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In this episode of Technical Debt: Design, Risk and Beyond, hosts Maxim Silaev and Nikita Golovko explore whether artificial intelligence can really spot technical debt more effectively than human architects and engineers. Drawing on real-world projects: from investor due diligence to scaling SaaS …
As engineering teams grow, many organizations expect velocity to increase, but often the opposite happens. In this episode, we will explore the invisible costs of scaling headcount without evolving your system architecture. From onboarding delays to tangled communication paths and team overlap, we …
We often talk about “paying off technical debt” as if it were a one-time event, but is that even possible? In this episode, Maxim Silaev and Nikita Golovko dive deep into what it truly means to address technical debt and why the language of "paying off" can be misleading. Through personal…
Legacy doesn’t have to mean “bad.” In this episode of Technical Debt: Design, Risk and Beyond, hosts Maxim Silaev and Nikita Golovko discuss and challenge the myths around legacy code. They explore when legacy systems are a liability, when they’re a quiet strength, and why fear often drives decisio…
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