Best Software Design for Flexibility: How to Avoid Programming Yourself into a Corner By Gerald Jay Sussman

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Software Design for Flexibility: How to Avoid Programming Yourself into a Corner-Gerald Jay Sussman

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Strategies for building large systems that can be easily adapted for new situations with only minor programming modifications.Time pressures encourage programmers to write code that works well for a narrow purpose, with no room to grow. But the best systems are evolvable; they can be adapted for new situations by adding code, rather than changing the existing code. The authors describe techniques they have found effective--over their combined 100-plus years of programming experience--that will help programmers avoid programming themselves into corners.The authors explore ways to enhance flexibility by:    Organizing systems using combinators to compose mix-and-match parts, ranging from small functions to whole arithmetics, with standardized interfaces     Augmenting data with independent annotation layers, such as units of measurement or provenance     Combining independent pieces of partial information using unification or propagation     Separating control structure from problem domain with domain models, rule systems and pattern matching, propagation, and dependency-directed backtracking     Extending the programming language, using dynamically extensible evaluators

Book Software Design for Flexibility: How to Avoid Programming Yourself into a Corner Review :



I'm two chapters in, but I feel comfortable writing a preliminary review, as I've been carefully reading and re-implementing GJS's "scmutils" library for the last 8 months, and many of the ideas in the book first few during the development of that library.It's extremely difficult to build large systems that don't calcify at scale, and that are pleasurable to extend. The first half of the book discusses techniques like combinators, generics and multiple dispatch that have found their way into many mainstream libraries — but the book heads off of my deep end, into propagators and techniques for embedding interpreters and compilers into large systems as a way of breaking out of the ceremonial abstraction boundaries imposed by the original language choice.Guy Steele (in the introduction) calls this a masterclass, and it really feels this way. The ideas the authors present really are in the air here in 2021. The book deserves a companion reference pointing out all of the more familiar open source libraries and languages where these patterns appear.Buy this book! GJS and Hanson nudge you at the end of each section to LEAVE and go try these patterns out in your own code. This is all deeply helpful stuff. I'll update with more insight as I proceed with my more careful read through the rest of the book.
I am writing this preliminary review for what I feel is a service to other programmers for whom this book is repeatedly appearing in their recommended list. I may amend the review at a future time if I feel the inclination.1. This is a book for high-intermediate-to-expert Schemers. Extensive general programming experience and/or functional programming experience in, say, Python or Lua, will not cut it in the least. While the introductory (non-code) sections are inviting, exciting, and well-written, once the code starts you are almost immediately in the deep end of the pool, with sometimes a minimum of explanation.2. The book requires MIT/GNU Scheme and uses at least some of the features particular to that dialect. MIT/GNU Scheme is, effectively, no longer available for Windows. Yes, you may be able to compile it in some form or fashion, but such endeavors are unsupported.3. For Windows, the best replacement I have found is Racket. Racket has extensive documentation (even if the documentation is a bit esoteric looking) and has several books and video tutorials freely available online. Time well-spent would be learning how to use the tracing and debugging facilities, and also what modules will be required to get the closest functionality to MIT/GNU Scheme. For whatever inexplicable reason, Racket is a memory hog, even if you inactivate unneeded modules during startup, but you can force garbage collection by clicking on the memory amount in the lower-right of the Dr. Racket IDE.4. It can be hard to ascertain in the books code when an auxiliary function is being used, or whether it is a built-in of MIT/GNU Scheme. You will need to download the codebase and inspect for yourself.5. The code is available in some type of tar format. I happened to have tar installed on my machine through a regular cmd prompt, but I don't know if it was available natively or from some other package installation.6. Even after all this (many hours of study at this point), I am still not sure I will make it very far through the book. I have made it through the Scheme introduction in the appendix (with much work and research), and have been through some of the very first code examples. Take that how you will.In short, you should know Scheme or a dialect very well, have the ability to install and use said dialect on your machine, and know it well enough so that you can use and or expand it to match the functionality of the MIT/GNU Scheme used in the book.

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