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Computer Science and Programming

Full-Stack React.js Chat with AI SDK

Learn how to build a full-stack React.js chat application using Vercel's AI SDK. This tutorial simplifies the process of creating chat UIs by abstracting complex tasks such as decoding text streams and managing state. It provides step-by-step instructions on installing and configuring the AI SDK, replacing manual API routes with streamlined one-liners, and using the useChat hook for front-end development. Enhance your coding efficiency and maintainability while keeping all essential functionalities intact.

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Computer Science and Programming

Zyedidia/Literate: A literate programming tool for any language

Literate is a modern literate programming tool that allows developers to write programs as narrative documents with embedded code blocks. It supports any programming language, uses Markdown syntax for easy readability, generates both executable code and HTML documentation, and includes features like syntax highlighting, error reporting, and automatic hyperlink generation between code sections.

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Computer Science and Programming

Neodrag: One draggable to rule them all

Neodrag is a multi-framework JavaScript library that provides drag-and-drop functionality across React, Svelte, Vue, SolidJS, and vanilla JavaScript. It features a small bundle size (3.46KB), server-side rendering compatibility, TypeScript support, and consistent behavior across all supported frameworks through shared core logic.

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Computer Science and Programming

Functions are Vectors

Functions can be conceptualized as infinite-dimensional vectors, enabling the application of linear algebra tools to diverse problems. This perspective allows treating differentiation and the Laplacian as linear operators that can be diagonalized using eigenfunctions. The Fourier transform emerges as a change of basis into the Laplacian's eigenbasis, with practical applications in image compression, signal processing, and geometry processing. The approach extends to spherical harmonics for functions on spheres and discrete differential geometry for mesh processing.

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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

The 5 Layers of Software Explained

Software applications are built using five essential layers: UI, API, Logic, Database, and Hosting. Each layer has its distinct role, from enabling user interactions to ensuring data management and scalability. Understanding these layers helps developers create software that is efficient, secure, and user-friendly.

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Computer Science and Programming

Train your AI self, amplify you, bridge the world

Second Me by Mindverse offers a unique take on AI, allowing users to create their own AI personas that reflect their identity, interests, and contexts. This AI is locally trained and hosted but can connect globally, thus ensuring privacy and control. The setup involves Docker and Python environments, and contributions are encouraged to enhance future AI developments.

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Computer Science and Programming

Poor man's Backend-as-a-Service (BaaS), similar to Firebase/Supabase/Pocketbase

Pennybase is a minimalist Backend-as-a-Service implementation in under 1000 lines of Go code with zero external dependencies. It provides file-based CSV storage, REST API endpoints, authentication with session cookies, role-based access control, real-time updates via Server-Sent Events, and template rendering. Data is stored in human-readable CSV files with append-only versioning, making it suitable for simple applications that need basic backend functionality without the complexity of larger solutions like Firebase or Supabase.

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Computer Science and Programming

Self-hosting

Self-hosting offers developers a unique opportunity to gain in-depth knowledge of software operations beyond basic development tasks. It involves learning about networking, system administration, security, and DevOps. Engaging in self-hosting can build confidence, improve problem-solving skills, and open up career opportunities in cloud infrastructure. The post encourages developers to start small with easy-to-manage services, emphasizing the educational value of practical experience.

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Computer Science and Programming

How to Learn Backend Development?

Backend development involves understanding the differences between backend and frontend, choosing appropriate programming languages (Java, Python, JS, Go, Rust, C#), working with various types of databases (SQL, NoSQL, NewSQL), learning about different API types (REST, GraphQL, gRPC, SOAP) and authentication methods (JWT, OAuth2, API keys). Additionally, it includes knowledge of server hosting services, containerization, server setup, and DevOps practices including CI/CD pipelines, IaC, and monitoring tools.

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Computer Science and Programming

Scrappy

Scrappy is a prototype tool designed for creating home-made apps, allowing users to craft personalized software for themselves and friends. It empowers the DIYer to create apps tailored to specific needs without extensive programming expertise. Scrappy provides a canvas-based environment similar to Figma, where users can incorporate interactive elements and share apps effortlessly, promoting collaboration. The tool aims to democratize software creation, fostering creativity and custom solutions beyond mass-market offerings.

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Computer Science and Programming

Scroll-driven camera animation

Explore how to create scroll-driven camera animations in a web scene using three.js and GSAP. The technique involves using the intersection observer to adjust camera positions as different sections come into view. Quaternions are utilized for smooth camera rotations, preventing issues like gimbal lock. The setup allows developers to easily configure desired positions with a GUI and handles the transitions using GSAP for animation.

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Computer Science and Programming

Sam Altman claims an average ChatGPT query uses ‘roughly one fifteenth of a teaspoon’ of water

OpenAI CEO Sam Altman claims that an average ChatGPT query consumes approximately 0.34 watt-hours of energy and 0.000085 gallons of water (roughly one-fifteenth of a teaspoon). These unsourced statistics were shared in a blog post about AI's future impact. The claims come amid growing scrutiny over AI's environmental costs, with researchers predicting AI could consume more power than Bitcoin mining by year-end. Previous studies have shown significant variation in AI energy consumption depending on data center location and specific use cases.

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Computer Science and Programming

Self Hosting Like Its 2025
This title could be clearer and more informative.

