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
Ko'proq ko'rsatish📈 Telegram kanali Computer Science and Programming analitikasi
Computer Science and Programming (@computer_science_and_programming) Ingliz til segmentidagi kanali faol ishtirokchi. Hozirda hamjamiyat 142 895 obunachidan iborat bo'lib, Texnologiyalar & Aralashmalar toifasida 817-o'rinni va Italiya mintaqasida 86-o'rinni egallagan.
📊 Auditoriya ko‘rsatkichlari va dinamika
невідомо sanasidan buyon loyiha tez o‘sib, 142 895 obunachiga ega bo‘ldi.
09 Iyun, 2026 dagi oxirgi ma’lumotlarga ko‘ra kanal barqaror faollikka ega. Oxirgi 30 kunda obunachilar soni -1 301 ga, so‘nggi 24 soatda esa -26 ga o‘zgardi va umumiy qamrov yuqori darajada qolmoqda.
- Tasdiqlash holati: Tasdiqlanmagan
- Jalb etish (ER): Auditoriya o‘rtacha 5.04% darajada jalb etiladi. Nashrdan keyingi dastlabki 24 soatda kontent odatda umumiy obunachilar sonining 1.75% ini tashkil etuvchi reaksiyalarni to‘playdi.
- Post qamrovi: Har bir post o‘rtacha 7 199 marta ko‘riladi; birinchi sutkada odatda 2 495 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.
📝 Tavsif va kontent siyosati
Muallif resursni shaxsiy fikrni ifoda etish maydoni sifatida ta’riflaydi:
“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 10 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.
A practical guide on when to use CSS shorthand properties versus longhand equivalents. The core argument is that readability and intent should drive the decision, not brevity. Covers specific properties like background, padding, margin, animation, transition, grid, border, font, and text-decoration, with concrete examples showing when shorthand helps versus when it obscures meaning. Also introduces CSS logical properties as a more resilient alternative to directional shorthands for internationalization support.
A developer explains their migration from GitHub to a self-hosted Forgejo instance, driven by concerns about digital sovereignty rather than reliability. Key reasons include GitHub's absorption into Microsoft's CoreAI division (losing independent leadership), the April 2026 opt-out flip for Copilot training data, and unresolvable US jurisdictional risk under FISA 702 and the CLOUD Act. The post details the technical architecture: Forgejo v15 LTS on a single NUC with Postgres and Traefik, plus a hardened CI runner using KVM isolation, gVisor, weekly destructive rebuilds, nftables egress filtering, and scope-bound tokens. The Dutch government's choice of Forgejo for code.overheid.nl is cited as institutional validation. Honest trade-offs are covered: loss of GitHub's social graph, Actions ecosystem friction, no Dependabot (replaced by Renovate), and lack of enterprise support.
Microsoft has released the May 2026 servicing updates for .NET and .NET Framework, dated May 12, 2026. The update includes security and non-security fixes, addressing three CVEs (CVE-2026-35433, CVE-2026-32175, CVE-2026-42899). Updated versions include .NET 10.0.8, .NET 9.0.16, and .NET 8.0.27, with corresponding container images and Linux install instructions also refreshed.
A developer spent 7 months vibe-coding a GPU-aware Kubernetes TUI (k10s) with Claude, then archived it after the codebase collapsed under its own weight. The post dissects five concrete failure patterns that emerge from AI-assisted coding without architectural guardrails: AI builds features not architecture (leading to god objects), the god object as default AI artifact, velocity illusion causing scope creep, positional data as a time bomb, and AI mishandling state transitions causing data races. Each tenet includes real code examples from the failed codebase and specific CLAUDE.md/AGENTS.md directives to prevent the same mistakes. The author is rewriting from scratch in Rust, doing architecture design by hand before any AI-generated code.
GitHub's reliability has deteriorated sharply, with 257 incidents tracked between May 2025 and April 2026, including 48 major outages. GitHub Actions alone suffered 57 outages in that period. The root cause, per GitHub's CTO, is the explosive growth of agentic AI workflows demanding 30x the platform's designed capacity. High-profile users like Mitchell Hashimoto (Ghostty) and the Zig project have migrated away. Compounding the scaling crisis are engineering failures like an incomplete feature flag that silently reverted thousands of merged pull requests. Microsoft's absorption of GitHub into its CoreAI org and commercial pressure around Copilot are seen as contributing factors. GitHub has declared an 'availability first' mandate, but community patience is running thin as comparable platforms like GitLab and npm handle the same AI-driven growth without comparable disruptions.
Chrome 148 introduces three notable features: CSS name-only container queries allow querying containers by name without specifying a container-type; lazy loading support is added to video and audio elements via the loading attribute, matching existing behavior for img and iframe; and the Prompt API provides web developers direct access to on-device AI (Gemini Nano) supporting text, image, and audio inputs with response constraints for JSON schema and regex formats.
Supabase has made git-free database branching the default for all projects. Previously available only as a feature preview, dashboard branching lets developers create isolated Postgres branches, make schema changes via the SQL or Table Editor, review a diff, and merge — all without a GitHub integration. Git-based branching remains fully supported and both workflows can coexist. The release also introduces pg-delta, a new schema diffing engine built to replace migra with broader Postgres DDL coverage. Dashboard branching is also the default for branches created via the Supabase MCP server, enabling AI tools to iterate on schemas programmatically without touching git.
The May 2026 Svelte update brings TypeScript 6.0 support in SvelteKit, several improvements to remote functions including breaking changes in 2.56.0, and the experimental release of community add-ons in the Svelte CLI. Notable remote function changes include a new `field.as()` API for default form values,26
The May 202transport for richer data types, and a 2026 Svemethod on queries. The CLI now separates026 Svandt’s new in S
packages for a cleaner public API. The community showcase features new apps, UI components, state management libraries, and developer tools built with Svelte.
A Salesforce engineer on the Security Mesh platform increased code coverage by 28% without writing any new tests by restructuring Java data models. The approach involved replacing @Data-annotated mutable classes with immutable Java records and @Value annotations, removing auto-generated boilerplate (getters, setters, utility methods) that inflated coverage denominators without representing real business logic. The Builder pattern was introduced to handle object enrichment while preserving immutability. This reduced total measured lines of code, naturally improving the coverage ratio. The post also discusses how excessive boilerplate harms AI-assisted development tools by consuming context window space and reinforcing false system contracts.
A developer reflects on how they went from mocking Linux power users, vim enthusiasts, and terminal-heavy setups to daily driving Arch Linux, Kitty, and Neovim themselves. The shift came from frustration with sluggish, friction-heavy tools like Windows+WSL and bloated VS Code. The result was a faster, more enjoyable workflow — but also the loss of strong opinions, replaced by the dreaded 'it depends' mindset. The post is a candid, self-aware story about how experience erodes certainty and builds tolerance for trade-offs.
Endi mavjud! Telegram Tadqiqoti 2025 — yilning asosiy insaytlari 
