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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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Computer Science and Programming

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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Computer Science and Programming

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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Computer Science and Programming

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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Computer Science and Programming

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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Computer Science and Programming

#promo

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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Computer Science and Programming

Next.js 15.4

Next.js 15.4 brings Turbopack builds to 100% integration test compatibility, making it ready for production use and powering vercel.com. The release includes stability and performance improvements while previewing Next.js 16 features like unified cache components, optimized client-side routing, enhanced DevTools, stable Node.js middleware, and deployment adapters. Developers can experiment with upcoming features using the canary channel and experimental flags.

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Computer Science and Programming

Round 1 - Private Sale starts NOW!

Jump.meme

🔥 Only 100B JUMP up for grabs!
💰 Buy early before the price goes up to $0.0001!
👀 Don’t be the one saying “I saw JUMP but didn’t buy…”

Ad. 18+

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Computer Science and Programming

Pikaday

Most forms don't need JavaScript date pickers. Native HTML date/time inputs handle accessibility, performance, and internationalization automatically. For better usability, consider separate inputs for day/month/year, select dropdowns for limited options, or masked inputs with validation. Complex calendar widgets lead to more errors and accessibility issues. Keep forms simple by using native browser features and basic HTML elements that are easier to use and test.

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Computer Science and Programming

The (lazy) Git UI You Didn't Know You Need

Lazygit is a terminal-based Git UI that enhances productivity through consistency, discoverability, and interactivity. The tool maintains Git CLI terminology while providing visual guidance for operations like interactive rebasing, cherry-picking, and commit patching. Its vim-style keybindings enable quick workflows (e.g., amending and force-pushing in 5 keystrokes), while interactive prompts prevent mistakes and teach better Git patterns. The TUI approach delivers speed and portability without overwhelming users, making complex operations like splitting commits or selective line resets significantly simpler than traditional CLI or GUI alternatives.

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Computer Science and Programming

Stitcher.io

A refactoring case study that simplified a content scheduling system by eliminating a state transition and cron job. The original design used three states (PENDING, SCHEDULED, PUBLISHED) with automated transitions, requiring cron jobs, console commands, and complex logic. The refactor removed the SCHEDULED state and added a future-dated publicationDate field to PUBLISHED posts, using a SQL query to find available time slots. This eliminated moving parts like cron jobs and automatic state transitions, trading one type of complexity for another. The key insight: modeling software directly from human processes doesn't always yield the simplest technical solution.

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Computer Science and Programming

Using LLMs to generate user-defined real-time data visualizations

Developers are increasingly using Tinybird to track LLM usage, costs, and performance in AI applications. A new app template called the LLM Performance Tracker allows users to generate real-time data visualizations. The core components include a Tinybird datasource, a Tinybird pipe, a React component, and an AI API route. The backend processes user input to generate chart parameters, while the frontend visualizes the data. This approach emphasizes the importance of performant analytics backends and cautious LLM usage for secure and scalable data visualization.

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Computer Science and Programming

MCP-UI

MCP-UI is a client SDK that provides React components and Web Components for building interactive user interfaces. It enables developers to render dynamic UI resources and handle user actions with easy frontend integration through its component library.

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Computer Science and Programming

Forgejo v13.0 is available

Forgejo v13.0 introduces content moderation tools allowing users and admins to report abusive content, enhanced security with improved 2FA enforcement and Actions secrets encryption, and better Actions usability with access to previous run attempts and static workflow validation. Additional features include Pagure repository migration, EXIF data removal from avatars, CI status display on force pushes, and improved markdown editor shortcuts. The release follows a three-month cycle with v11.0 receiving long-term support until July 2026.

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Computer Science and Programming

A Great Resource for Open-Source Tools

A curated directory featuring over 200 open-source tools serves as an alternative discovery platform to commercial software. The directory integrates with GitHub to display real-time star counts, helping developers assess community adoption and tool popularity when building new technology stacks or replacing existing solutions.

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Computer Science and Programming

When Spreadsheets Become Too Many

Every company has data: revenue, expenses, sales, employee reports. Usually, all of this lives across dozens of Excel files, which are periodically sent to a manager — who then reports to leadership. With this approach, the full picture of the business is always delayed.

We used to make a system for one of clients that gathers all spreadsheets in one place, organizes them, and presents clear business analytics: charts, trends, and a breakdown of income and expenses.

And on top of that, we added AI. Now they can ask:
— “Why was profit higher in August than in July?”
…and get a precise explanation based on the company’s real data.

This is how data stops being “just a bunch of spreadsheets” and becomes a tool for fast, informed decisions.

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Computer Science and Programming

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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Computer Science and Programming

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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Computer Science and Programming

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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Computer Science and Programming

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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Computer Science and Programming

CSS has become too POWERFUL

Modern CSS has evolved beyond simple text-based workflows, with advanced features like OKLCH color spaces, complex gradients, timing functions, and path animations becoming difficult to write manually. Visual editors are emerging as essential tools for working with these powerful capabilities, making features more discoverable and encouraging experimentation. The shift toward visual tooling represents a natural evolution as CSS specifications expand faster than developers can keep up with traditional text-based approaches.

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Computer Science and Programming

The Force-Feeding of AI on an Unwilling Public

Major tech companies are forcing AI integration into essential software and services without user consent, despite only 8% of people willing to pay for AI voluntarily. Companies like Microsoft and Google bundle AI into existing products to hide losses and create artificial adoption metrics. This forced implementation affects email, search, office software, and customer service, making it nearly impossible for users to avoid AI. The author argues this represents a form of technological tyranny that requires legal intervention through transparency, opt-in requirements, and liability laws.

