Artie Shevchenko
Lecturer at ITMO University, author of Code Health Guardian, and ex-Googler
Artie Shevchenko
Lecturer at ITMO University, author of Code Health Guardian, and ex-Googler
Artie Shevchenko is a software engineer, lecturer, and author with 15 years of diverse industry experience. While at Google, he created the internal "Good Code Reviewer" classes, which earned a 4.5/5 rating based on over 100 reviews and were taken by more than 1,000 Googlers in just one year.
Passionate about sharing his expertise, Artie contributes to the tech community through writing, teaching, and mentoring. He has been teaching the Productive Software Engineering university course for five years and is the author of Code Health Guardian, a recently published book that explores the evolving role of human software engineers in the AI era.
His diverse experience—as a software engineer, engineering manager, and CEO across tech giants like Google (2015–2019) and Canva (2023–), medium-sized companies, and startups—drives his pragmatic and thoughtful approach to code review and software development in general.
Upcoming conference sessions featuring Artie Shevchenko
Code Health Guardian: Rigorous yet Sustainable Human Reviews in the AI Era
While senior engineers have always prioritized code health, the AI era has turned a best practice into a survival requirement. As we shift from manual coding to the role of Code Health Guardians, our primary task becomes reviewing and protecting codebases that must now survive an unprecedented commit velocity.
But is being a Code Health Guardian just a full-time review job now? What happens to our own craft? How do we maintain intellectual control over the codebase without burning out or becoming the new bottleneck?
In this session, you will learn:
- The theory-practice feedback loop: How the cycle between deep understanding and practice has historically driven progress, how generative AI threatens that loop today, and what it means for your codebase.
- Code review strategy: How to address the human review bottleneck without sacrificing rigor in both self-reviews and peer reviews.
- A "coding-first, AI-second" approach: When to leverage it, and why it effectively addresses the compounding issues of cognitive debt and cognitive load in the AI era.
Get conference pass
Code Health Guardian: Rigorous yet Sustainable Human Reviews in the AI Era
While senior engineers have always prioritized code health, the AI era has turned a best practice into a survival requirement. As we shift from manual coding to the role of Code Health Guardians, our primary task becomes reviewing and protecting codebases that must now survive an unprecedented commit velocity.
But is being a Code Health Guardian just a full-time review job now? What happens to our own craft? How do we maintain intellectual control over the codebase without burning out or becoming the new bottleneck?
In this session, you will learn:
- The theory-practice feedback loop: How the cycle between deep understanding and practice has historically driven progress, how generative AI threatens that loop today, and what it means for your codebase.
- Code review strategy: How to address the human review bottleneck without sacrificing rigor in both self-reviews and peer reviews.
- A "coding-first, AI-second" approach: When to leverage it, and why it effectively addresses the compounding issues of cognitive debt and cognitive load in the AI era.
Get conference pass
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