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Building a Tab Component with Tailwind CSS and React

Tabs are a common UI pattern for switching between different views or content areas.
Benefits of using tabs include organizing related content, enhancing usability, and avoiding unnecessary page reloads or routing.
Components for building a tab component using React and Tailwind CSS include Tabs, TabList, Tab, TabPanels, and TabPanel.
Tabs.js file contains the functional components for managing tabs and their corresponding functionalities.
Example usage demonstrates how to implement tabs in an application with different sections like Overview, Pricing, and Reviews.
Tailwind CSS styling tips include using specific utilities for animations and transitions to enhance the tab component's visual appeal.
Enhancements like adding keyboard support, animating tab panel content, lazy-loading content, and syncing tab state with URLs can further improve the tab component.
Building tab components with Tailwind CSS and React Context ensures modular, styled, and scalable code.
Reference provided for mastering Tailwind at scale to enhance the architecture, patterns, and performance of the tab component.
The approach suggested keeps UI logic clean, makes tabs accessible, and provides users with a seamless navigation experience.

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Copilots, Not Autopilots: Inside Microsoft’s Human-in-the-Loop AI Strategy

Microsoft adopts a 'human-in-the-loop' approach to AI development and use, emphasizing people as central to the process.
The company focuses on 'AI-enabled' tools rather than 'AI-powered' systems, framing AI as assisting rather than replacing humans.
This philosophy permeates Microsoft's strategy from the boardroom to product branding and policy discussions.
Microsoft's Vice Chair and President, Brad Smith, highlighted the empowering potential of AI in a recent U.S. Congress testimony.
The company considers AI a tool to enhance human capabilities rather than a standalone force.
The human-in-the-loop ethos guides Microsoft's approach to AI development and implementation.

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Medium

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Juris.JS: The Documentation Site That Breaks Every Rule (And Every Performance Record)

Juris.JS is a documentation site that challenges traditional web development rules and excels in performance.
It operates without JSX, compilation, or transpilation, using pure JavaScript objects for UI structure and native browser performance.
The site emphasizes reactive functions and static values, avoiding manual subscriptions, effect dependencies, and stale closures.
It ensures fine-grained updates to DOM properties when state changes, without the overhead of a virtual DOM.
Components in Juris.JS only track relevant state paths that execute, leading to efficient updates.
The documentation runs real code examples, showcasing immediate component functionality and update capabilities.
Juris.JS supports component-based development and progressive enhancement, making legacy code reactive without rewrites.
The documentation site implements concepts like routing, state persistence, mobile navigation, and performance tracking in a real application for inspection.
It highlights separating business logic from presentation and promotes a composition pattern for flexible UI structures.
By questioning traditional web development assumptions, Juris.JS demonstrates a future where complexity is eliminated, not managed.

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Medium

"Nobody Cares. Work Harder."

Life rewards outcomes, not just efforts. Build so strong that they can't ignore you.
Talent is overrated; obsession and relentlessness are key to success.
Discipline means working regardless of how you feel. High performers push through regardless of their emotions.
Your story is significant only when you turn it into something real. Transform your struggles into fuel for success.
There's no savior; success requires your focus, consistency, and mindset.
Tips for getting ahead: Build without seeking approval, be consistently dedicated, eliminate soft habits, and nurture your mental strength.
Ultimately, work harder as nobody cares about excuses. Success comes from being serious, focused, and dedicated.

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Medium

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Why Java Continues to Be a Top Programming Language in 2025

Java remains a cornerstone of software development in 2025, evolving to stay relevant.
New Java versions introduce features enhancing productivity and application performance.
Recent versions like Java 21 and 23 added virtual threads, simplified main classes, and more.
Java is ideal for scalable applications across industries, especially in finance and healthcare.
Learning Java first facilitates transitioning to other modern JVM languages like Kotlin.
Java skills are in demand for professionals at all experience levels.
Java's community support aids learning and career growth for developers.
Java's age-resistant value and long-term relevance make it a strong career foundation.
Consistent practice and building real-world projects are crucial for Java developers.
A program offers a job-focused path with mentorship and real projects for aspiring Java developers.
Strong fundamentals like Java create lasting careers amidst changing tech trends.

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Javacodegeeks

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Gatling vs JMeter: Choosing the Right Performance Testing Tool

Performance testing tools Gatling and JMeter are compared for choosing the right tool based on specific needs.
Key factors compared include architecture, resource usage, maximum users, and reporting capabilities.
Gatling is known for high-scale testing, developer-friendliness, CI/CD integration, and better reporting.
JMeter is recommended for GUI-based testing, broad protocol support, legacy systems, and extensive plugin ecosystem.
Real-world usage examples of load testing and API performance testing are provided for both tools.
Gatling excels in running on a single machine, using less memory, and generating reports automatically.
Conclusion suggests using both tools for different purposes in an organization based on specific requirements.
Consider JMeter for general-purpose testing and Gatling for high-performance web application testing.
Both tools offer robust performance testing capabilities at lower costs compared to commercial tools.
The final recommendation is to leverage the strengths of each tool in different testing scenarios.

