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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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📈 Telegram kanali Computer Science and Programming analitikasi

Computer Science and Programming (@computer_science_and_programming) Ingliz til segmentidagi kanali faol ishtirokchi. Hozirda hamjamiyat 142 852 obunachidan iborat bo'lib, Texnologiyalar & Aralashmalar toifasida 816-o'rinni va Italiya mintaqasida 86-o'rinni egallagan.

📊 Auditoriya ko‘rsatkichlari va dinamika

невідомо sanasidan buyon loyiha tez o‘sib, 142 852 obunachiga ega bo‘ldi.

10 Iyun, 2026 dagi oxirgi ma’lumotlarga ko‘ra kanal barqaror faollikka ega. Oxirgi 30 kunda obunachilar soni -1 294 ga, so‘nggi 24 soatda esa 4 ga o‘zgardi va umumiy qamrov yuqori darajada qolmoqda.

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  • Jalb etish (ER): Auditoriya o‘rtacha 5.30% darajada jalb etiladi. Nashrdan keyingi dastlabki 24 soatda kontent odatda umumiy obunachilar sonining 1.83% ini tashkil etuvchi reaksiyalarni to‘playdi.
  • Post qamrovi: Har bir post o‘rtacha 7 568 marta ko‘riladi; birinchi sutkada odatda 2 612 ta ko‘rish yig‘iladi.
  • Reaksiyalar va o‘zaro ta’sir: Auditoriya faol: har bir postga o‘rtacha 14 ta reaksiya keladi.
  • Tematik yo‘nalishlar: Kontent sellerflash, github, developer, pricing, waybienad kabi asosiy mavzularga jamlangan.

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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_sc...

Yuqori yangilanish chastotasi (oxirgi ma’lumot 11 Iyun, 2026 da olingan) sababli kanal doimo dolzarb va katta qamrovli bo‘lib qoladi. Analitika auditoriya kontent bilan faol hamkorlik qilishini, uni Texnologiyalar & Aralashmalar toifasidagi muhim ta’sir nuqtasiga aylantirishini ko‘rsatadi.

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I’m a former CTO. Here is the 15 sec coding test I used to instantly filter out 50% of unqualified applicants. – Jose Zarazua
I’m a former CTO. Here is the 15 sec coding test I used to instantly filter out 50% of unqualified applicants. – Jose Zarazua
A former CTO shares a simple coding screening question used to filter job applicants. The test presents basic code logic that qualified developers can solve mentally in seconds, while unqualified candidates resort to copy-pasting into interpreters or AI tools. The question includes a hidden character that produces different results when copy-pasted versus solved manually. Results showed 50% of applicants used automated tools, 47% answered correctly, and 3% answered incorrectly, effectively halving the candidate pool requiring deeper review.

AddyOsmani.com Addy Osmani announces his transition from Chrome developer experience to a director role at Google Cloud AI. A
AddyOsmani.com
Addy Osmani announces his transition from Chrome developer experience to a director role at Google Cloud AI. After nearly 14 years with Chrome, he's now focusing on helping developers and businesses succeed with Gemini, Vertex AI, and the Agent Development Kit. His role bridges Google DeepMind, engineering, product, and developer relations teams to improve enterprise AI adoption and developer experience.

Announcing Capacitor 8 Capacitor 8 has been released with two major updates: Swift Package Manager (SPM) replaces CocoaPods a
Announcing Capacitor 8
Capacitor 8 has been released with two major updates: Swift Package Manager (SPM) replaces CocoaPods as the default dependency manager for new iOS projects, and Android now includes built-in edge-to-edge support through a new SystemBars plugin that automatically handles status and navigation bar appearance. Existing CocoaPods projects remain supported, and the new SystemBars API provides fine-grained control when needed. The framework continues growing rapidly, approaching one million weekly downloads.

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News: .NET packages may require manual intervention .NET packages on Arch Linux upgrading from version 9.0 to 10.0 may encoun
News: .NET packages may require manual intervention
.NET packages on Arch Linux upgrading from version 9.0 to 10.0 may encounter dependency errors during installation. Affected packages include aspnet-runtime, dotnet-runtime, and dotnet-sdk. Users needing to keep version 9.0 can manually install versioned packages (e.g., aspnet-runtime-9.0) and remove the unversioned ones using pacman commands.

What’s New in Maven 4 Maven 4 introduces significant improvements after 15 years since Maven 3. Key updates include POM versi
What’s New in Maven 4
Maven 4 introduces significant improvements after 15 years since Maven 3. Key updates include POM version 4.1.0, build/consumer POM separation for cleaner dependency resolution, new artifact types for explicit classpath and module path control, and renaming 'modules' to 'subprojects' to avoid confusion with Java modules. The release adds a tree-based lifecycle for better multi-project performance, before/after phase hooks, condition-based profile activation, and a unified sources section for custom source directories. An upgrade tool helps migrate from Maven 3, while maintaining backward compatibility with version 4.0.0 POMs.

Google's vibe-coding tool Opal comes to Gemini Google is integrating Opal, its vibe-coding tool for building AI-powered mini
Google's vibe-coding tool Opal comes to Gemini
Google is integrating Opal, its vibe-coding tool for building AI-powered mini apps, directly into the Gemini web interface. Users can now create custom apps (called Gems) using natural language descriptions, with a visual editor that arranges steps without writing code. The tool includes a new view that converts written prompts into step-by-step workflows, and advanced users can access more customization options at opal.google.com. This move positions Google alongside other AI-powered app-building tools like Lovable, Cursor, and offerings from Anthropic and OpenAI.

