"Tech debt has long been an ever-expanding tax on technology implementations, and it appears that the problem is unlikely to go away anytime soon -- even if AI takes on some of the heavy lifting in application development and deployment. In fact, AI may make things worse. A new study, published jointly by HFS Research and Unqork, finds that 43% of IT managers fear AI will create new technical debt -- even as 84% expect cost reductions from AI adoption."
"What is technical debt? This occurs when technology teams, usually under pressure, apply quick fixes or shortcuts to software issues, versus more deliberate projects. The result is a need for more costly rework and maintenance in the future to eventually unravel the initial shortcuts."
""Technical debt exists at many different levels of the technology stack," Gary Hoberman, CEO of Unqork, told ZDNET. "You can have the best 10X engineer or the best AI model writing the most beautiful, efficient code ever seen, but that code could still be running on runtimes that are themselves filled with techn"
A September survey of 123 executives and managers from large companies found mixed expectations about AI and technical debt. Forty-three percent fear AI will create new technical debt while 84% expect cost reductions and at least 80% expect productivity gains. Fifty-five percent anticipate AI will help reduce technical debt. Major risks cited include security vulnerabilities (59%), legacy integration complexity (50%), and loss of visibility (42%). Technical debt results from quick fixes and shortcuts that require costly rework later. Code improvements can still run on unstable or outdated runtimes, meaning platform-level debt can persist even with high-quality code.
Read at ZDNET
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