This talk introduces FuzzyLogic.jl, a library for fuzzy inference, giving a tour of its features and design principles. Write your fuzzy model with an expressive Julia-like DSL or read your existing model from common formats, tune and explore with available algorithms and visualization tools, and generate efficient stand-alone Julia or C++ code for your final model. Finally, the talk will show how to use the library to solve engineering problems in control theory and image processing.