Computer Science and Programming
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
نمایش بیشتر📈 تحلیل کانال تلگرام Computer Science and Programming
کانال Computer Science and Programming (@computer_science_and_programming) در بخش زبانی انگلیسی بازیگری فعال است. در حال حاضر جامعه شامل 140 615 مشترک است و جایگاه 804 را در دسته فناوری و برنامهها و رتبه 88 را در منطقه ايطاليا دارد.
📊 شاخصهای مخاطب و پویایی
از زمان ایجاد در невідомо، پروژه رشد سریعی داشته و 140 615 مشترک جذب کرده است.
بر اساس آخرین دادهها در تاریخ 27 اوت, 2026، کانال فعالیت پایداری دارد. در ۳۰ روز گذشته تغییر اعضا برابر -717 و در ۲۴ ساعت گذشته برابر -29 بوده و همچنان دسترسی گستردهای حفظ شده است.
- وضعیت تأیید: تأیید نشده
- نرخ تعامل (ER): میانگین تعامل مخاطب 7.61% است و در ۲۴ ساعت نخست پس از انتشار، محتوا معمولاً 1.72% واکنش نسبت به کل مشترکان کسب میکند.
- دسترسی پستها: هر پست به طور میانگین 10 699 بازدید دریافت میکند. در اولین روز معمولاً 2 415 بازدید جمعآوری میشود.
- واکنشها و تعامل: مخاطبان بهطور فعال حمایت میکنند؛ میانگین واکنش به هر پست 15 است.
- علایق موضوعی: محتوا بر موضوعات کلیدی مانند sellerflash, github, developer, pricing, waybienad تمرکز دارد.
📝 توضیح و سیاست محتوایی
نویسنده این فضا را محل بیان دیدگاههای شخصی توصیف میکند:
“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...”
به لطف بهروزرسانیهای پرتکرار (آخرین داده در تاریخ 28 اوت, 2026)، کانال همواره بهروز و دارای دسترسی بالاست. تحلیلها نشان میدهد مخاطبان بهطور فعال با محتوا تعامل دارند و آن را به نقطه اثرگذاری مهم در دسته فناوری و برنامهها تبدیل کردهاند.
ASP.NET Core applications often run fast locally but slow in production due to environment differences, resource constraints, database query inefficiencies, async/await misuse, excessive logging, cold starts, improper caching, and network latency. The guide covers common bottlenecks like EF Core N+1 queries, thread pool starvation from blocking calls, logging overhead, in-memory cache limitations in scaled environments, and HttpClient socket exhaustion. It provides code examples showing problematic patterns versus optimized alternatives, emphasizing measurement-driven optimization: timing requests and database queries, checking thread pool health, reducing allocations, and implementing distributed caching before scaling infrastructure.
Neovim is a modern text editor evolved from Vim, often called a PDE (Personalized Development Environment) rather than an IDE. The author uses Neovim with tmux for various tasks including data engineering, SQL queries, and writing. The setup includes features like database querying (vim-dadbod), LSP integration, git support, and markdown preview. While powerful for programming, the author prefers Obsidian for note-taking due to better support for backlinks, images, diagrams, and plugins. Neovim requires more initial setup but offers complete customization and long-term sustainability, similar to self-hosting versus using blogging platforms.
WebAssembly is actively used in production by companies like Figma, Cloudflare, and Godot, primarily as a compilation target that bridges language ecosystems. Its strength lies in security guarantees enabling sub-millisecond spinup times and safe execution of untrusted code, plus portability allowing C++/Rust libraries to run in browsers. Performance is comparable to JavaScript in browsers, with trade-offs in binary size and boundary crossing costs. Most developers encounter it transparently through library dependencies rather than directly, which contributes to the perception that "nothing happened" despite significant real-world adoption and ongoing standardization efforts.
An MCP server enables natural language management of Keycloak identity and access management through AI assistants. The open-source project supports 45+ operations including user management, realm configuration, client setup, and authentication flows. Version 0.3 introduces JWT authentication, SSE transport, Kubernetes deployment support, containerization, and production-ready features like health checks and Prometheus metrics. Developers can manage Keycloak by conversing with AI assistants instead of using the admin console or CLI commands.
A contractor shares their experience being hired for what should have been a simple one-day HTML page project. Due to organizational dysfunction, delayed responses, missing assets, and endless email chains, the project stretched from an estimated 20 hours to 7 weeks of on-site work. Despite feeling like an impostor for charging so much for minimal actual coding, the contractor invoiced for their time. The company not only accepted the $18,000 invoice but recalculated it to $21,000, acknowledging the contractor had been available and ready to work throughout the extended timeline.
AI SRE tools fail not because of weak models, but because they lack proper observability foundations. Legacy systems with short retention windows, dropped high-cardinality data, and slow queries prevent AI from performing effective root cause analysis. ClickHouse's columnar architecture enables long-retention, high-cardinality observability at scale with sub-second query speeds, making it ideal for AI SRE copilots. The article presents a reference architecture combining ClickHouse with context layers (deployments, topology, incident history) and LLMs via SQL to create an investigative copilot that correlates data and surfaces insights while keeping humans in control of remediation decisions.
