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Computer Science and Programming

Computer Science and Programming

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Channel specialized for advanced topics of: * Artificial intelligence, * Machine Learning, * Deep Learning, * Computer Vision, * Data Science * Python Admin: @otchebuch Memes: @memes_programming Ads: @Source_Ads, https://telega.io/c/computer_science

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📈 Аналитический обзор Telegram-канала Computer Science and Programming

Канал Computer Science and Programming (@computer_science_and_programming) языкового сегмента Английский является активным участником. Сейчас сообщество объединяет 141 184 подписчиков, занимая 817 место в категории Технологии и приложения и 86 место в регионе Италия.

📊 Показатели аудитории и динамика

С момента создания невідомо проект демонстрирует стремительный рост, собрав аудиторию из 141 184 подписчиков.

Согласно последним данным от 02 августа, 2026, канал показывает стабильную активность. За последние 30 дней изменение числа участников составило -746, а за последние 24 часа — -26, при этом общий охват остаётся высоким.

  • Статус верификации: Не верифицирован
  • Уровень вовлечённости (ER): Средний показатель вовлечённости аудитории составляет 8.52%. В первые 24 часа после публикации контент обычно набирает 2.07% реакций от общего числа подписчиков.
  • Охват публикаций: В среднем каждый пост получает 12 033 просмотров. В течение первых суток публикация набирает 2 922 просмотров.
  • Реакции и взаимодействия: Аудитория активно поддерживает контент: среднее количество реакций на один пост — 18.
  • Тематические интересы: Контент сосредоточен на ключевых темах, таких как sellerflash, github, developer, pricing, waybienad.

📝 Описание и контентная политика

Автор описывает ресурс как площадку для выражения субъективного мнения:
Channel specialized for advanced topics of: * Artificial intelligence, * Machine Learning, * Deep Learning, * Computer Vision, * Data Science * Python Admin: @otchebuch Memes: @memes_programming Ads: @Source_Ads, https://telega.io/c/computer_sc...

Благодаря высокой частоте обновлений (последние данные получены 03 августа, 2026) канал поддерживает актуальность и высокий уровень охвата публикаций. Аналитика показывает, что аудитория активно взаимодействует с контентом, что делает его важной точкой влияния в категории Технологии и приложения.

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Substack writers, you need a website Writers who rely on Substack as their primary digital home are making a strategic mistak
Substack writers, you need a website
Writers who rely on Substack as their primary digital home are making a strategic mistake. Substack and similar platforms are distribution tools, not permanent homes — when you build on someone else's platform, you're a tenant, not an owner. The POSSE model (Publish on your Own Site, Syndicate Elsewhere) offers a better approach: publish first to a domain you own and control, then use platforms like Substack purely as distribution channels. John Scalzi's 28-year independent blog is cited as a model of digital sovereignty. Platform algorithms favor dominant narratives, terms can change overnight, and content can be lost — owning your domain protects your long-term visibility and creative independence.