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Computer Science and Programming

Unmasking a hidden singleton

A load test on monday.com's AI Reports feature revealed a critical race condition caused by a hidden singleton pattern. When multiple users simultaneously generated reports, a WorkdocsAPIService registered as a singleton shared mutable state across concurrent requests, causing workdoc IDs to override each other and trigger 400 errors. The bug remained undetected in production due to low adoption rates and high pod count, which minimized collision probability. The investigation traced through multiple hypotheses before discovering the singleton registration issue, highlighting the importance of load testing, end-to-end concurrent testing, and preferring stateless class designs in asynchronous environments.

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Computer Science and Programming

Why we migrated from Python to Node.js

A startup rewrote their backend from Python/Django to Node.js/Express one week after launch due to Python's async limitations. The team struggled with Django's incomplete async support, colored functions problem, and the need for constant sync/async conversions. Despite losing Django's ergonomic ORM, they gained 3x throughput, unified their codebase with their existing Node worker service, and improved code maintainability. The three-day migration was driven by concerns about scalability and code quality rather than immediate load issues.

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Computer Science and Programming

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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Computer Science and Programming

Pikaday

Most forms don't need JavaScript date pickers. Native HTML date/time inputs handle accessibility, performance, and internationalization automatically. For better usability, consider separate inputs for day/month/year, select dropdowns for limited options, or masked inputs with validation. Complex calendar widgets lead to more errors and accessibility issues. Keep forms simple by using native browser features and basic HTML elements that are easier to use and test.

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Computer Science and Programming

#promo

Tune in to the 10th AI Journey 2025 international conference: scientists, visionaries, and global AI practitioners will come together on one stage. Here, you will hear the voices of those who don't just believe in the future—they are creating it!

Speakers include visionaries Kai-Fu Lee and Chen Qufan, as well as dozens of global AI gurus! Do you agree with their predictions about AI?

On the first day of the conference, November 19, we will talk about how AI is already being used in various areas of life, helping to unlock human potential for the future and changing creative industries, and what impact it has on humans and on a sustainable future.

On November 20, we will focus on the role of AI in business and economic development and present technologies that will help businesses and developers be more effective by unlocking human potential.

On November 21, we will talk about how engineers and scientists are making scientific and technological breakthroughs and creating the future today! The day's program includes presentations by scientists from around the world:
- Ajit Abraham (Sai University, India) will present on “Generative AI in Healthcare”
- Nebojša Bačanin Džakula (Singidunum University, Serbia) will talk about the latest advances in bio-inspired metaheuristics
- AIexandre Ferreira Ramos (University of São Paulo, Brazil) will present his work on using thermodynamic models to study the regulatory logic of transcriptional control at the DNA level
- Anderson Rocha (University of Campinas, Brazil) will give a presentation entitled “AI in the New Era: From Basics to Trends, Opportunities, and Global Cooperation”.

And in the special AIJ Junior track, we will talk about how AI helps us learn, create and ride the wave with AI.

The day will conclude with an award ceremony for the winners of the AI Challenge for aspiring data scientists and the AIJ Contest for experienced AI specialists. The results of an open selection of AIJ Science research papers will be announced.

Ride the wave with AI into the future!

Tune in to the AI Journey webcast on November 19-21.

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Computer Science and Programming

With @Argo, exploring Telegram is easy! Just type a keyword—like “Game” or “Crypto”—and instantly find groups, channels, videos, audios, pics and more. Give it a try!

👉@Argo

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Computer Science and Programming

Appwrite Sites now offers unlimited sites on the free plan

Appwrite Sites now supports unlimited sites per project on the free plan, removing the previous one-site limitation that was in place during early access for stability testing. Developers can now deploy multiple test environments, staging sites, and production apps within a single project, with automatic handling of builds, SSL, DDoS protection, and CDN distribution. This update enables flexible workflows for managing everything from micro frontends to documentation pages without requiring plan upgrades.

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Computer Science and Programming

apple/pico-banana-400k

Apple released Pico-Banana-400K, a dataset containing approximately 400,000 text-image-edit triplets for training text-guided image editing models. The dataset includes 257K single-turn examples, 56K preference learning samples, and 72K multi-turn conversations, covering 35 edit operations across 8 semantic categories. Built using Gemini-2.5-Flash for instruction generation and the Nano-Banana model for editing, each edit undergoes automated quality evaluation. Source images come from Open Images, with edits spanning object manipulation, scene composition, stylistic changes, and photometric adjustments. The dataset is available under CC BY-NC-ND 4.0 license for non-commercial research use.

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Computer Science and Programming

Flink is a 95% problem

Apache Flink is marketed as essential for real-time data processing, but it's overkill for 95% of use cases. Most real-time problems can be solved with simpler solutions: HTTP services with Postgres (65%), OLAP databases like ClickHouse (25%), or custom solutions (5%). Only about 5% of companies actually need Flink's complexity. The platform introduces massive operational overhead including new APIs to learn, additional infrastructure (Kafka, ZooKeeper/K8s), 700+ configuration parameters, complex observability requirements, and JVM dependency. Even Flink's creators acknowledge its limitations, and recent acquisitions of Flink-based companies suggest limited market traction. For most organizations under 100 developers, simpler alternatives like ClickHouse with SQL or native programming language Kafka consumers provide better cost-benefit tradeoffs without the engineering complexity.

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