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Fueled

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WordPress Launches AI Team With Google, Automattic, and Fueled Leaders

WordPress has launched a new AI Team with representatives from Google, Automattic, and Fueled to integrate artificial intelligence into the WordPress ecosystem through practical tools and features.
The AI Team aims to define a roadmap for supporting AI-powered capabilities in WordPress through official, community-backed plugins and frameworks, rather than directly embedding AI into the core.
The initiative signifies WordPress taking proactive steps to integrate AI into its platform, aligning with its core values of openness, user ownership, and community collaboration.
The team's experience with the ClassifAI AI plugin for WordPress will inform their contributions to the AI initiative, focusing on delivering enterprise-grade solutions and advancing AI capabilities within WordPress.

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Medium

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I Got A Free Cloud Server for Life

Oracle Cloud's Always Free Tier allows users to run a cloud server with 4 CPUs, 24 GB RAM, and 200 GB storage for free, forever.
Unlike other cloud providers with free trials that expire after a year, Oracle Cloud's offering does not have any time limit or hidden fees.
This free cloud server can be used for various purposes such as hosting websites, running game servers, or developing backend systems for applications.
Oracle Cloud's generous free tier provides a reliable server that exceeds the limitations of free tiers offered by other major cloud providers.

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Medium

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Binary Tree : 6 Core Problems with Intuition & Optimized Code

Binary Trees are crucial in computing and mastering them is essential for tech interviews at top companies like Google, Amazon, and Microsoft.
Understanding recursive thinking, depth-first search, and optimal tree traversals is key in solving classic binary tree problems.
Height of a binary tree is calculated recursively by finding the maximum depth from root to leaf nodes.
A height-balanced binary tree ensures that the height difference between left and right subtrees of every node is at most 1 for better performance.
Calculating diameter in a binary tree involves finding the longest path between any two nodes, which may or may not pass through the root.
Finding the maximum path sum in a binary tree involves considering all possible paths for each node and recursively combining the results.
Checking for identical binary trees involves traversing both simultaneously and comparing node pairs.
Zig Zag or Spiral Level Order Traversal is a unique way of traversing a binary tree with alternating left to right and right to left movements.
Optimizing Zig Zag traversal by using two stacks helps maintain the zig-zag pattern without needing to reverse elements.
Mastering binary trees goes beyond mere coding skills and involves recursive thinking and understanding traversal patterns.

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Dev

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What is Multimodal AI

Multimodal AI is a significant breakthrough in artificial intelligence, allowing systems to process and generate content across various media forms seamlessly.
Unlike traditional AI models, multimodal AI processes multiple types of input data simultaneously, creating a holistic understanding of information.
Multimodal AI systems have evolved from single-modal AI to integrated systems across text, images, audio, and video, offering seamless integration and content generation.
Key components of multimodal AI include unified representation spaces, cross-modal attention mechanisms, multi-task learning, and foundation models with multimodal capabilities.
Leading multimodal AI systems in 2025 include GPT-4.5 Omni, Google Gemini 2.0, Anthropic Claude Opus, and Meta's Llama Vision.
Practical applications of multimodal AI span industries like healthcare, e-commerce, content creation, education, and accessibility, transforming how businesses operate and serve customers.
Developers can integrate multimodal AI through API-based services, open-source models, and multimodal frameworks, with challenges including computational requirements, alignment across modalities, ethical considerations, and biases.
Future trends in multimodal AI include increased efficiency, enhanced reasoning capabilities, real-time multimodal interaction, and domain specialization for specific industries or applications.
Multimodal AI redefines how AI systems perceive and interact with the world, opening up new possibilities for developers to create more natural and powerful AI experiences.
The future of multimodal AI promises to transform technology interaction, offering more personalized and efficient solutions for various domains.

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Logrocket

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When to use Flexbox and when to use CSS Grid

CSS Flexbox and CSS Grid are two powerful layout systems built into CSS that have replaced older techniques like floats and clearfixes.
Flexbox is ideal for one-dimensional layouts, such as aligning and spacing items in a row or column, making it suitable for UI components and small-scale layouts.
On the other hand, CSS Grid is designed for two-dimensional layouts, making it perfect for full-page structures and more complex designs.
Using a combination of Flexbox and Grid can result in cleaner, more scalable CSS layouts.
Flexbox simplifies arranging items in rows or columns within a container, eliminating the need for positioning hacks.
CSS Grid offers precise control over both rows and columns simultaneously, allowing for complex, organized layouts without relying on old CSS tricks.
Both Flexbox and Grid provide key alignment properties like justify-content, align-content, align-items, align-self, making layout control easier.
CSS Grid is more suitable for complex designs, layouts requiring gaps between elements, or overlapping elements, while Flexbox is preferable for alignment tasks and content-first design.
Flexbox is recommended for small layouts, element alignment, and content-first design choices; CSS Grid is better for complex designs, gaps between elements, and layout-first design.
Understanding when to use Flexbox for alignment and Grid for layout helps in creating well-built web layouts that are responsive and maintainable.

