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You can use this page to email Edward W. Barnard about Strategic Domain-Driven Design in CakePHP.
About the Book
I joined the USA Clay Target League’s software team with the intent of becoming transformational within a year. It took three. In the PHP world, three years is far too long! Our software had “hit the wall” and needed a rewrite–or something. We weren’t sure what. We had a patchwork of spreadsheets and PHP scripts that grew along with us. We considered Domain-Driven Design, DDD.
DDD is scary because of the difficult learning curve. It’s not that we are scared to learn; it’s that we rarely have time to learn. Few PHP teams can afford to take on a multi-month or even multi-year experiment.
I learned that Strategic DDD is about communication and collaboration. That’s great, but once you have strategized, communicated, and collaborated, where do you put the code you write? This talk provides you that precise starting point. You’ll be able to immediately begin gaining your own hands- on Strategic DDD experience in your own project.
This talk is aimed at intermediate PHP, senior, and master software developers who’ve had some exposure to DDD but not necessarily any hands-on experience (that’s why we’re here).
This talk was presented at CakeFest, the CakePHP conference, September 29-30, 2022.
About the Author
Edward W. Barnard brings unique implementation expertise from programming Cray supercomputers at the hardware level, debugging systems at classified facilities, and solving critical Y2K infrastructure problems. His 20+ years at Cray Research included hands-on work with assembly language, operating systems, and I/O subsystems. He has published over 100 technical articles, helping developers implement solutions to complex problems. His cross-domain experience, from NSA troubleshooting to Saudi Aramco installations, provides practical insights into applying advanced problem-solving techniques across diverse technical environments.
Edward has transferred his skill of bare-metal programming the Cray I/O Subsystem (with only 131,072 bytes of local memory) to novel ways of managing Large Language Model token context windows, unlocking capabilities not yet taught in AI literature. When a skill dormant for 35 years becomes suddenly relevant again, he calls this The Time Travel Pattern.