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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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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#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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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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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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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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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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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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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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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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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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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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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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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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#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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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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