Uploaded February 2026 | Updated September 2026, 2 weeks ago
Code quality is often seen as the developer's responsibility, but the reality is that many roles influence the quality of code—starting with business decisions. In this talk, I will share a real-world example where simplifying redundant business rules, identified by a business analyst, led to cleaner, more maintainable code. We will dive into how collaboration between developers, business analysts, product managers, and other stakeholders can shape code quality from the ground up.
By understanding how business logic, requirements, and communication impact the codebase, teams can avoid unnecessary complexity and create software that is simpler to maintain and scale. Whether you are a developer, product manager, or analyst, you will leave with a new perspective on how your role plays a part in building high-quality software.
If you have ever thought code quality is solely a developer's problem, this talk will show you how it truly is a shared responsibility.
Code quality is often seen as the developer's responsibility, but the reality is that many roles influence the quality of code—starting with business decisions. In this talk, I will share a real-world example where simplifying redundant business rules, identified by a business analyst, led to cleaner, more maintainable code. We will dive into how collaboration between developers, business analysts, product managers, and other stakeholders can shape code quality from the ground up.
By understanding how business logic, requirements, and communication impact the codebase, teams can avoid unnecessary complexity and create software that is simpler to maintain and scale. Whether you are a developer, product manager, or analyst, you will leave with a new perspective on how your role plays a part in building high-quality software.
If you have ever thought code quality is solely a developer's problem, this talk will show you how it truly is a shared responsibility.
![[VDBUH2026] Magda Miu & Alin Miu - Engineering Leadership in the Age of AI](https://i.ytimg.com/vi/DAgVdXO4NFM/mqdefault.jpg "[VDBUH2026] Magda Miu & Alin Miu - Engineering Leadership in the Age of AI
Engineering management isn’t a promotion, it’s a career shift from solving technical problems to navigating human complexity. In the AI era, this shift becomes even more challenging as leaders must make high-stakes decisions under uncertainty and guide teams through rapid change.
This talk is a condensed “management lab” for senior engineers and new managers, offering practical frameworks for building psychological safety, running effective feedback systems, coaching for autonomy, and making AI-aware decisions.
You will leave with actionable tools, not theory, to help you lead with clarity, confidence, and strategic impact from day one.")
