The podcast introduces code reflection in Java programs, focusing on symbolically modeling them as code models. It prepares for incubation by placing 99% of the code in its own incubating module to encourage experimentation and feedback. The primary goal is to enable interoperability with foreign programming models and machine learning using natural Java language constructs by representing code symbolically. The code model, inspired by MLIR, uses a tree structure comprising operations, bodies, and blocks. Examples illustrate how methods, variables, and control structures like if statements and for loops are modeled, emphasizing the inclusion of location information and explicit conversions. The discussion also touches on modeling patterns and the tooling available for viewing code models.
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