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

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Sometimes reality outpaces expectations in the most unexpected ways.
While global AI development seems increasingly fragmented, Sber just released Europe's largest open-source AI collection—full weights, code, and commercial rights included.
No API paywalls.
No usage restrictions.
Just four complete model families ready to run in your private infrastructure, fine-tuned on your data, serving your specific needs.

What makes this release remarkable isn't merely the technical prowess, but the quiet confidence behind sharing it openly when others are building walls. Find out more in the article from the developers.

GigaChat Ultra Preview: 702B-parameter MoE model (36B active per token) with 128K context window. Trained from scratch, it outperforms DeepSeek V3.1 on specialized benchmarks while maintaining faster inference than previous flagships. Enterprise-ready with offline fine-tuning for secure environments.
GitHub | HuggingFace | GitVerse

GigaChat Lightning offers the opposite balance: compact yet powerful MoE architecture running on your laptop. It competes with Qwen3-4B in quality, matches the speed of Qwen3-1.7B, yet is significantly smarter and larger in parameter count.
Lightning holds its own against the best open-source models in its class, outperforms comparable models on different tasks, and delivers ultra-fast inference—making it ideal for scenarios where Ultra would be overkill and speed is critical. Plus, it features stable expert routing and a welcome bonus: 256K context support.
GitHub | Hugging Face | GitVerse

Kandinsky 5.0 brings a significant step forward in open generative models. The flagship Video Pro matches Veo 3 in visual quality and outperforms Wan 2.2-A14B, while Video Lite and Image Lite offer fast, lightweight alternatives for real-time use cases. The suite is powered by K-VAE 1.0, a high-efficiency open-source visual encoder that enables strong compression and serves as a solid base for training generative models. This stack balances performance, scalability, and practicality—whether you're building video pipelines or experimenting with multimodal generation.
GitHub | GitVerse | Hugging Face | Technical report

Audio gets its upgrade too: GigaAM-v3 delivers speech recognition model with 50% lower WER than Whisper-large-v3, trained on 700k hours of audio with punctuation/normalization for spontaneous speech.
GitHub | HuggingFace | GitVerse

Every model can be deployed on-premises, fine-tuned on your data, and used commercially. It's not just about catching up – it's about building sovereign AI infrastructure that belongs to everyone who needs it.
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This is Kiroween
Kiro announces Kiroween, a Halloween-themed hackathon with $100,000 in prizes across 12 categories. Participants build applications using Kiro's agentic IDE features including specs, agent hooks, steering, and MCP. The competition runs from October 31 to December 5, 2025, with categories like Resurrection, Frankenstein, Skeleton Crew, and Costume Contest, plus a special $10,000 startup prize. All participants receive Kiro Pro+ tier access during the submission period.
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Designing the Jarvis moment
OpenAI's Apps SDK enables third-party applications to integrate seamlessly within ChatGPT conversations, creating contextual experiences where users complete tasks without switching interfaces. The SDK applies Hick's Law and Fitts's Law principles to reduce decision complexity and interaction distance. Designers should focus on single-purpose, conversation-friendly tasks that can be summarized visually with minimal actions. Best practices include displaying only relevant information, limiting cards to two primary actions, and avoiding complex multi-step workflows. This shift positions ChatGPT as an operating system-like environment, expanding UX design scope toward flows, contexts, and systems that help AI communicate and align with human goals.
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Electron 39.0.0
Electron 39.0.0 brings upgrades to Chromium 142.0.7444.52, Node 22.20.0, and V8 14.2. The ASAR integrity feature, which validates packaged apps against build-time hashes to prevent tampering, graduates from experimental to stable. New features include hardware acceleration detection, HDR color space support for offscreen rendering, granular accessibility management, and dynamic ESM imports in preloads. Breaking changes include deprecation of the --host-rules command line switch in favor of --host-resolver-rules, always-resizable window.open popups per WHATWG spec, and restructured shared texture OSR paint event data. Electron 36.x.y reaches end-of-support.
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Quiet UI Came and Went, Quiet as a Mouse
Quiet UI, a newly released open source JavaScript web components library, was withdrawn from public availability shortly after launch. The creator, Cory LaViska (known for Shoelace/Web Awesome), announced the library will continue as a personal project but is no longer available to the general public. The repository and social accounts have been removed, though the creator plans to maintain it privately as a creative outlet.
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Lissy93/domain-locker: 🌐 The all-in-one tool, for keeping track of your domain name portfolio. Got domain names? Get Domain Locker!
Domain Locker is an open-source tool for managing domain name portfolios, providing centralized tracking of domain expirations, SSL certificates, DNS records, and hosting details. It offers automated monitoring with configurable notifications, detailed analytics, and supports both a managed SaaS version and self-hosted deployment via Docker. The application features a comprehensive dashboard for domain visibility, change tracking, uptime monitoring, and cost management across multiple registrars and providers.
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You're Not Building Netflix: Stop Coding Like You Are
Over-engineering is a common trap for intermediate developers who apply enterprise patterns and abstractions to simple problems. The article argues against premature abstraction, showing real examples of unnecessarily complex code that could be replaced with straightforward solutions. Key principles include: abstract only what changes frequently, wait for three use cases before creating abstractions, avoid interfaces with single implementations, and prioritize readability over architectural sophistication. Simple, boring code that solves actual problems scales better than over-architected solutions designed for hypothetical future requirements.
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From student to developer - How open source can launch your career

