David Sankel
Adobe Principal Scientist, member of the International C++ Standards Committee
David Sankel is a Principal Scientist at Adobe and an active member of the C++ Standardization Committee. His experience spans microservice architectures, CAD/CAM, computer graphics, visual programming languages, web applications, computer vision, and cryptography. He is a frequent speaker at C++ conferences and specializes in large-scale software engineering and advanced C++ topics. David’s interests include dependently typed languages, semantic domains, EDSLs, and functional programming. He is the project editor of the C++ Reflection TS, Executive Director of the Boost Foundation, and an author of several C++ proposals including pattern matching and language variants.
Topic
Beyond the Hype: Mitigating the Real Risks of AI-Generated Code
AI coding tools are evolving at a breakneck pace. How do you build a stable developer workflow when the "best" tool changes weekly? And what non-obvious risks are you adopting along with the productivity gains? This session moves past the hype to deliver a practical framework for the "Day 2" problems of AI integration. We'll go beyond "it makes mistakes" and dissect the real-world issues we've seen: 1、The "plausible, not correct" hallucinations that slip past reviewers. 2、The long-term technical debt from AI-generated code bloat and maintainability issues. 3、The most critical hidden cost: the erosion of developer learning and expertise. You won't just leave with a list of problems; you'll get a checklist of solutions. We'll cover concrete mitigation strategies, including: how to use "pilot programs" and internal knowledge-sharing to manage the tooling chaos; a new code review mindset ("be curious, not trusting") essential for catching hallucinations; and a strategic framework for deciding when to let AI "vibe-code" versus when to protect your team's essential learning. You will leave this session with a healthy dose of realism and an actionable plan for harnessing AI's power safely and sustainably.