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VC Cafe

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Vibe Coding: Fast, Powerful — But Not Flawless

Israeli startup Base44, founded by 31-year-old Maor Shlomo, was acquired by Wix for $80M six months after launch.
Base44, Shlomo's second startup, had over 250,000 users, was profitable ($189K profit in May), and focused on 'vibe coding' for software development.
Vibe coding, popularized by Andrej Karpathy, enables developers to describe outcomes in plain English for AI to generate code faster.
Vibe coding is ideal for rapid prototyping but doesn't replace entire software teams.
Opportunities for startups in vibe coding include empowering faster innovation, reducing costs, and creating accessible coding tools.
Challenges include the need for clear prompts, human oversight for code validation, and maintaining complex project context.
Experts warn about the unpredictability of AI-generated code, scalability issues, cost limitations, and challenges in compliance and documentation.
Despite challenges, AI-driven tools are set to transform software development, abstracting lower-level tasks for developers to focus on higher-level design and architecture.
Vibe coding tools and IDEs are advancing, but practicality, compliance, and scalability remain key concerns in the evolving landscape of automated coding.
Vibe coding signifies a shift in software development automation, paving the way for AI workflows across various aspects of development tools and practices.
While AI automation in software development poses challenges, it also promises to revolutionize coding processes and job roles within the industry.

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Medium

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Understanding .d.ts in TypeScript: The Secret Ingredient for Typing JavaScript Like a Pro

TypeScript relies on .d.ts files for typing JavaScript projects effectively.
.d.ts files act as guides for TypeScript in understanding the structure and types of JavaScript code.
Mastering .d.ts files is essential for integrating JavaScript libraries into TypeScript projects.
Using .d.ts files ensures type safety and helps in maintaining a scalable and error-free codebase.
.d.ts files provide TypeScript with the ability to type-check JavaScript code and enhance development workflows.
They are particularly valuable when working with untyped JavaScript libraries or legacy code.
Declaring variables, interfaces, and modules in .d.ts files helps in providing type information to TypeScript.
.d.ts files offer flexibility in modeling complex data structures and API contracts, improving code consistency.
Proper placement and documentation of .d.ts files are crucial for effective usage and maintainability.
Learning to write and use .d.ts files is akin to learning a new language's syntax and grammar.

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Medium

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How to Visually Debug Multi AI-Agent Flows

The dynamic nature of AI-agent systems makes it challenging to track and debug complex logic and interactions as the system scales.
AgentGraph is introduced as an open-source library that integrates with Python or Node.js backends to capture and visualize AI agent interactions and tool calls in real-time.
AgentGraph presents a visual interactive graph that provides clear visibility into system behavior, helping users understand complex flows.
The visualization provided by AgentGraph helps in understanding interactions, tool calls, and nested agent flows in a multi-agent system.
Implementing AgentGraph involves using unique session IDs for tracking conversation flow and defining tools using OpenAI's function calling format within LLM calls.
AgentGraph's callLLMWithToolHandling function wraps LLM calls, allowing for seamless tracking and visualization of tool interactions.
The tool implementations in AgentGraph receive specific parameters and offer insights into tool inputs, outputs, and chat histories.
AgentGraph handles interactions involving LLMs and non-LLM tools, providing comprehensive visibility into the entire conversation flow.
The integration of AgentGraph with AI agent systems offers real-time visualization, aiding in understanding, debugging, and optimizing AI workflows.
AgentGraph simplifies the visualization of multi-agent interactions, making decision flows transparent and aiding in debugging complex AI systems.
Key benefits of using AgentGraph include enhancing observability and transparency in AI workflow development, from simple tool-calling agents to elaborate multi-agent orchestration systems.
The AgentGraph repository is available for exploration and support, aiming to make AI development more transparent and accessible.

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Medium

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The Stack Trace of a Button Click

A button click triggers a complex sequence of events including synchronous processes, DOM changes, and state updates.
Each click initiates a series of actions across various layers such as the browser UI thread, render pipeline, JavaScript microtasks, backend queues, and database transactions.
The button click event fires synchronously on the main thread, executing any attached listeners which can impact the main thread.
Frameworks like React or Vue respond to state changes by triggering a render cycle and potentially using requestAnimationFrame.
The intricate process also involves mutation observers and asynchronous tasks that react to the initial button click.
The seemingly simple action of clicking a button sets off a cascade of operations that occur concurrently within a web application.
The complexity arises from the interactions of different technologies and interfaces responding to user input.
The entire process unfolds like a multi-threaded opera with various systems collaborating to execute the intended action.
Despite the seamless experience for the user, the underlying mechanisms involve a chain reaction of handlers, timers, reflows, and rerenders.
The coexistence of these processes demonstrates the intricate workings that support the functionalities of web applications.
The cascade of events triggered by a button click showcases the behind-the-scenes operations necessary for user interaction.
The interplay of components and technologies highlights the intricate dance of web development concealed from the user's perspective.

