Computer Science and Programming – Telegram
Computer Science and Programming
152K subscribers
755 photos
31 videos
37 files
1.04K links
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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Bitbucket’s new look: user experience and navigation updates coming soon
Bitbucket Cloud is getting a visual redesign and navigation overhaul in early 2026, aligning with Atlassian's unified design system. The update includes modernized navigation for faster access to repositories, pull requests, and pipelines, along with improved typography, color system, iconography, and components for better readability and accessibility. Icons and components will roll out progressively over the coming weeks, with the full navigation update launching early next year.
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Introducing Supabase for Platforms
Supabase launches a white-label platform offering that enables companies to provision and manage fully managed backends for their users. The service includes database, auth, edge functions, storage, and realtime capabilities, with features like zero-scaling compute instances, embedded dashboard components via Platform Kit, and project transfer capabilities. AI builders like Lovable and Bolt.new are already using it to create millions of projects. Platforms can manage infrastructure centrally or let users bring their own Supabase accounts through OAuth integration.
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Please Just Fucking Try HTMX
HTMX offers a middle ground between raw HTML limitations and JavaScript framework complexity. By adding HTML attributes that trigger server requests and swap in HTML responses, you can build interactive web applications without the overhead of React, Vue, or Angular. A case study shows a company reduced their codebase by 67%, cut JavaScript by 90%, and improved performance by switching from React to HTMX. The approach works best for typical CRUD applications, dashboards, and forms rather than highly interactive apps like Google Docs. The core benefit is simplicity: no build tools, no state management libraries, just HTML attributes and server-side rendering.
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Next.js 16.1
Next.js 16.1 brings Turbopack file system caching to development mode by default, delivering up to 14× faster compile times when restarting the dev server. The release includes an experimental bundle analyzer for optimizing production bundles, simplified debugging with `next dev --inspect`, and improved handling of transitive external dependencies. Additional improvements include 20MB smaller installs, a newer compile timescommand, and better async import bundling in Turbopack.
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Use Python for Scripting!
Python 3 offers significant advantages over shell noscripts for automation tasks, particularly for cross-platform compatibility. While Bash noscripts often fail between Linux and Mac due to GNU vs BSD tool differences, Python's standardized library works consistently across systems. Python provides better readability with human-readable method names, a comprehensive standard library covering JSON, HTTP, and data structures, and is pre-installed on most machines. The article demonstrates practical examples comparing Bash's cryptic syntax with Python's clearer alternatives, recommending Python for noscripts that grow beyond 10-20 lines or become difficult to maintain.
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Gist of Go: Concurrency is out!

An interactive book on concurrent programming in Go has been released, covering goroutines, channels, select statements, pipelines, synchronization, race prevention, time handling, signaling, atomicity, testing, and concurrency internals. The book features clear explanations with interactive examples and auto-tested exercises for hands-on practice, suitable for both beginners learning concurrency and developers looking to advance beyond basics.
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Deno 2.6: dx is the new npx
Deno 2.6 introduces dx, a new command for running package binaries similar to npx. The release adds granular permission controls with --ignore-read and --ignore-env flags, integrates tsgo for faster type checking, and supports source phase imports for WebAssembly. New features include deno audit for security vulnerability scanning, --require flag for CommonJS preloading, and improved dependency management with deno approve-noscripts. The release enhances Node.js compatibility with @types/node included by default, numerous API fixes across crypto, fs, process, and sqlite modules, and better bundler support for different platforms. Additional improvements include transferable web streams, native source map support, and V8 14.2 upgrade.
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Technical Deflation
AI is making software development progressively easier and cheaper, creating a "technical deflation" effect where startups may delay building features expecting future tools will make development even simpler. This phenomenon gives late-movers an advantage, as companies starting 6-12 months later can build the same functionality with less effort and complexity. The trend suggests startups should focus more on distribution, customer understanding, and sales rather than pure technical execution, since the building itself is becoming commoditized. The rapid pace of AI improvement means timing and strategic patience may matter more than being first to market.
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Postgres 18 New Default for Data Checksums and...
Postgres 18 now enables data checksums by default during database initialization, providing automatic protection against silent data corruption. Data checksums work by calculating and storing a digital fingerprint for each 8KB data page, then verifying it on read to detect corruption. While this improves data integrity out-of-the-box, it creates a compatibility challenge for pg_upgrade users: both old and new clusters must have matching checksum settings. Existing databases without checksums can either use the new --no-data-checksums flag during upgrade initialization, or preferably enable checksums beforehand using the pg_checksums utility (though this requires downtime).
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Stop Using TypeScript's Exclamation Mark

The non-null assertion operator (!) in TypeScript bypasses type safety by forcing the compiler to treat potentially nullable values as non-null, leading to runtime crashes. Instead of using this operator, developers should employ safer alternatives: optional chaining for nested property access, nullish coalescing for default values, conditional operators for explicit branching, type guards for reusable validation, and assertion functions for enforcing invariants. These approaches maintain type safety while handling null and undefined values appropriately, following fail-fast principles and preventing silent failures.
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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 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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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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Darklang Goes Open Source


Darklang has transitioned from a source-available to fully open source model under Apache License 2.0 as part of restructuring from Dark Inc. to Darklang Inc. The decision was driven by user feedback, evolution toward local-first development with CLI support, and new business opportunities in developer tools. The platform now supports both cloud deployment and self-hosting while maintaining its core features like invisible infrastructure and trace-driven development
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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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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.
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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.
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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.
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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.
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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.
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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.
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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 denoscriptions, 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.
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