Substrate Engineering - Foundations for AI-Assisted Development
Explore the concept of substrate engineering in this thought-provoking conference talk from StaffPlus New York 2024. Delve into the challenges posed by the increasing use of Large Language Models (LLMs) in code generation and the importance of robust foundational frameworks and programming languages. Learn why investing in better programming languages, improved tooling, and frameworks with built-in correctness is crucial in an era of AI-assisted coding. Discover how the limitations of current programming languages, such as C's vulnerability to memory issues, can impact the reliability of LLM-generated code. Gain insights into the need for organizations to prioritize the development of stronger "substrates" to support and enhance the capabilities of AI-powered coding tools. Consider the implications for your own engineering team and how to approach the challenge of creating more secure and reliable foundations for software development in the age of AI.