Abstract: Models are often viewed as something you create during design time and use to generate code. What if we turn the approach up-side-down and generate models from code? Humans are very good at recognizing patterns in images, making visualizations a valuable tool, for example to recognize dependencies or data flow. This is particularly true for dynamic, loosely coupled systems that are often less explicit and evolve over time. Once you have generated a model you can take things a step further and run checks and validations against it. Visualizations can also be used to plot out source code metrics over various dimensions to detect potential "hot spots" in the application that may require special attention. This talk applies the concepts of visualization and model generation to a broad range of usage scenarios, such as asynchronous messaging, software components and object-oriented applications.