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Dev

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This Week In React #236 : Remix, TanStack, RSC | ExecuTorch, Screens, FlashList, Reanimated, Expo, EAS, Radon...

  • Remix announced big news with Microsoft making it easier to try out TypeScript Go rewriting.
  • React Native saw minor releases, with the App.js config starting soon.
  • Remix v3 plan includes using Preact for a new framework, aiming to reimagine web frameworks.
  • Articles cover topics like TanStack Router features, server and client component composition, React meta-frameworks, SolidJS, and more.
  • Next.js 15 and React 19 developments, Docusaurus 3.8, Storybook 9.0, TanStack Query v5.77 updates were highlighted.
  • React-Native updates include EAS Workflows, Expo changes, RN ExecuTorch 0.4.0, RN Screens 4.11, Radon IDE 1.7, Reanimated 4.0.0-beta.4.
  • Microsoft announced TypeScript Go rewrite previews, msw creator's advice on testing, ESLint v9 retrospective, and more in the Other section.
  • Firefox 139 introduced Temporal API support, JSPM 4.0 for import map package management, and Angular 20.0 updates in package management.
  • Various articles covering JavaScript history, tool transitions, and browser updates were mentioned.
  • Overall, the week in React brought significant developments and insights across frameworks, tools, and platforms.
  • Subscribe to the newsletter for weekly updates and stay informed about the latest in the React ecosystem.

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🦸 Hero: WASM-Ready Hero Section Components

  • Hero is a zero-to-hero crate for creating customizable hero sections in Rust's favorite WASM UI frameworks like Yew, Leptos, and Dioxus.
  • It offers drop-in components for building landing pages, showcasing products, and enhancing Rust apps with minimal effort and high customization options.
  • Hero is lightweight, responsive by default, theme-agnostic, and framework-agnostic, ensuring ease of use and flexibility in design.
  • It provides seamless integration with Yew, Leptos, and Dioxus, allowing developers to create visually appealing hero sections with just a few lines of code.
  • Developers can customize hero sections using various styling options such as Tailwind, inline styles, or CSS frameworks, making it versatile and adaptable to different design preferences.
  • Each Hero component exposes props for content, styling, classes, and accessibility, empowering developers to have full control over the appearance and functionality of their hero sections.
  • Key features of Hero include multiple layout variants, theming support, seamless integration with Rust frameworks, easy customization, and support for custom components like tabs and buttons.
  • Hero aims to provide a powerful yet user-friendly solution for creating impressive first impressions on websites or applications, offering flexibility, responsiveness, and aesthetic appeal.
  • The tool caters to different screen sizes, offers customization options, allows easy integration of content, provides styling freedom, and works seamlessly with various WASM frameworks.
  • In conclusion, Hero is a valuable asset for frontend development in Rust, promising to enhance the look and feel of web projects while maintaining compatibility with different tech stacks and design preferences.

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Medium

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Title: Why Most People Fail to Build Habits — and How to Fix It

  • Research shows that over 80% of people fail to stick with new habits due to relying on motivation, starting too big, lacking a reward loop, and not shifting their identity.
  • Habits are not built on motivation but on systems. Design your environment to reduce friction and make the habit easier to do than not to do.
  • To avoid burnout, start small with habits. Success is more likely if you start with tiny changes and make success inevitable.
  • Celebrate instantly and create a reward loop to make habits feel rewarding. Shift your identity to align with the habits you want to build.

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Feature-Driven Development with TypeScript, Express, and Zod: A Modern Approach to API Development…

  • Feature-Driven Development (FDD) with TypeScript, Express, and Zod is a game-changing approach for building backend APIs.
  • The approach emphasizes a minimalist project structure making API development more modular, type-safe, validated, and testable.
  • FDD organizes the codebase around business features, focusing on grouping files by the feature they implement rather than technical roles like controllers and models.

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Medium

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Debugging: AKA Playing Hide and Seek With My Mistakes

  • Debugging is an essential process for every programmer, often turning into a challenging game of finding elusive bugs.
  • The stages of debugging are described as denial, anger, bargaining, depression, and acceptance.
  • Strategies like explaining code to inanimate objects, placing print statements, and taking breaks are advised to tackle bugs effectively.
  • Despite the frustration bugs bring, the process of debugging helps in improving problem-solving skills and refining mental models for programmers.

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Why I choose Go over Node

  • As a Node.js developer, it can be challenging to admit that Node is not ideal for complex multithreading applications due to its single-threaded nature.
  • The limitations of Node.js were highlighted in a scenario where the developer needed to synchronize databases with strict API request limits, leading to issues with maintaining 24/7 synchronization.
  • In contrast, Go showcased its strength in handling multithreading tasks with built-in support for background jobs running on multiple threads, enabling the developer to handle a large number of jobs seamlessly.
  • However, despite Go's advantages in multithreading capabilities, the developer noted the challenge of limited community support in niche areas compared to Node.js.

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PlanetPython

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Talk Python to Me: #508: Program Your Own Computer with Python

  • Episode #508 of Talk Python to Me features Glyph discussing the concept of programming your computer with Python.
  • The episode explores using various tools and frameworks to integrate with platform APIs like macOS's BrowserKit and Windows' COM APIs to build more productive desktop apps.
  • Some of the links mentioned in the show include Glyph's Mastodon and GitHub profiles, Notify Py, Rumps, QuickMacHotkey, QuickMacApp, LM Studio, Coolify, PyWin32, WinRT, PyObjC, PyObjC Documentation, and a link to watch the episode on YouTube.
  • Listeners can stay connected with Talk Python through YouTube, Bluesky, and Mastodon, as well as follow Michael Kennedy on Bluesky and Mastodon.

