Exploring the Fact-based Realities of AI-Assisted Coding

Explore the current state and future implications of AI-assisted coding in this 37-minute conference talk from Devoxx Greece. Delve into the promises and pitfalls of Large Language Models in code generation, based on extensive research analyzing over 100,000 AI refactorings in real-world codebases. Discover why caution and realistic expectations are necessary when embracing this emerging technology. Examine both short-term and long-term impacts of using AI assistants for coding, and learn why equating code-writing speed with productivity can be misleading. Witness real-world demonstrations of revolutionary AI-powered tools that support auto-generated code improvements without the associated risks. Gain insights into how these novel technologies address industry challenges like technical debt and emphasize the growing importance of code comprehension in the AI era. Join Adam Tornhill as he presents fact-based realities and potential future directions of AI-assisted coding.