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Medium

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Will AI Replace Junior Developers? I Asked Experts at Pycon US

At PyCon US, the writer focused on networking and speaking to various Python community members.
Most experts interviewed didn't believe AI would replace developers due to focusing on core programming problems where AI is less helpful.
One expert mentioned that AI is similar to the new Stack Overflow and can assist with repetitive tasks and boilerplate code.
An expert advised against blindly relying on AI without understanding the code it generates.
Another expert emphasized that companies shouldn't replace junior developers as they are crucial for future development.
There were mixed opinions on AI's role in coding, with some stating it will change how developers work, while others highlighted its efficiency in streamlining tasks.
Many Python experts use AI tools like Copilot for everyday tasks, but some find AI unsuitable for their complex coding needs.
Overall, it was agreed that AI won't replace developers soon, but will impact how coding is done.
The writer also met Paul Everitt at the conference, who shared insights and a Python documentary trailer.

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Dev

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Best 15 Svelte UI Components & Libraries for Enterprise-Grade Apps

Svelte framework is known for its lightweight nature, elegant syntax, and reactivity.
It is now increasingly used for building enterprise-grade apps with the help of advanced UI components.
SVAR offers a suite of Svelte UI components such as DataGrid, Gantt chart, File Manager, and more.
Tzezar provides a lightweight data table with sorting, filtering, and grouping support.
TanStack Table is a framework-agnostic library for creating data tables with TypeScript support.
EventCalendar, inspired by FullCalendar, offers a pure-Svelte calendar with multiple views and easy theming.
FullCalendar, wrapped for Svelte, provides a feature-rich calendar/scheduler with drag-and-drop support.
svelte-gantt is a high-performance Gantt chart component with customization options.
Various UI libraries like Skeleton, shadcn-svelte, Bits UI, and Flowbite Svelte enhance Svelte app development.
For data visualization in dashboards, options like LayerChart and Chart.js integration are available.
Form and validation tools like Superforms and Felte simplify form handling in Svelte applications.

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Dev

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Day 28/30 - Git Archive – Export Repo Files Without .git Directory

Git archive command allows exporting repository files without the .git directory, useful for deployments, sharing code, and backups.
Basic syntax of git archive: git archive --format= --output=
Examples include exporting latest commit or specific branch as ZIP or tar.gz files.
Common use cases: deploying code, sharing code without Git history, creating releases, backing up specific versions.
Tips: List available formats, include untracked files, combine with git diff for partial exports, automate with Git Hooks.
Git archive streamlines workflows and ensures clean, version-controlled exports.
Mastering git archive options can help in efficient snapshot creation.
Further resources: Git Documentation on git archive, Git Tips and Tricks
Git archive is recommended for generating compressed snapshots of repositories.
Git archive facilitates creating clean copies for sharing code.
Web story eligibility: true

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How I found my path in GIS: A Journey Through Geography, Tech, and Purpose”

The individual initially felt disappointed with Geography but fell in love with it as they progressed.
The discovery of Geographic Information Systems (GIS) combining tech and geography sparked a passion for utilizing data and digital maps for real-world impact.
This led them to pursue an M.Sc in GIS for developing practical skills in spatial data analysis, cartography, and geospatial programming.
They are learning tools like Python, SQL, Tableau, and Excel to complement their GIS skills.
The individual is dedicated to continuous learning through online courses, volunteering, hands-on practice, and personal projects.
Goals include further deepening GIS skills and utilizing tech to solve real-world problems.
Encourages others exploring tech paths to stay open to unexpected opportunities.
Open invitation to connect with the individual on LinkedIn for networking and growth opportunities.

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Logrocket

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Frontend devs: Here’s how to get the most out of Cursor

Cursor is a code editing tool that enhances coding experience by utilizing AI models like Claude AI, o3, Gemini-2.5-Pro, and GPT-4.1.
According to the State of AI Web Dev survey, Cursor has high user awareness in the IDE space.
The article reveals the features and workflows of Cursor AI that improve daily coding experiences.
From utilizing Agent Mode and context integration to AI model selection and chat interface, Cursor aids in seamless coding tasks.
The article provides insights into starting projects, generating interfaces, building sample projects, and iterating designs using Cursor AI.
It mentions the Model Context Protocol (MCP) server for secure connections between data sources and AI tools.
Strategies like AI Agent mode, context management with @ symbols, and creating new chats enhance coding productivity with Cursor.
Custom rules, advanced autocomplete, and maintaining proper workflows contribute to maximizing productivity with Cursor AI.
The article also discusses cheaper alternatives like Windsurf and GitHub Copilot for those seeking budget-friendly options.
In conclusion, understanding and embracing AI-assisted coding environments like Cursor can significantly impact development workflows.

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