Contributing to open source projects provides students and early-career developers with real-world experience, mentorship, and professional visibility. Quality contributions demonstrate collaboration skills, technical understanding, and professional communication—qualities that employers value. Building a public portfolio through GitHub, learning in public, and engaging with communities beyond just writing code develops both technical and leadership skills that launch successful development careers.
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A Jarvis for everyone: AI agents as new interfaces
AI agents powered by the Model Context Protocol (MCP) are transforming user interfaces from traditional screen-based interactions to conversational, context-aware systems. This shift requires developers to rethink frontend architecture, moving from designing static components to crafting intelligent workflows that agents can interpret. The article explores how multi-channel, multi-capability frameworks enable Jarvis-like assistants to seamlessly handle tasks across platforms, the design patterns needed for agent-first interfaces, and the challenges around reliability, privacy, and user trust that teams must address when building these systems.
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State of React 2025

The State of React 2025 survey is now open, inviting developers to share their experiences with React's ecosystem. The survey aims to measure awareness and popularity of React APIs, Server Components, the upcoming Compiler, and related libraries. Running from October 25 to November 25, results will be released openly to help developers and companies prioritize their roadmaps. The survey takes 15-20 minutes and is open to anyone who uses React, from students to professionals.
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UX 3.0
UX 3.0 represents a paradigm shift from interface-centered design to intelligent ecosystem orchestration, where designers create experiences spanning interconnected devices and AI-powered systems. This evolution introduces four core pillars: ecosystem-based experiences across product lifecycles and platforms, human-AI symbiosis enabling predictive and contextual interactions, ethical considerations around transparency and fairness in AI systems, and co-creation methodologies that democratize the design process. Companies like Google, Netflix, and Spotify exemplify this approach by building adaptive systems that anticipate user needs, personalize experiences through machine learning, and maintain consistency across complex technological ecosystems while addressing challenges of algorithmic bias, privacy, and digital well-being.
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Zed Is Our Office — Zed's Blog
Zed Industries runs their entire company using Zed's native collaboration features, including meetings, project work, and individual focus time. The editor was built from the ground up with collaboration as a core feature using CRDTs for conflict-free concurrent editing, integrated voice/screen sharing, and a channel-based workspace structure. The team organizes their virtual office through hierarchical channels for company-wide discussions, project-specific work, and personal focus spaces, demonstrating how real-time collaborative editing can replace traditional meeting tools.
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Just Use Postgres!

A comprehensive review of Denis Magda's book covering PostgreSQL's capabilities beyond traditional relational features. The 402-page guide explores core database concepts like indexing (B+Tree, hash, partial), transactions, and modern SQL features (CTEs, window functions), then dives into non-relational capabilities including JSON storage and full-text search. The book examines PostgreSQL's extension ecosystem: pgvector for ML/GenAI embeddings, TimescaleDB for time series data, PostGIS for geospatial queries, and pgmq for message queues. Includes performance tuning guidance and discusses when PostgreSQL might not be the right choice.
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ReUI

ReUI is an open-source collection of UI components and animated effects built with React, TypeScript, Tailwind CSS, and Motion. The library offers over 30 different component types including data grids, buttons, forms, navigation elements, and interactive components. It's designed to work seamlessly with shadcn/ui and provides multiple examples for each component type, ranging from basic elements like badges and alerts to complex components like data grids with 21 examples.
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