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The Pragmatic Engineer

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Vibe Coding as a software engineer

The term “vibe coding” is gaining traction in the software engineering community, popularized by computer scientist Andrej Karpathy.
Vibe coding involves letting AI generate code with minimal human intervention, primarily focusing on high-level goals.
Popular vibe coding tools include GitHub Copilot, Claude Code, and ChatGPT, aiding developers in code generation.
Use cases for vibe coding include prototyping, brainstorming, and improving development tools.
Vibe coding is not recommended for production-ready code due to potential security, performance, and cost issues.
AI advancements are making Large Language Models (LLMs) more proficient in coding, enhancing prototyping speed.
Vibe coding is differentiated from AI-assisted coding, where the former involves minimal code review and letting the AI do most of the work.
Vibe coding tools such as GitHub Copilot, Claude Code, and ChatGPT are prominent in the developer community.
Vibe coding is often utilized for prototyping and UI design, leveraging AI for faster development processes.
Various tools and platforms like GitHub Copilot, Claude Code, and ChatGPT aid in code generation through AI assistance.
Fullstack web platforms like Lovable, Vercel, and Replit offer solutions for rapid prototyping and fullstack app development.

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Javacodegeeks

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Platform Engineering with Backstage: Build Your Internal Developer Portal

Platform engineering has become essential in software organizations to enhance developer productivity and streamline workflows, with tools like Backstage from Spotify gaining popularity.
Backstage addresses the challenge of scattered documentation and resources by offering a centralized portal with automation capabilities.
The platform's customizable UI allows teams to publish services, manage APIs, and centralize documentation while incorporating automation workflows.
Backstage's plugin architecture enables organizations to tailor the portal to their specific needs, such as tracking tech debt or monitoring service health.
The platform's component diagram illustrates interactions, showcasing how developers engage with the frontend UI and backend through various plugins.
Backstage automates onboarding processes with checklists, internal tool access, and notifications, reducing ramp-up time for new developers.
Documentation is emphasized within Backstage, integrated with tools like TechDocs for version-controlled, searchable wiki integrated into the portal.
Backstage's scaffolder plugin simplifies project initiation with templates for different tech stacks, ensuring consistent architecture and best practices.
The platform has garnered praise for extensibility and open-source nature, offering a scalable solution for organizations grappling with fragmented tooling.
Backstage transforms internal tooling, streamlines onboarding, and ensures consistent documentation, making it a valuable platform for enhancing developer experience.

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PlanetPython

137

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Mirek D��ugosz: Interesting bugs: Artifact building failure caused by GitHub API rate��limits

A memorable bug encountered at work involved GitHub API rate limits causing artifact building failure in a Jenkins pipeline.
The bug surfaced issues not visible in local development and showcased the value of broad knowledge in troubleshooting.
The pipeline step aimed to build a container image from code versions with proposed changes in a standard web app architecture setup.
GitHub API requests for extracting the newest frontend version led to HTTP status 429 errors due to rate limits, despite small team activity.
Investigation revealed different rate limits for authenticated users, prompting a hypothesis on shared IP addresses in the company.
Updating API requests with authentication tokens increased the rate limit from 60 to 5000 per hour, resolving the rate limit issue.
Challenges in passing the token through multiple layers in the container build environment led to implementing secret mounting for security.
This solution ensured pipeline success without API rate limit errors, providing a correct resolution to the artifact building problem.

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Logrocket

168

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Using CSS breakpoints for fluid, future-proof layouts

CSS breakpoints are crucial for creating responsive web layouts that adjust dynamically to different screen sizes based on viewport widths.
Modern breakpoints focus on content-driven thresholds rather than fixed device widths, emphasizing fluid layouts and new CSS features like container queries for future-proof designs.
Responsive design, introduced by Ethan Marcotte, uses fluid grids and media queries to adapt styles based on viewport characteristics, replacing the need for separate desktop and mobile versions of websites.
Breakpoints are specific viewport widths at which a site's layout shifts, with common ones like 768px distinguishing tablet from desktop layouts.
Modern CSS tools like Flexbox and Grid support responsiveness, while newer features like clamp() and container queries offer more dynamic control over layouts.
Choosing breakpoints involves considering either device-based breakpoints or content-based breakpoints that adapt the design where content adjustment is needed.
Popular CSS frameworks like Bootstrap and Tailwind have default breakpoints for different screen sizes, offering predefined classes for creating responsive layouts.
Best practices for creating CSS breakpoints include starting with a mobile-first approach, avoiding awkward breakpoint ranges, and wisely using media and container queries.
Testing responsive breakpoints can be done using browser tools like Chrome DevTools or cloud-based testing tools to ensure consistent design across devices.
Emerging techniques like fluid design and tools like Utopia promote proportional and fluid scaling without the need for fixed breakpoints, enhancing adaptability and design consistency.

