Explore complex algorithm development and code generation in this 42-minute conference talk from code::dive 2020. Learn how to simplify the process of creating efficient C++ and CUDA code from compact high-level MATLAB code. Discover techniques for integrating hand-coded source code with generated code and using modern tools like Polyspace to find bugs and prove the absence of critical run-time errors without execution. Gain insights from Daniel Aronsson, a senior application engineer at MathWorks specializing in signal processing and communications system design, as he demonstrates how raising the abstraction level can streamline your development process and improve code quality.