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Nov 5, 2026
9 Seconds vs. 514 Seconds: Why Was C++ with Clang About 57 Times Faster Than Python?
The article presents a test on Windows 11 with an Intel Ultra 9 processor, where C++ compiled with Clang completed ten billion loop iterations in 9 seconds, compared with 514 seconds for Python—about 57 times faster. It explains the benefits of native code, compiler optimizations, and fixed-width types, compared with CPython’s interpreter, integer objects, and reference management overhead. The result applies to this specific test; improving the algorithm may matter more than choosing the language. It also stresses documenting the build environment, repeating measurements, checking correctness, and choosing each language according to application requirements.
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Other Technology
Oct 30, 2026
Open Source and the Creator’s Right to Benefit from Their Work
Open source expanded freedom, collaboration, and competition, but it did not guarantee fair rewards for its creators. Many developers maintain valuable software without sustainable income while others profit from it. The answer is to preserve user freedom while funding creators through paid maintenance, shared funding, fair licensing, public investment, and transparent governance. Open code should never become an excuse to expect endless unpaid work from the people who sustain it.
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Other Technology
Oct 25, 2026
True Distinction in the Scales of Eternity: When the Labors of the Striving Are Never Lost
Human history may forget early pioneers and attribute success solely to those who harvest the final result, but no effort is ever lost in the Divine scale. In Islam, diligence and mastery are forms of worship, while results are divine provision. This is highlighted in the Prophet's call to plant a sapling even at the onset of the Last Hour, proving that beneficial work has intrinsic value. True distinction lies not in human applause or immediate results, but in sincere perseverance seen and rewarded by the Most Just.
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Oct 13, 2026
Testing Memory Safety in C++: Should We Rely on AI or Run Sanitizers Ourselves?
AI can help test C++ programs by configuring sanitizers, generating tests, analyzing reports, and suggesting fixes. However, reliable conclusions require actual execution and verifiable evidence. Sanitizers detect specific errors, but cannot prove complete safety or memory efficiency. The strongest approach combines automated testing, AI assistance, developer review, and separate performance profiling.
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Other Technology
Oct 3, 2026
Presenting Advanced Research Findings on Programming Language Design in the Age of Advanced Artificial Intelligence
Three months of hands-on research show how advanced AI tools can help developers build specialized programming languages. Experiments with backend and multimedia languages suggest that companies could create tools tailored to their needs. Clear scope, reusable foundations, human expertise, and rigorous testing remain essential to turn rapid development into reliable, maintainable software systems.
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Other Technology
Sep 30, 2026
Job Seekers in the Software Job Market: Behind the Scenes
Online job applications can bury skilled developers in a crowd of unsuitable resumes, making professional referrals valuable. Drawing on a father's search for work for his son, the article advises programmers to broaden their skills, build strong projects, consider launching a business, and use AI responsibly while keeping control. It urges employers to give capable job seekers a fair opportunity.
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Other Technology
Sep 28, 2026
Microsoft and Open Source: When the Idea of a Single Path Collapsed
Microsoft once dominated software through Windows, Office, and Visual Studio, turning technical strength into platform control. CLR was an enduring engineering success but it never became the gateway for all languages. Open source, Linux, the web, competition, and legal pressure forced Microsoft to embrace cross-platform tools, open .NET, and earn developers’ trust through choice and transparency.
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Other Technology
Sep 28, 2026
When Performance Looks Promising but Trust Falls Short: My Experience Using AI to Build MyLang
While using AI enabled rapid progress and impressive benchmark results when building MyLang, it highlighted a critical lesson: performance alone does not equal compiler correctness or trust.
Because compiler reliability requires verifiable transformations across intermediate representations, memory models, and undefined behavior, the author dismantled the initial codebase to rebuild it from explicit specifications with total human oversight.
AI remains a powerful assistant for drafting code and researching instruction sets—as used in MyLangAssembler—but defining language rules, ensuring safety, and taking responsibility for a system’s foundation must remain human work. Correctness cannot be shortcutted.
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Other Technology
Sep 20, 2026
Has the Age of DLLs Ended?
Dynamic linking once saved scarce memory and storage, but it can now cause missing-file failures, ABI conflicts, security risks, and vendor dependence. Modern applications should be self-contained by default: statically link private libraries when practical, bundle required dynamic libraries, and reserve dynamic linking for secure, well-versioned extensions and system components where necessary!
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