Technical Debt: Design, risk and beyond
We talk to experienced architects and technology leaders about the architectural choices they’ve made — the good, the bad, and the costly. From scaling systems to integrating legacy platforms, from misaligned domains to governance gaps, we discuss how architecture impacts technical debt.
You’ll hear honest stories of architectural missteps, what teams learned from them, and how they built systems designed not just to work, but to last.
Technical Debt: Design, risk and beyond
Can AI help identify hidden technical debt better than humans?
Use Left/Right to seek, Home/End to jump to start or end. Hold shift to jump forward or backward.
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 platforms, they share stories of how AI has surfaced invisible hotspots, misread healthy churn as risk, and mapped sprawling dependencies. Together, they examine three critical signals of hidden debt:
- Bug Density: how AI clusters recurring defects and predicts hotspots, versus how humans add testing relevance and guardrails.
- Frequent Changes (Churn): distinguishing between harmful rework and healthy iteration using AI-driven churn analysis, with human context to prevent false alarms.
- Dependency Sprawl: where graph-based models and SBOM scans reveal fragile chains, but human judgment decides when not to "clean up" aggressively.
Maxim and Nikita also reflect on their consulting and startup experience, where AI tools accelerated discovery but human intuition and business context made the final call. The discussion closes with practical guardrails for blending AI insights with architectural judgment, so teams can make technical debt visible, manageable, and tied to real business outcomes.
If you have experimented with AI to uncover hidden debt, or wondered how to balance automation with experience, this episode gives you practical frameworks, war stories, and pitfalls to avoid.
Reach us @ LinkedIn:
https://www.linkedin.com/in/maxim-silaev
https://www.linkedin.com/in/dr-nikita-golovko