Passenger 6.1.1 application server has been released with support for Ubuntu 25.10, improved Ruby 4 compatibility, and a critical bug fix for Nginx uploads. The bug affected requests with buffering disabled where request bodies larger than client_body_buffer_size would become corrupted. The release also upgrades Boost to 1.90, updates Nginx to 1.28.0, and includes numerous library updates in precompiled binaries including OpenSSL 3.6.0, curl 8.17.0, and Ruby versions up to 3.4.8.
DuckDB was successfully compiled and tested on the LoongArch CPU architecture (Loongson 3A6000) using a MOREFINE M700S device. While DuckDB's unit tests passed without issues, TPC-H benchmark performance showed the system running approximately 10 times slower than an M3 Max MacBook Pro. The compilation required minimal patches, demonstrating DuckDB's portability across CPU architectures. Performance limitations are attributed to older toolchains (GCC 8.3, Linux kernel 4.19) and less mature optimization for the LoongArch platform compared to established x86/ARM ecosystems.
Taiwanese prosecutors issued an arrest warrant for OnePlus CEO Pete Lau, alleging illegal business operations and recruitment of over 70 employees in Taiwan for smartphone software development. The case falls under Taiwanese law governing relations with China. Taiwan has been cracking down on Chinese companies allegedly poaching tech talent through shell companies and hiring agencies, with 16 Chinese firms under investigation as of August 2025 for similar activities.
Chrome 144 introduces the `<geolocation>` HTML element, a declarative alternative to the JavaScript Geolocation API. This element requires user interaction (clicking a button) to request location data, reducing accidental blocks and browser interventions. It evolved from a genericdata, reducing aelement after origin trial feedback showed improved user trust and success rates. The element simplifies implementation by handling permission states automatically, supports attributes liketeraction (cliandroducing and includes styling constraints to prevent deceptive patterns. A polyfill and progressive enhancement strategies ensure backward compatibility with browsers that don't support the new element.
Although popular, personally, I have never met anyone who would have implemented more than half of the mentioned Design Patterns. Yet sometimes, even unintentionally, I have heard of a pattern that has been implemented over and over as a common solution, usually by my classmates. Do you have such a thing? Maybe you could match its structure to the one described in a book? Or are you familiar with its name? Personally, the most used one would be Singleton. I hope to learn yours. I was introduced to it when I was making my first steps in Unity Engine. Implementing it was a way to have some common things set up between the scenes, if I remember correctly, and from then on, I often used it in different technologies, from Java to TypeScript.
Just Fucking Use Shadcn shadcn/ui is a component collection you copy-paste into your React project rather than installing as a dependency. Built on Radix UI or Base UI primitives with Tailwind CSS styling, it provides accessible, themeable components you fully own and control. The ecosystem includes a registry system for sharing custom components and numerous community registries for specialized use cases. AI tools are well-trained on shadcn patterns, making it efficient for AI-assisted development.
Gitdocs AI is a tool that automatically generates production-ready README files for GitHub repositories. It analyzes repository code and creates structured documentation with customizable templates. Recent updates include improved AI workflow, multiple documentation templates, and near-zero downtime. The service is currently free and aims to make industry-standard documentation accessible to all developers.
Chrome 144 introduces the `<geolocation>` HTML element, a declarative alternative to the JavaScript Geolocation API. This element requires user interaction (clicking a button) to request location data, reducing accidental blocks and browser interventions. It evolved from a genericdata, reducing aelement after origin trial feedback showed improved user trust and success rates. The element simplifies implementation by handling permission states automatically, supports attributes liketeraction (cliandroducing and includes styling constraints to prevent deceptive patterns. A polyfill and progressive enhancement strategies ensure backward compatibility with browsers that don't support the new element.
PostgreSQL can replace Redis for caching, pub/sub, job queues, and sessions using UNLOGGED tables, LISTEN/NOTIFY, SKIP LOCKED, and JSONB. While PostgreSQL is 50-158% slower per operation (0.1-1ms difference), it eliminates network hops between databases, reduces infrastructure costs by ~$100/month, simplifies operations, and guarantees transactional consistency. The approach works best for small-to-medium apps with simple caching needs but isn't suitable for high-throughput scenarios (100k+ ops/sec) or applications requiring Redis-specific data structures like sorted sets or HyperLogLog.
Simon Willison forked gistpreview.github.io to create gisthost.github.io, a tool that renders HTML files stored in GitHub Gists. The original gistpreview uses GitHub Pages and the Gist API to fetch and display HTML content via document.write(), bypassing GitHub's text/plain content-type restriction. The new fork fixes two issues: Substack URL mangling and truncated large files from the API. It also removes jQuery and Bootstrap dependencies, consolidating everything into a single HTML
JavaScript's Date constructor has fundamental flaws: zero-indexed months, inconsistent parsing, mutable objects representing immutable real-world dates, and poor timezone support. The new Temporal API solves these issues with immutable-style methods that return new objects instead of mutating existing ones, explicit timezone handling, intuitive syntax for date arithmetic, and built-in formatting. Temporal is now in stage 3 of standardization and available in Chrome and Firefox for experimentation.