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The Disappearing Senior: AI and Entry Level Jobs AI is eliminating entry-level developer work, but there's a less-discussed s
The Disappearing Senior: AI and Entry Level Jobs AI is eliminating entry-level developer work, but there's a less-discussed second effect: senior engineers are quietly losing their skills by only approving AI-generated output rather than doing the work themselves. The 'reasoning muscle' atrophies when judgment is never exercised. Meanwhile, no new seniors are being produced because the junior work that used to forge them is gone. Practical countermeasures include deliberately doing one thing the hard way each week, asking AI to defend its choices rather than just accepting answers, keeping a log of AI errors, and giving juniors the 'boring' work instead of offloading it to machines. No systemic fix is coming — individual engineers must maintain their own skills deliberately.
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CVE-2026-59328: Cross-Site Scripting in Eclipse Spring Boot Starter Wizard Dependency Tooltips A CVE advisory (CVE-2026-59328
CVE-2026-59328: Cross-Site Scripting in Eclipse Spring Boot Starter Wizard Dependency Tooltips A CVE advisory (CVE-2026-59328) has been published for a Cross-Site Scripting (XSS) vulnerability found in the Eclipse Spring Boot Starter Wizard's dependency tooltips. The advisory is hosted on spring.io and relates to the Eclipse IDE plugin used for Spring Boot project setup.
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Announcing DuckDB 1.5.5 DuckDB 1.5.5 has been released as the sixth patch in the 1.5 (Variegata) line. The release includes b
Announcing DuckDB 1.5.5 DuckDB 1.5.5 has been released as the sixth patch in the 1.5 (Variegata) line. The release includes bugfixes, performance improvements, correctness fixes, crash and internal error resolutions, and security patches. Full release notes are available on GitHub, with v2.0.0 expected in the
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Hello everyone some of you may not know but now we started to expand to WhatsApp and we are inviting you to join our WhatsApp channel link here 👇👇👇👇👇 WhatsApp Computer Science and Technology We welcome you all to be part of this family
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How I Learned to Structure React Projects Around Change, Not Folders Technical folder structures (components, hooks, services
How I Learned to Structure React Projects Around Change, Not Folders Technical folder structures (components, hooks, services, utils) make React repos easy to browse but hard to change, because a single feature's logic is scattered across unrelated directories. The key insight is organizing code around ownership of change rather than file type. This means colocating a feature's components, state, validation, API calls, and business rules under one feature directory. State placement should reflect lifecycle and source of truth, not convenience. Business rules belong near the feature that owns them, not in generic utils. Shared code should only be extracted when callers truly share the same meaning and change together. Finally, dependency direction matters: features should depend on stable shared primitives, not each other's internals. The real test of an architecture is how confidently a developer can locate the owner of the next change.
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Locally great, globally drifting An evaluation of AI-generated frontend code in a real product reveals a recurring pattern: A
Locally great, globally drifting An evaluation of AI-generated frontend code in a real product reveals a recurring pattern: AI performs well in isolated, localized contexts but struggles to maintain consistency at the system level. The post argues that AI should be used as a candidate generator and validator rather than as the final decision-maker in code review.
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Hello everyone some of you may not know but now we started to expand to WhatsApp and we are inviting you to join our WhatsApp channel link here 👇👇👇👇👇 WhatsApp Computer Science and Technology We welcome you all to be part of this family
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The Joy of Old-School Coding After a Stupid Mistake A short personal reflection on the frustration and satisfaction of debugg
The Joy of Old-School Coding After a Stupid Mistake A short personal reflection on the frustration and satisfaction of debugging without AI assistance. The author made a mistake using a collection to map a one-to-one relationship in Entity Framework Core, which only integration tests caught. After resisting the urge to use Copilot, they found the fix themselves — a one-line change — and reflect on the emotional cycle of coding: frustration followed by joy.
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Announcing .NET Modernization for Beginners Microsoft has released a free, open-source, hands-on course called '.NET Moderniz
