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The dark art of coding – Demystifying the art and science of writing code — 18 websites ranked by shared content topics, category and on-page relevance.

Each result shows its full tech stack, contacts and AI-policy — not just a name · Browse all sites in Programming Languages →

Domain	Match	Title	Country/Lang	Category	AI files	Contact	AI-protection
cstutors.org ↗	67 match 1 shared topics	Discover the Real Excitement of Computer Science – Alpharetta and Surrounding Areas	United States~ en	programming-languages	robotsllmsaihumans	emailphone	none
beginwithjava.com ↗	67 match 1 shared topics	BeginwithJava - Coding the News	en	programming-languages WordPress	robotsllmsaihumans	emailphone	none
theartofalgorithm.com ↗	66 match 1 shared topics	The Art of Algorithm	en	programming-languages	robotsllmsaihumans	emailphone	none
theartofverification.com ↗	66 match 1 shared topics	Home \| The Art Of Verification	en	programming-languages WordPress	robotsllmsaihumans	emailphone	none
whats-that-function.com ↗	66 match 1 shared topics	What’s That Function? \| Quick and simple coding tutorial videos	en	programming-languages	robotsllmsaihumans	emailphone	none
thealig.com ↗	66 match 1 shared topics	CodeCanvas - Explore the World of Code	en	programming-languages WordPress	robotsllmsaihumans	emailphone	none
startcoding.dev ↗	65 match 1 shared topics	StartCoding — Code Real Games	en	programming-languages	robotsllmsaihumans	emailphone	partial · 8
stevesevigny.com ↗	65 match 1 shared topics	Learn Data Science	en	programming-languages WordPress	robotsllmsaihumans	emailphone	none
stemcsclub.org ↗	65 match 1 shared topics	STEM Computer Science Club - Empowering Future Programmers & Innovators	en	programming-languages	robotsllmsaihumans	emailphone	none
cscprogrammingtutorials.com ↗	65 match 1 shared topics	Computer Science Programming Tutorials \| Free Programming Tutorials, eBooks, Source Codes	en	programming-languages WordPress	robotsllmsaihumans	emailphone	none
elminthespring.org ↗	65 match 1 shared topics	Elm in the Spring Conference 2020	United States~ en	programming-languages	robotsllmsaihumans	emailphone	none
beautifycodes.com ↗	65 match 1 shared topics	BeautifyCodes Smart Coding, Clean Design & Developer Growth	en	programming-languages WordPress WooCommerce	robots llmsaihumans	emailphone	none
bengalluzzo.com ↗	65 match 1 shared topics	Ben Galluzzo \| A little bit of everything that beeps and blinks	en	programming-languages WordPress	robotsllmsaihumans	emailphone	none
mini-lang.org ↗	65 match 1 shared topics	mini lang’s homepage \| The official mini website. A programming language for exploring the concepts of compilers and interpreters in an easy fashion thanks to its simple syntax and semantics.	en	programming-languages	robotsllmsaihumans	emailphone	none
100xsite.com ↗	65 match 1 shared topics	100xSite \| Master Computer Science Visually	en	programming-languages	robotsllmsaihumans	emailphone	partial · 8
csestack.org ↗	64 match 1 shared topics	CSEstack – Computer Science & Programming Portal	en	programming-languages WordPress WooCommerce	robotsllmsaihumans	emailphone	none
5pence.net ↗	64 match 1 shared topics	Home \| 5pence coding mentor blog	en	programming-languages	robotsllmsaihumans	emailphone	none
deltawebstest.com ↗	64 match 1 shared topics	The Importance of Learning Programming	en	programming-languages WordPress	robotsllmsaihumans	emailphone	none

How the match score works

Each match is a 0–100 similarity score — the higher it is, the more two sites resemble one another. It’s computed automatically from our own crawl data (never from what a site says about itself) by combining several independent signals, so a high score means several of them point the same way:

shared topics how many of the same fine‑grained content topics (IAB sub‑categories) both sites cover — the main signal.
same category whether they sit in the same business / industry category.
content & title how closely their titles and page descriptions line up in wording and meaning.

No single signal decides the result — they’re blended together. Treat the score as a way to rank candidates rather than an absolute percentage; the chips on each result show which signals contributed.