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Code Quality in the Age of AI: Why Great Code Isn't Enough 14 мин 
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2026 14 мин
Learn more about Code Quality here → https://ibm.biz/~ypVg7mn8p AI can generate clean, working code in seconds. But software quality was never just about writing code. Meenakshi Kodati explores how AI is changing software engineering, why engineering judgment is becoming more valuable, and how testing, governance, architecture, and system-level thinking are redefining code quality. Learn why the future of software engineering isn't about generating better code—it's about making better decisions. 00:00 - How AI Is Transforming Software Engineering 01:07 - Why Developers Aren't Worried About AI Writing Code 01:56 - What Does Code Quality Mean in the Age of AI? 03:10 - Why Engineering Judgment Matters More Than Implementation 04:33 - Coding vs. Engineering: Making Better Technical Decisions 06:02 - Why System-Level Thinking Is the New Code Review 07:20 - How Do You Trust AI-Generated Code? 08:34 - Building Guardrails, Testing, and Governance for AI 10:28 - Why Software Quality Must Become Continuous 11:57 - The Most Valuable Developer Skill in the AI Era AI news moves fast. Sign up for a monthly newsletter for AI updates from IBM → https://ibm.biz/~D77K1IgGS AI was used in the creation of the transcript and metadata for this video. #codequality #aicoding #softwareengineering #ai
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