Page 267 - Maxim Mironjuk
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Maxim Mironjuk
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May 02, 2025
A single conditional type checks a condition once. Recursive conditional types apply the same condition to themselves again and again until a base case is reached, turning nested objects, tuples, and strings into fully transformed types at compile time. Once you know the mechanics, the depth limit, and the tail recursion pattern, you can write DeepReadonly, tuple reverse, or recursive template literal types confidently on your own.
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Maxim Mironjuk
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May 02, 2025
The slow query log is only the first step, because a raw file with thousands of lines does not deliver insight on its own. This article shows how to choose long_query_time sensibly, how pt-query-digest and mysqldumpslow aggregate the data, and how to turn that into a solid prioritization for the next round of optimizations.
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Maxim Mironjuk
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May 01, 2025
Plain HTTPS trusts the entire operating system trust store, and that is exactly the gap rogue CAs, corporate proxies and tools like mitmproxy exploit. SSL pinning locks a certificate or public key directly into the app and turns intercepted traffic into a dead end for attackers, once certificate pinning and public key pinning are implemented cleanly for iOS and Android, tested properly and backed by a rollover strategy.
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Maxim Mironjuk
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May 01, 2025
Not every compatibility module deserves a place in production. Anyone who enables Luma fallbacks blindly instead of auditing them deliberately pays with load time, CSP violations, and unnecessary maintenance effort for rendering paths that no customer ever sees.
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Maxim Mironjuk
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May 01, 2025
A failed end-to-end test typically returns only an error message and a stack trace at the test framework level, revealing nothing about what actually happened in the backend during that particular test run. Test observability closes exactly this gap by correlating distributed tracing, structured logs, and metrics with the given test run, so a single glance at a red test immediately reveals whether the cause lies in the frontend, in a specific backend request, or in a third-party integration, instead of having to painstakingly reconstruct manually which service was involved at which point in time.
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Maxim Mironjuk
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May 01, 2025
The order success page is the moment with the highest attention throughout the entire checkout: the customer has just made a purchase but is still on the page. Anyone who uses this moment for conversion tracking, cross-sell, and customer retention, without Knockout.js, jQuery, or UI components, but with clean Hyvä patterns built from ViewModels, layout XML, and Alpine.js, gets noticeably more out of the order success page than with the standard Luma output.
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Maxim Mironjuk
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May 01, 2025
A missing, hidden, or outdated legal notice is one of the most common reasons for a formal warning letter in German online retail, and it affects small side-business shops just as much as established companies. This article explains in plain language which details a legal notice must contain, what changed with the new Digital Services Act, and how to reliably avoid common warning letter traps.
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Maxim Mironjuk
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May 01, 2025
Vague prompts produce vague results, no matter how capable the model is. Giving Claude precise format instructions, real project context instead of silent assumptions about codebase conventions, and iterative refinement instead of a single perfect prompt noticeably improves the usefulness, review-readiness, and repeatability of its answers in daily Magento and Hyva development work.
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Maxim Mironjuk
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April 30, 2025
Bash gives you three different ways to do math, $(( )), let, and (( )), that look interchangeable at first glance but differ in return value, exit status, and error behavior. Anyone who does not know the integer limits of 64-bit systems, the lack of floating point, and the typical traps around comparison operators ends up with scripts that suddenly produce wrong results, or abort entirely, for certain inputs.
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Maxim Mironjuk
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April 30, 2025
Anyone who deep copies an entire object or array on every state update wastes memory and CPU time. Structural sharing solves this problem: on update, a persistent data structure rebuilds only the changed path and shares every unchanged subtree with the old version instead of duplicating it.
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