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Logrocket

415

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How to use Relume AI to design wireframes fast-er

Relume AI is an AI-powered tool that helps designers create wireframes quickly.
It assists in generating sitemaps, building wireframes, and exporting to Figma.
Relume is ideal for those looking to bypass a blank canvas or in need of layout ideas.
It is best suited for users familiar with designing templates and using prompts effectively.
The tool may not be suitable for those with clear layouts based on research or who prefer hands-on sketching.
Traditional wireframing involves manual building, while AI wireframing is faster and generated based on input.
Relume offers free and premium plans for users, enabling them to access advanced features for complex projects.
The tool allows users to create projects, generate sitemaps, edit wireframes, and export them to Figma seamlessly.
AI wireframing tips include providing detailed prompts, treating AI wireframes as drafts, and adding personal touches.
Relume offers a quick and structured wireframing solution but may sometimes produce generic layouts.

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Hackaday

429

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Simulation and Motion Planning for 6DOF Robotic Arm

Leo Goldstien shared an update on Hackaday.io about his 3D printed 6DOF robotic arm named ManiPylator.
The update covers the command and control aspects, simulation, and testing involved in operating the robotic arm.
The project is based on free and open-source software, utilizing planning and simulation software with MQTT message queues.
The robotic arm successfully traced out the shape of a heart based on a mathematical equation expressed in Python code, demonstrating its capabilities.

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Logrocket

353

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React forwardRef explained: Usage, alternatives, and React 19 update

forwardRef is a React utility that lets a parent component pass a ref through a child component to access the child’s DOM node or instance directly.
It enables direct interaction between parent and child components, especially when dealing with higher-order components or wrapper components.
Refs in React allow access and interaction with DOM elements directly, bypassing typical data flow and enabling actions beyond props and state.
Common use cases for refs include managing focus, text selection, media playback, triggering animations, integration with third-party DOM libraries, and measuring element dimensions.
While powerful, refs should be used sparingly to maintain code clarity and readability, favoring props and state for data flow.
Creating and attaching refs in class components involves using createRef to create a ref and associating it with a DOM element for direct manipulation.
In functional components, refs cannot be attached directly, but forwardRef allows for ref forwarding, enabling parent components to interact with child components' DOM elements.
useImperativeHandle works with forwardRef to customize instance values exposed when using refs, providing more control and functionality.
Refs should not be used unnecessarily in React, especially for unnecessary DOM manipulation, accessing internal states of child components, or replacing controlled components.
Choose between forwardRef, useRef, callback refs, React Context, and useImperativeHandle based on the component hierarchy and the need for direct DOM access.

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Javacodegeeks

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JMeter Session Cookie Management Example

When testing web applications using Apache JMeter, handling session cookies is vital for simulating real-world user behavior—especially in login/logout scenarios.
Apache JMeter uses the HTTP Cookie Manager to store and resend cookies automatically, mimicking browser-like session behavior.
The setup of a JMeter test plan involves adding Thread Group, HTTP Request Defaults, HTTP Cookie Manager, login request, protected page request, logout request, and listeners.
Managing sessions with cookies is crucial for accurate performance testing, and JMeter's HTTP Cookie Manager simplifies this process by handling cookies across requests.

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Logrocket

225

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How to use the useEffect hook in React: A complete guide

useEffect enables handling side effects directly inside functional components in React, from data fetching to DOM manipulation.
This guide aims to clarify the core concepts behind useEffect, covering real-world lessons and effective usage patterns.
Basic usage of useEffect involves running code once when the component mounts: useEffect(() => { // Code to run once }, []);
useEffect in React is for handling effects like fetching data or DOM manipulation and differs significantly from class-based lifecycle methods.
Understanding basic JavaScript concepts is crucial when using useEffect to avoid problems with outdated props or state values.
Key points include defining effects clearly, controlling dependencies, adding cleanup logic, avoiding unnecessary effects, and keeping effects efficient.
useEffect is commonly used for asynchronous tasks like data fetching, allowing components to manage actions after mounting.
Effects run after rendering and update in React, providing asynchronous behavior without blocking the UI.
Advice for seasoned React developers includes transitioning from class-based components to functional components with Hooks.
The control flow of effects in React includes initial render/mounting, subsequent renders, cleanup function execution, and unmounting.

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RealPython

221

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Execute Your Python Scripts With a Shebang

Shebang line (#!) in shell scripts specifies the path to the interpreter to execute the file.
It allows running Python scripts directly without explicitly calling the Python interpreter.
Include shebang for scripts requiring direct execution but not for import-only modules.
Best practices involve using /usr/bin/env for portability and ensuring script executability.

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