Query Consoles Are Coming Back JetBrains is reverting a controversial workflow change in DataGrip 2025.3 that replaced query
Query Consoles Are Coming Back
JetBrains is reverting a controversial workflow change in DataGrip 2025.3 that replaced query consoles with query files. The redesign caused issues with global data sources and disrupted user workflows. Version 2025.3.1, releasing this week, will restore the original query console behavior. Users who created query files during the migration can delete them, convert them to consoles, or keep them for a planned improved workflow early next year. The team acknowledges failing their zero-regression standard and commits to more careful, flexible updates going forward.

Deploying the world's largest GitLab instance 12 times daily GitLab deploys code to GitLab.com up to 12 times daily using the
Deploying the world's largest GitLab instance 12 times daily
GitLab deploys code to GitLab.com up to 12 times daily using their own CI/CD platform, handling millions of developers without downtime. The deployment pipeline uses progressive rollouts through staging and production Canary environments (5% traffic), followed by full staging and production deployments. Key technical challenges include managing hybrid infrastructure (Helm charts for containers, Omnibus packages for Gitaly), handling database migrations with backward compatibility, and maintaining multi-version compatibility during deployments. The expand-migrate-contract pattern ensures safe schema changes, while post-deploy migrations run only after multiple successful deployments to minimize rollback risks. This approach validates GitLab's deployment features at massive scale before customers use them.

Goodbye to an 11-year-old Issue A reflection on an 11-year-old GitHub issue that was recently closed, prompting thoughts abou
Goodbye to an 11-year-old Issue
A reflection on an 11-year-old GitHub issue that was recently closed, prompting thoughts about how much has changed in the software development landscape and the author's career since 2014. The post touches on the evolution of GitHub features like Discussions and GitHub Flavored Markdown, while sharing personal milestones and career growth from early developer evangelism days to working at GitHub itself.

Traits of a good Tech Lead Tech Leads are responsible for technical direction across three pillars: architecture (defining de
Traits of a good Tech Lead
Tech Leads are responsible for technical direction across three pillars: architecture (defining decisions, managing technical debt), quality (maintaining standards), and mentorship (enabling team growth). Good Tech Leads use written artifacts like RFCs and PoCs to structure decisions, actively negotiate technical scope with product stakeholders, and establish operating principles that enable autonomous decision-making. They generate team velocity through clarity, reduce ambiguity, and influence without authority. Key anti-patterns include making improvised decisions without documentation, overdesigning solutions, and centralizing knowledge instead of distributing it across the team.

Announcing DuckDB 1.4.3 LTS DuckDB 1.4.3 LTS is now available with important bugfixes addressing correctness issues in HAVING
Announcing DuckDB 1.4.3 LTS
DuckDB 1.4.3 LTS is now available with important bugfixes addressing correctness issues in HAVING clauses, JOIN operations, and indexed table updates. The release introduces beta support for Windows ARM64, including native extension distribution and Python wheels via PyPI. Benchmarks on TPC-H SF100 show 24% performance improvement for native ARM64 compared to emulated AMD64 on Snapdragon-based systems. Additional fixes include race condition crashes, memory management improvements during WAL replay, and various edge cases in Unicode handling and Parquet exports.

What do people love about Rust? Rust users consistently cite reliability, efficiency, low-level control, supportive tooling,
What do people love about Rust?
Rust users consistently cite reliability, efficiency, low-level control, supportive tooling, and extensibility as key strengths. The language's real power comes from achieving all these attributes simultaneously, creating a trusted, versatile tool that empowers developers to tackle new domains and problems they couldn't approach before. However, balance is crucial: complex type systems, async Rust's steep learning curve, and crates.io's overwhelming choice can undermine supportiveness. The Rust team recommends enumerating design goals, doubling down on extensibility (especially for diagnostics and build integration), and helping users navigate the ecosystem.

Bun v1.3.5 Bun v1.3.5 introduces a new Bun.Terminal API for pseudo-terminal (PTY) support, enabling interactive terminal appl
Bun v1.3.5
Bun v1.3.5 introduces a new Bun.Terminal API for pseudo-terminal (PTY) support, enabling interactive terminal applications. The release adds compile-time feature flags for dead-code elimination in the bundler, improves Bun.stringWidth accuracy for Unicode and emoji, and implements V8 C++ value type checking APIs. It also adds Content-Disposition support for S3 uploads and fixes environment variable expansion in .npmrc files. The update addresses 32 issues including networking bugs (macOS kqueue CPU usage, HTTP proxy authentication), Windows-specific crashes (WebSocket with compression, bunx panics), Node.js compatibility improvements, TypeScript definition fixes, and security issues with trusted dependencies.

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DynaUI DynaUI is a React component library featuring 30+ animated components built with Tailwind CSS and Framer Motion. It pr
DynaUI
DynaUI is a React component library featuring 30+ animated components built with Tailwind CSS and Framer Motion. It promises to reduce development time from weeks to hours by providing pre-built, customizable UI components for landing pages and web applications. The library has received positive feedback from developers who appreciate its time-saving potential and quality animations. 

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What if hard work felt easier? Explores the concept that effective work doesn't need to feel difficult, challenging the tech
What if hard work felt easier?
Explores the concept that effective work doesn't need to feel difficult, challenging the tech industry's grind culture. Through personal examples of building side projects with AI tools like Claude and Cursor, the author demonstrates how aligning work with natural interests and motivation leads to higher output and sustainability. For engineering leaders, the key insight is that mandating hours is less effective than helping team members find work that feels intrinsically motivating and obvious to them.

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⚠ Message was hidden by channel owner

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