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Hackernoon

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AI Agents for Beginners: Building Your First AI Agent

  • AI agents are revolutionizing software interactions by enabling autonomous decision-making and dynamic actions.
  • This article guides beginners in building their first AI agent using OpenAI SDK for a stock information agent.
  • A true AI agent is characterized by autonomy, dynamic decision-making, and the ability to adapt to ambiguous queries.
  • The agent created in the tutorial fetches real-time stock prices, identifies CEOs, and handles ambiguous queries efficiently.
  • Prerequisites include Python 3.7+, an OpenAI API key, and basic Python knowledge for building the agent.
  • Tools like stock price fetcher, CEO finder, ticker symbol identifier, and clarification tool are developed for agent's functionality.
  • The agent's decision-making loop processes user queries autonomously, choosing tools, asking for clarification, and handling errors gracefully.
  • The article emphasizes clear tool descriptions, error handling, conversation context maintenance, user transparency, and starting simple for successful agent development.
  • The agent's modular design allows easy extensions for adding capabilities like market analysis and news integration.
  • By following the provided steps, beginners can build a functional AI agent that can interact effectively with users in various scenarios.

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The Pragmatic Engineer

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The Pulse #136: Cloudflare builds OAuth framework mostly with Claude

  • Cloudflare software engineer built a production-grade OAuth library in five days with AI assistance from Claude.
  • Meta is trialing onsite interviews, AI agents accessing the web pose security risks, Apple Tax no longer applies to US web payments, Reddit sues Anthropic, and AI startup Builder.ai under scrutiny for faked product and revenue.
  • AI engineers are now offered higher base salaries by top US AI startups and EU counterparts, surpassing traditional Senior Director of Engineering roles.
  • Morgan Stanley employs AI with ChatGPT for rewriting legacy COBOL code, revealing potential in using LLMs to interpret and explain complex legacy codebases.

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Medium

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Vibe Coding: The Future of Programming or Just a Fad?

  • Vibe coding is gaining popularity in the software development community, offering a new way to collaborate with AI for coding solutions.
  • It involves working with AI as a partner to nudge the process towards the desired solution, akin to pair programming.
  • Tools like Cursor, Devin, GitHub Copilot Chat, Replit, Lovable, Bolt, and Vercel are at the forefront of this AI-assisted coding trend, enabling developers to streamline their workflows.
  • While vibe coding has shown promise in speeding up development processes, it is not poised to replace the need for human understanding and expertise in product development and system design.

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esProc SPL: Equivalent to the Python-enhanced DuckDB

  • esProc SPL is an 'all-in-one toolbox' with built-in Python capabilities, offering excellent support for file handling and data binarization with superior speed compared to reading CSV directly.
  • While esProc does not support window functions in SQL, it provides a simpler alternative with its native language, SPL, making complex tasks easier to handle without cumbersome queries.
  • esProc SPL excels in flow control operations and complex calculations that SQL may struggle with. It offers comprehensive computing capabilities and robust flow control mechanisms, outperforming Python-enhanced DuckDB in certain scenarios.
  • Compared to the fragmented approach of combining SQL and Python in DuckDB, esProc SPL integrates core Python capabilities directly for a more seamless desktop data analysis experience.

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Medium

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What Coding Taught Me About Life

  • Coding taught the writer that technology is about humans solving problems with logic.
  • Coding concepts like recursion and error handling have parallels in real life situations.
  • Learning to let go of things, be it in programming or life, is important for personal growth.
  • Recognizing and breaking free from toxic patterns is crucial for personal healing and growth.

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Angular Monorepo Library and Use It Locally

  • The article discusses the setup for arranging a workspace for developing libraries in an Angular monorepo.
  • Instead of using 'npm link', the approach involves adding the library as a dependency in package.json with 'npm install'.
  • The workspace will contain both the library and project, with the library requiring an entry point and components, services, etc., exported in public-api.ts.
  • By building the library locally with '--watch', developers can see changes reflect in the application automatically, aiding in real-time testing before publishing the library.

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The Unavoidable Reality of Software Bugs

  • Software bugs are an unavoidable reality in programming due to human errors, complex systems, and reliance on external components.
  • While AI can assist in identifying syntax issues and suggesting code improvements, it is not foolproof and may miss critical issues like vulnerabilities in third-party libraries.
  • The addition of new features often leads to increased complexity, making it challenging to foresee all potential issues, especially those arising from real user interactions.
  • Although tests are essential for reducing risks, they cannot catch every bug, highlighting the importance of real-world testing and user feedback in ensuring software reliability.

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RAG: Why Your LLM Needs a Reality Check (and How to Fix It)

  • LLMs like GPT-4 lack real-time data context, leading to inaccuracies in responses.
  • RAG (Retrieval-Augmented Generation) bridges the gap between LLMs and real-world accuracy.
  • RAG uses relevant data to enhance LLM responses and reduce fabrications by 60-80%.
  • RAG is ideal for domain-specific accuracy and situations with constantly changing data.

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