DSLs and Metaprogramming using Lisp: Design Domain-Specific Languages and Automate Code Generation with Lisp Macros in Common Lisp, Clojure, and Scheme for AI and Compiler Development by Darryl Jeffery
English | October 16, 2025 | ISBN: N/A | ASIN: B0FWKTQCRM | 150 pages | EPUB | 1.98 Mb
English | October 16, 2025 | ISBN: N/A | ASIN: B0FWKTQCRM | 150 pages | EPUB | 1.98 Mb
The language you program in should never constrain your imagination.
Lisp is not just a programming language; it is a system for expressing ideas with extraordinary precision, treating you as a co-designer rather than a consumer. This book, DSLs and Metaprogramming Using Lisp, is your guide to crafting programs that write programs, a critical skill in an era where AI demands adaptability, composability, and self-rewriting systems. It speaks to developers, language engineers, and AI practitioners who are tired of boilerplate code and ready to invent a syntax tailored to their complex problems.
Stop merely telling a computer what to do and start designing how computers think. This book assumes you know how to program but teaches you how to design a programming language, leveraging Lisp’s timeless design across Common Lisp, Clojure, and Scheme.
What You Will Master:
- Lisp's Core Power (Chapter 1-3): Understand Homoiconicity—Lisp’s unification of code and data—to see how its macros transform and generate code safely at compile time, a technique unmatched for language extension.
- DSL Creation (Chapter 4-6): Implement your own Domain-Specific Languages (DSLs) that replace boilerplate with declarative, readable syntax, focusing on patterns, abstraction, and maintainable design.
- Object System Hacking (Chapter 7): Gain meta-level control by learning the Metaobject Protocol (MOP) in Common Lisp, allowing you to customize object creation, method dispatch, and class behavior itself.
- Advanced Applications (Chapter 8-11): Build AI-driven DSLs for symbolic reasoning, craft declarative pipelines in Clojure's JVM ecosystem, and use Scheme’s hygienic macros to construct custom compilers and interpreters.