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
显示更多📈 Telegram 频道 Computer Science and Programming 的分析概览
频道 Computer Science and Programming (@computer_science_and_programming) 英语 语言赛道中的 是活跃参与者。目前社区聚集了 140 628 名订阅者,在 技术与应用 类别中位列第 804,并在 意大利 地区排名第 88 位。
📊 受众指标与增长动态
自 невідомо 创建以来,项目保持高速增长,吸引了 140 628 名订阅者。
根据 27 八月, 2026 的最新数据,频道保持稳定运转。过去 30 天订阅人数变化为 -717,过去 24 小时变化为 -29,整体触达仍然可观。
- 认证状态: 未认证
- 互动率 (ER): 平均受众互动率为 7.61%。内容发布后 24 小时内通常能获得 1.72% 的反应,占订阅者总量。
- 帖子覆盖: 每篇帖子平均可获得 10 699 次浏览,首日通常累积 2 415 次浏览。
- 互动与反馈: 受众积极参与,单帖平均反应数为 15。
- 主题关注点: 内容集中在 sellerflash, github, developer, pricing, waybienad 等核心主题上。
📝 描述与内容策略
作者将该频道定位为表达主观观点的平台:
“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...”
凭借高频更新(最新数据采集于 28 八月, 2026),频道始终保持新鲜度与高覆盖。分析显示受众积极互动,使其成为 技术与应用 类别中的关键影响点。
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.
A developer shares their experience of being unexpectedly banned from GitHub with no explanation, no email notification, and a frustrating support process that required having an active account to appeal. The ban erased all their contributions, comments, and pull requests, and blocked access to features like code search, GitHub Sponsors, CI artifacts, and HACS for Home Assistant. The author speculates the ban may have been triggered by adblocker filter lists, an ad-blocking tool for a VR game, or a joke repo using Unicode text-reversal characters. They urge developers to migrate away from GitHub given the risk of sudden account erasure. The account was reinstated roughly three hours after the post was published, seemingly prompted by the public attention.
IntelliJ IDEA 2026.1.1 is a bug-fix release addressing several issues: WSL Python SDK setup is restored, Emmet works correctly in remote development, Gradle sync no longer fails with a class cast error, WildFly server connection is fixed, WSL 2 JDK detection is resolved, Ant target double-click now runs correctly, Spring project code completion is faster, WebLogic run configuration creation is fixed, and Find and Replace works properly on Enter.
Chrome 147 and Firefox 150 shipped to stable in April 2026, bringing several new web platform features. Highlights include the contrast-color() CSS function reaching Baseline (returns black or white for maximum contrast against a given color), scroll-driven animation range properties becoming Baseline, the ariaNotify() method for screen reader announcements, auto sizes for lazy-loaded images, element-scoped view transitions, the CSS border-shape property for non-rectangular borders, SVG textPath path attribute support, modulepreload for JSON and CSS modules, and Math.sumPrecise. Beta releases (Chrome 148, Firefox 151, Safari 26.5) preview name-only container queries, lazy loading for video/audio, CSS container style queries, and the :open pseudo-class.
Horizontal codebase structures that group code by type (components, hooks, utils, types) create poor cohesion and make large codebases hard to navigate. The alternative is a vertical structure that groups code by domain or feature — everything related to 'widgets' lives in src/widgets/, regardless of whether it's a component, hook, or utility. This mirrors how product teams are organized and reduces cognitive load. Shared code that spans multiple features becomes its own vertical. To enforce boundaries between verticals, tools like pnpm workspaces, Nx dependency rules, or eslint-plugin-boundaries can define public interfaces and prevent unintended coupling. The tradeoffs include difficulty choosing the right vertical and risk of duplicated implementations across teams.
Brad Frost introduces 'mouth coding' — a practice of verbally collaborating with an LLM in real time to build websites during live conversations. Using a real-world example of redesigning a small counseling practice's website with his wife, he outlines the key ingredients: live conversation, speech-to-text transcription, solid UI infrastructure, live preview, additional context, and human judgment. He argues this approach democratizes web creation, enables genuine cross-disciplinary collaboration, and is especially valuable for nonprofits and small organizations that lack dedicated web staff. The core thesis is that AI should facilitate human creativity rather than replace it, and mouth coding represents the most participatory, inclusive design process he's experienced in years.
Spring Boot 3.5 reaches end of open-source support on June 30, 2026, but the real risk isn't the migration — it's what happens to CVE reporting afterward. Once a project goes EOL, security researchers stop filing reports against it, maintainers stop triaging, and the CVE pipeline dries up. Vulnerabilities don't disappear; they just stop being recorded. Bad actors exploit this gap by testing CVEs found in supported branches against EOL versions that will never receive patches. Spring Boot 2.7's post-EOL trajectory (e.g., CVE-2024-38807 with no open-source fix) illustrates the pattern. Teams still on 3.5 after June 2026 risk running what the author calls 'zombie dependencies' — technically present, functionally dead from a security standpoint, with scanners showing green while hidden vulnerabilities accumulate. The advice: assess the 3.5-to-4.0 migration scope now, before the silence sets in.
AI is not replacing software engineers wholesale — it's automating routine, execution-level coding tasks. The shift demands developers move from effort-based to impact-based engineering: understanding system architecture, applying clean code principles, debugging complex distributed systems, and taking ownership of outcomes. A five-step roadmap is outlined: strengthen CS fundamentals, build real-world systems with failure handling, master debugging, use AI as a tool rather than a crutch, and establish proof of work through public building and open-source contributions. The core argument is that source code is now a byproduct of thinking, not the primary output.