Announcing .NET Modernization for Beginners Microsoft has released a free, open-source, hands-on course called '.NET Modernization for Beginners' to help developers upgrade legacy ASP.NET applications to .NET 10 using the GitHub Copilot modernization agent. The four-chapter course covers assessment, planning, upgrade execution, and cloud deployment to Azure App Service. Unlike typical agentic tools, the GitHub Copilot modernization agent produces transparent, editable artifacts (assessment.md, plan.md, tasks.md) that developers review and adjust before any code changes occur. A GitHub Copilot subscription and Visual Studio 2022 (17.10+) are required.
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SkiaSharp for .NET SkiaSharp 4.0 is now stable, marking the biggest release in years for the cross-platform rendering library
SkiaSharp for .NET SkiaSharp 4.0 is now stable, marking the biggest release in years for the cross-platform rendering library that underpins .NET MAUI, WinUI 3, and Uno Platform. Built on Google's Skia engine (which also powers Chrome and Android), SkiaSharp provides a single GPU-accelerated, pixel-perfect rendering API across Windows, macOS, Linux, iOS, Android, and WebAssembly. Version 4.0 brings the native engine current through Skia milestone m148 (28 upstream milestones), a reworked object lifecycle that eliminates use-after-free crashes, variable font support, color font palettes, animated WebP encoding, and up to 24% faster GPU rendering (30% for Uno Platform apps). Uno Platform is now a formal co-maintainer alongside Microsoft's .NET team, ensuring predictable release cadence
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Hello everyone some of you may not know but now we started to expand to WhatsApp and we are inviting you to join our WhatsApp channel link here 👇👇👇👇👇 WhatsApp Computer Science and Technology We welcome you all to be part of this family
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DuckDuckGo browser now blocks YouTube video ads DuckDuckGo's browser now blocks most YouTube video ads, including pre-roll an
DuckDuckGo browser now blocks YouTube video ads DuckDuckGo's browser now blocks most YouTube video ads, including pre-roll and mid-roll ads, across iOS, Mac, and Windows by default. Android users must enable it manually in Settings. The feature uses community-maintained filter lists from uBlock Origin, supplemented by DuckDuckGo's own compatibility rules. It works separately from the existing Duck Player feature, and both can be used simultaneously. DuckDuckGo joins Brave and Opera in offering built-in YouTube ad blocking without third-party extensions. Minor buffering delays may occur, and the feature may occasionally break as YouTube changes its ad-serving methods.
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GigaChat 3.5 Ultra Publicly Released — The New Generation of the Flagship Model The GigaChat team has released GigaChat 3.5 Ultra as open source—a new 432B model under the MIT license. This is the first open-source hybrid of GatedDeltaNet and MLA scaled to hundreds of billions of parameters, featuring a proprietary training recipe we refined through more than 1,500 experiments. The model has grown in terms of code, mathematics, agent scenarios, and application domains—yet it’s 40% smaller than GigaChat 3.1 Ultra. What’s inside: 🔘A proprietary hybrid MLA + Gated DeltaNet architecture with a dedicated stabilization framework, without which this hybrid setup would not train reliably at this scale; 🔘 Gated Attention: the model can locally down-weight overly strong signals from the attention layer; 🔘GatedNorm: normalization with an explicit gate that controls signal magnitude across features; 🔘Approximately 4x lower KV cache per token: with the same memory budget, the model can support 2.14x longer context and deliver a 20% throughput increase under load; 🔘Two MTP heads, enabling up to 2.2x faster generation; 🔘FP8 across all training stages with no quality degradation compared with bf16, enabled by custom Triton and CUDA kernels; 🔘A new online RL stage after SFT and DPO. Results: 🔘 GigaChat-3.5-Ultra-Base outperforms DeepSeek V3.2 Exp Base and DeepSeek V4 Flash Base on average across a set of general, math, and code benchmarks: 🔘 GigaChat-3.5-Ultra-Instruct is comparable to DeepSeek V3.2 in terms of average score, despite having half the size; 🔘 According to the MiniMax-M2.7 LLM judge, the average win rate against GigaChat 3.1 Ultra is 75.9%, and against GPT-5 is 68.7%. The entire stack — data (our own LLM-filtered Common Crawl, 600+ programming languages in the code), architecture, training methodology, and infrastructure — was built end-to-end by GigaChat team. ➡️ HuggingFace
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Announcing SkiaSharp 4.0 SkiaSharp 4.148.0 is now available on NuGet as the first stable release of SkiaSharp v4. The release
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What's new in Git 2.55.0? Git 2.55.0 introduces several notable features: a new `git history fixup` subcommand that amends st
What's new in Git 2.55.0? Git 2.55.0 introduces several notable features: a new `git history fixup` subcommand that amends staged changes into an existing commit and auto-rebases stacked branches; fsmonitor daemon support for Linux using inotify(7); the ability to push to a group of remotes with fsmonitor d aat's new in Git 2.55.0option for in Git 2.55.0? Gitto cap lane width; batched blob downloads for partial clones in git-grep and git-cherry; and Rust is now a required build dependency unless explicitly disabled.
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