Handling the technical debt is much more of organisational task, rather then an engineering issue. It requires dedicating additional engineering resource to sacrifice velocity or budget. There are two priority tasks to start with: - Avoid technical debt mounting. To remain tech debt at least at the same level, define the product scalability vector and introduce coding standards and code reviews. This should prevent potential debt escalation. - Define tech debt backlog and integrate tech debt management as a part of agile product delivery. Some refactoring will require covering product with tests, and overall updating the delivery approach. In the end of the day, it's all about balancing the go-to-market, technical debt and budget.

It's key for the team to always maintain a good handle on tech debt throughout a product's development. However in the case of a growing product line, prioritizing tech debt helps address that which is directly linked to the product's growth before committing to the scaling effort. Allocate sufficient time in the sprint to diffuse the tech debt properly, ensuring that the system is hardened and resilient enough for product growth. Test the system rigorously prior to new developing new features or products. Perform regular code reviews to ensure that the tech debt is managed correctly as you scale the product suite.

I prioritize addressing technical debt alongside new development by implementing regular code reviews, refactoring outdated systems, and allocating dedicated sprint time for maintenance. I also ensure my team follows scalable architecture principles to prevent future bottlenecks. Balancing innovation with stability helps us sustain growth without compromising long-term performance.

Establish a Technical Debt Register: Document Technical Debt: Create a centralized register to document instances of technical debt, including descriptions, impacts, and potential solutions. This helps prioritize and track technical debt over time. Categorize Debt: Classify technical debt into categories (e.g., code quality, architecture, documentation) to better understand its sources and impacts, making it easier to address systematically. Set Clear Prioritization Criteria: Impact Assessment: Develop criteria for prioritizing technical debt based on its impact on performance, maintainability, and future development. Focus on addressing the most critical debts that hinder progress