Self-hosting has become a popular alternative to using data-collecting services. The post discusses the benefits of self-hosting, highlights helpful yet lesser-known software, and provides insights into container runtimes like Docker, Podman, and Kubernetes. It also covers web-based tools for managing containers such as Portainer and Dockge, and discusses reverse proxy and VPN solutions like Pangolin and NetBird. Additionally, it references resources for finding more applications and tools to enhance the self-hosting experience.

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Computer Science and Programming

Making Sense of the AI Developer Tools Ecosystem

The AI developer tools landscape has evolved from simple autocomplete tools to a complex ecosystem encompassing intelligent assistants, autonomous agents, AI-powered IDEs, and rapid prototyping platforms. This post categorizes these tools based on their integration into the workflow, from general-purpose chatbots to fully AI-first environments. The capability and breadth of these tools are rapidly increasing, offering significant value in software development. The key categories include tools at an arm’s length, integrated AI within traditional IDEs, AI-first environments, and task-focused tools designed for specific use cases.

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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

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Computer Science and Programming

Open-Source Tools for Agents

Developing AI agents can be challenging with many outdated or overly complex tools. This post offers a curated list of effective open-source libraries for building robust AI agents in various tasks such as document parsing, voice interaction, and automation. Focus on choosing practical and well-maintained tools to streamline your development process.

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Computer Science and Programming

Overthinking GIS

A developer creates a custom terrain usability metric by processing USGS elevation data using Python and OpenCV. The approach involves calculating the Laplacian (second-order derivative) of elevation data to identify steep terrain, then using a sliding window to generate average steepness values for different areas. The solution effectively becomes a complex downsampling method to classify land as buildable or too steep based on topographic line density.

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Computer Science and Programming

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Computer Science and Programming

Meticulous

Meticulous provides auto-generated and self-maintaining visual frontend browser tests, eliminating issues such as debugging after merges and test maintenance. It records sessions across various environments and uses AI to curate an evolving test suite covering every line of code and user flow. Meticulous also offers side-effect-free testing by replaying recorded backend responses, simplifying the setup process.

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Computer Science and Programming

Free Public APIs for Developers

APIs enable efficient communication between software applications, boosting development speed and functionality. The post explains the types of APIs, their protocols, and their importance in web services. It also lists several free public APIs for developers, such as JSONPlaceholder, Unsplash API, Free Dictionary API, and more, highlighting their use cases and benefits.

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Computer Science and Programming

Opening up ‘Zero-Knowledge Proof’ technology to promote privacy in age assurance

Google has open sourced its Zero-Knowledge Proof (ZKP) libraries to enhance privacy in age verification systems. This technology allows age verification without revealing personal information, building on Google's partnership with Sparkasse to support EU age assurance requirements. The open source release enables developers to implement privacy-preserving age verification in their applications.

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Computer Science and Programming

Design for the AI age

AI and large language models are transforming design from predictable, structured interfaces to dynamic, conversational ones. Traditional UI principles are being challenged, necessitating new approaches to ensure high-quality user experiences. Designers must adapt by creating familiar structures that integrate AI capabilities

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Computer Science and Programming

Replace Windows, Not Your Device

With the end of Windows 10 support, users are encouraged to consider open-source alternatives like openSUSE instead of discarding functional hardware. Using Linux distributions can extend the life of devices, reduce electronic waste, and offer greater control over privacy and security without the need for new hardware.

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Computer Science and Programming

🟢 Hi everyone, from now on Computer Science is on WhatsApp too. Subscribe if you prefer reading news there 👇🏻👇🏻

https://whatsapp.com/channel/0029Vb6WuS94yltPj2RZuP11

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Computer Science and Programming

Omarchy is out

DHH has released Omarchy, a pre-configured Arch Linux distribution with Hyprland tiling window manager designed for developers. This opinionated setup provides an out-of-the-box developer environment that complements his Ubuntu-based Omakub project. While Arch Linux itself isn't overly difficult, Hyprland requires extensive manual configuration for basic features like lock screens and menus, which Omarchy addresses by providing everything pre-configured.

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Computer Science and Programming

Ratatui

Ratatui is a Rust library designed for creating terminal user interfaces. It's a lightweight alternative for developers interested in deploying applications in constrained environments. The website offers a range of resources from beginner guides to advanced development patterns, installation instructions, and showcases examples of community-built applications.

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Computer Science and Programming

The Best Programmers I Know

To be an exceptional programmer, one should prioritize reading documentation, deeply understanding tools, and attentively reading error messages. Effective problem breakdown, seeking hands-on experiences, helping others, continually learning, and valuing clear communication are all vital. Building a reputation through consistent good work, exercising patience, avoiding baseless guessing, and keeping code simple also contribute to being among the best engineers.

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Computer Science and Programming

MUVERA: Making multi-vector retrieval as fast as single-vector search

Google Research introduces MUVERA, a novel algorithm that transforms complex multi-vector retrieval into efficient single-vector maximum inner product search. The approach uses Fixed Dimensional Encodings (FDEs) to compress multi-vector sets into single vectors while preserving similarity relationships. MUVERA achieves 10% higher recall than existing methods with 90% reduced latency, making multi-vector retrieval practical for large-scale applications like search engines and recommendation systems.

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