Session
Clean Code in the Age of AI
AI-generated code can save time—but it often ignores clean coding principles. This talk explores how to review, refactor, and enforce clean code standards when AI is part of your workflow.
Key Topics Covered:
• Common AI code smells
• Applying clean code principles to AI output
• Automated code quality checks
• Educating teams on AI review best practices
Prerequisites: Familiarity with clean code concepts
Format: Live coding
Takeaways:
• Maintain code quality in AI-heavy workflows
• Recognize and fix AI-introduced issues
• Keep maintainability high over time
Johan Smarius
Microsoft MVP on .NET and DevOps, MCT, Coach/Trainer @ JMAC Software Solutions & Lead Microsoft Development Consultant @ Bergler
Tilburg, The Netherlands
Links
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