cognitive load, and slow, risky upgrade cycles.
Code modernization has always been complex. Now, with AI entering developer workflows, the question arises: Does it enhance modernization or…
