Reducing technical debt with AI-powered SDLC
Learn how AI-powered SDLC helps enterprises reduce technical debt, accelerate delivery, and modernize legacy systems with structured, agentic development workflows
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Technical debt is no longer a backlog problem. In 2025, it became a balance sheet problem. McKinsey research shows that technical debt accounts for roughly 40% of enterprise IT balance sheets, with companies paying an additional 10 to 20% on top of every project cost just to address existing debt. At the same time, Gartner predicts that by 2026, AI will influence 70% of all application design and development processes. The gap between those two realities defines the central challenge for CIOs in 2026: you cannot innovate your way forward if your foundation is actively pulling you back.In this blog, we explore how AI-powered SDLC is fundamentally changing the way enterprises manage and reduce technical debt.
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Excerpt limited to ~120 words for fair-use compliance. The full article is at Kellton.