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ARTICLE · 10 OCTOBER 2024

Can AI Solve The Rising Costs Of Technical Debt?

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Software companies are eager to jump on the AI bandwagon, but navigating the maze of options is complex.

United KingdomTechnology
Maneel Grover
Maneel Grover
Kanishk Raghuvanshi
Kanishk Raghuvanshi
Eitan Schori
Eitan Schori
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Software companies are eager to jump on the AI bandwagon, but navigating the maze of options is complex. An immediate opportunity lies in deploying AI-based tools to improve internal processes. Focusing on AI-driven productivity advancements helps companies to boost the efficiency and effectiveness of their teams while narrowing the scope of AI use cases. Such an approach might be especially helpful in reducing technical debt.

R&D teams create tech debt when they make coding or design decisions to expedite product delivery, knowing the code will later need to be updated. On average, engineers spend one-third of their time addressing technical debt, a figure which rises based on the age and quality of the code. Tech debt is similar to financial debt in this manner—it accrues interest the longer developers wait to fix it. And doing so isn't cheap.

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