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Двофакторна автентифікація (2FA): Глибокий погляд на механізми захисту та алгоритми TOTP і HOTP

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У сучасному цифровому світі традиційних паролів вже недостатньо для забезпечення надійного захисту даних. Кібератаки стають дедалі складнішими, а витоки баз даних — рутинними новинами. Саме тут на арену виходить двофакторна автентифікація (2FA) . У цій статті ми детально розберемо, що таке 2FA, як вона працює на фундаментальному рівні, та зануримося в математику і логіку найпопулярніших алгоритмів генерації кодів: HOTP та TOTP . Що таке двофакторна автентифікація (2FA)? Автентифікація — це процес підтвердження того, що користувач є саме тим, за кого себе видає (наприклад, перевірка правильності введеного пароля). Двофакторна автентифікація (2FA) — це метод безпеки, який вимагає від користувача надати два різні типи доказів (факторів) для отримання доступу до системи або облікового запису. Щоб зрозуміти концепцію 2FA, важливо розрізняти три основні фактори автентифікації : Фактор знання (Те, що ви знаєте): Ваш пароль, PIN-код або відповідь на секретне питання. Фактор володіння (Те, ...
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AI Self-Improvement Skill Launched

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 🧠 AI "Memory Loss" is a major L. Here’s how we’re fixing it. Stop me if you’ve heard this one: you spend 20 minutes debugging an LLM’s hallucination, fix it, and then... three prompts later, the AI is right back to its old nonsense. It doesn’t matter which model you’re rocking; the "Groundhog Day" of coding is a massive drain on your DX (Developer Experience) . We’re done with the infinite loop. It’s time to stop whining about "skill issues" and actually give your AI some permanent upgrades. 🚀 Introducing the @self-improvement Skill We’ve built a tool for Cursor that turns your AI from a forgetful intern into a self-optimizing beast. No more repeating yourself. No more drift. Just pure, persistent evolution. This isn’t just another prompt; it’s an agentic loop designed to bake your specific preferences and fixes directly into your project's DNA. 🛠️ What’s under the hood? The @self-improvement tool automates the "Reflect and Adapt" pha...
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Молитва гравця зі Steam-бібліотекою

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Дай мені спокій прийняти ігри, які вже куплені, мужність не купувати ті, в які я не гратиму, і мудрість відрізнити знижку від ілюзії. Нехай я згадаю, що гра, куплена сьогодні зі знижкою, завтра буде ще дешевшою або так само лежатиме непройденою. Нехай я пам’ятаю, що мій головний дефіцит — не гроші, а час, і що жоден сейл не додасть мені вільного вечора. Допоможи мені відкрити бібліотеку, а не магазин, запустити гру, а не кошик, і пройти бодай одну історію до кінця. Бо справжня радість — не в кількості володінь, а в завершених подорожах. Амінь. 🙏
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The $1 Billion Mouse: Why Disney Just Invested in OpenAI

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The "House of Mouse" has officially entered the AI area, and they aren't just dipping their toes in—they’re diving in headfirst with a billion-dollar splash. On December 11, 2025, The Walt Disney Company announced a landmark $1 billion investment in OpenAI , marking one of the most significant shifts in entertainment history. Here is everything you need to know about why this matters for fans, creators, and the future of storytelling. From "Cease and Desist" to "Strategic Partner" For the past two years, Disney was at the forefront of the battle against AI companies, fighting to protect their intellectual property (IP) from being used in training data. This new deal flips the script. Instead of fighting the technology, Disney is now a major stakeholder in it. Key Highlights of the Deal: The Investment: Disney is investing $1 billion into OpenAI for equity and warrants. The "Sora" Sandbox: Starting in early 2026, OpenAI’s Sora (vid...
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English is becoming the world’s most popular programming language.

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  English might really be the most popular development language in 6 years – but that doesn’t mean we should all become “vibe coders.” It means the devs who win will treat natural language as a first-class interface to code and systems, and practice Prompt Driven Development as a serious engineering discipline, not a party trick. From code-centric to spec-centric We’re already halfway there: most of the dev lifecycle is in English (tickets, docs, PRs, Slack), and LLMs can now both understand that context and generate production-grade code from it. The big shift coming is spec-centric development, where your durable source of truth is the English (or natural language) spec, and implementations are continuously regenerated and improved as models and platforms evolve. In that world, “knowing” a language becomes less about memorizing syntax and more about clearly expressing intent, constraints, and edge cases in natural language. App developers in particular will spend more time design...
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🚀 The Great Tech Evolution: Is AI the End of SaaS, or the Beginning of its Next Chapter?

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The software industry is navigating a storm of modern challenges , but the most fascinating disruption is the rise of AI Agents . This shift is forcing every software company to rethink its strategy. 🌪️ The Modern Software Company Challenges Software companies today aren't just battling competitors; they're fighting complexity, risk, and a talent crunch. Key challenges include: Cybersecurity Threats & Data Privacy: The attack surface is expanding, with 93% of security leaders expecting daily AI-driven attacks this year. Security and data privacy are no longer an afterthought—they must be built in. Managing Complexity: The shift to microservices, container orchestration, and multi-cloud strategies has pushed system complexity to a critical threshold, leading to skyrocketing technical debt . The AI Integration Dilemma: While AI adoption is a top priority for most tech leaders, AI code reliability (45%) and deployment challenges (44%) are major concerns. The code from A...
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Why specify requirements is crucial. AI and development

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The text on the picture is: "A task done according to specification" - I want legs - Ok Specifying requirements is crucial because it ensures clarity, consistency, and alignment between stakeholders and developers. Well-defined requirements help prevent misunderstandings, reduce rework, and improve the efficiency of the development process. Without clear specifications, projects can expectations, and costly errors, ultimately leading to project delays or failure. A detailed set of requirements provides developers with a roadmap to build accurate and functional software that meets user needs. While AI can generate code based on simple prompts, it cannot fully replace developers because it lacks deep problem-solving skills, critical thinking, and domain expertise. AI-generated code often requires refinement, debugging, and integration into larger systems—tasks that demand human oversight. Developers also ensure security, scalability, and maintainability, which AI alone cannot ...
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