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Medium

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What Template Literals Actually Do in JavaScript

Template literals in JavaScript allow for string construction using backticks, which treat the string as a single structure with dynamic parts.
Expressions inside ${} are treated as full JavaScript code and can include function calls, math operations, ternary checks, or property access.
Template literals simplify string building, making code cleaner and easier to read compared to traditional concatenation methods.
Tagged templates in JavaScript allow for custom string processing by handing control to a function during construction.
Tagged templates break strings into sections, evaluate expressions, and pass parts to a function for custom formatting.
Tag functions receive plain string sections and evaluated expressions as input and can shape the result in various ways.
Tagged templates offer structured handling of dynamic content, making tasks like HTML escaping easier and more organized.
Tagged templates are commonly used in CSS-in-JS libraries, query builders, markdown formatters, and translation functions.
Regular template literals immediately build the string, while tagged templates delay final string construction until the tag function decides.
Tagged templates provide greater control over string processing, allowing for logic injection, escaping, and custom formatting.

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Dev

10h

296

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The problem with Open Source, in 2025

The article criticizes the current state of Open Source in 2025 and expresses dissatisfaction with programs like GSOC.
The author recounts their journey of learning various programming languages and tools but feeling inadequate in open source projects.
Due to a lack of motivation to contribute to existing projects, the author highlights the disconnect between developers and the tools they are asked to improve.
The author argues that open source should be about community and passion rather than just fixing issues for the sake of it.
They stress the importance of using and understanding the tools one contributes to, instead of merely submitting PRs without genuine engagement.
The article emphasizes the need for personal connection to the open source projects one works on.
The author shares their experience using Neovim, transitioning to Linux, and actively forking and learning about open source tools.
List of 5 lesser-known open source tools mentioned by the author includes Gh, TT, OBS Studio, Link Cleaner, and UIX.
The author encourages readers to contribute to open source out of genuine interest and community spirit, not just for programs like GSOC or LFX.
The article concludes with a call to prioritize contributing to open source for its intrinsic value rather than as a job opportunity.

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Medium

10h

211

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The Lifecycle of a StringBuilder During Large Text Concatenation

When you create a StringBuilder, it sets up an internal character array with a default capacity of 16 characters.
You can specify a starting capacity to avoid frequent resizing of the internal buffer when building large strings.
The buffer grows dynamically as you append more data, and the capacity never decreases automatically.
Resizing occurs when the appended content overflows the current buffer, leading to a doubling of the capacity with a buffer compacting method available.
Constant resizing due to capacity limitations can result in performance issues and unnecessary memory overhead.
Estimating and setting a higher initial capacity can optimize memory usage and reduce the need for frequent reallocations.
Appending different types of data to a StringBuilder triggers capacity checks and resizing logic to accommodate the new content.
Temporary objects generated during append operations, like string conversions, add pressure on the garbage collector, impacting memory management.
Reusing a StringBuilder by clearing its content with .setLength(0) can improve performance and memory usage, especially in resource-intensive tasks.
Understanding the resizing behavior, memory implications, and performance considerations of a StringBuilder can help in writing efficient string manipulation code.

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Medium

10h

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Debunking 7 Programming Myths That Kill Your Productivity

In the programming world, it's essential to differentiate between beneficial resources and time-wasting distractions.
Chasing the latest technologies isn't always necessary; established technologies like PHP and Java remain relevant.
Avoid falling for the belief that there's only one 'right' way to write code; embrace the flexibility of modern languages.
Striving for clean, readable code is vital, but obsessing over perfection can hinder progress.
Aiming for 100% test coverage doesn't always equate to high-quality code; focus on meaningful tests instead.
Optimizing for performance too early can be inefficient; prioritize correctness before focusing on speed.
Simplifying infrastructure architecture at the initial stages can save time and prevent unnecessary complexity.
While AI tools can aid in coding tasks, they are not a replacement for human programmers' problem-solving abilities.
Debunking common programming myths allows programmers to focus on writing effective, efficient code that solves real problems.
Instead of getting caught up in trends and dogmas, prioritize writing quality code that meets user needs and emphasizes efficiency.

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Medium

10h

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Why Refusing to Use AI Might Kill Your Dev Career

Seniors who proudly refuse to use AI might find themselves at a disadvantage in the job market.
Developers are divided between those eager to replace themselves with AI and the resistors who believe real developers don't need AI.
AI enthusiasts may make mistakes by asking for complex systems and deploying them without thorough testing.
Resistors can waste time by manually implementing code that could be automated with AI.

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The Pragmatic Engineer

11h

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How Kubernetes is Built with Kat Cosgrove

Kubernetes, the second-largest open-source project globally, is discussed in an episode featuring Kat Cosgrove on The Pragmatic Engineer.
Kat Cosgrove, who led several Kubernetes releases, explains its structure, scalability, and contributor management practices.
The episode covers the purpose of Kubernetes, its architecture including components, pods, and kubelets, and the influence of Google's Borg on Kubernetes.
Key points include the benefits of large-scale open-source projects, Kubernetes' anti-burnout policies, and the roles within the release team.
Kubernetes emphasizes thorough documentation and features like KEPs to ensure successful releases and user understanding.
Notable discussions revolve around the recruitment of 'shadows' in the release team, the project’s initial hype, and the significance of user-facing documentation.
The episode delves into how Kubernetes has maintained its popularity and the challenges and opportunities for AI integration within the platform.
Kat Cosgrove shares insights on GenAI tools, contributing to open source projects like Kubernetes, and enhancing developer workflows.
Listeners gain valuable information on getting started with Kubernetes, contributing to projects, and leveraging networks through open source participation.
The episode also touches on cluster management solutions, contributor motives, senior engineering responsibilities, feature flags, and preferred AI tool functionalities.

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Medium

11h

226

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Flip the Switch, Not Your Whole Stack!

CQRS (Command + Query Responsibility Segregation) can provide significant benefits with just a single database and well-named interfaces, rather than complex setups like dual databases and Kafka clusters.
A simple five-file starter kit can transform controllers from being complex to crystal clear, making real-time dashboards and write workflows more manageable.
Implementing a lightweight CQRS layer can offer a middle-ground solution between monolithic architectures and microservices for handling complex tasks efficiently.
By using a small amount of MediatR wiring, developers can achieve the benefits of Clean Architecture while implementing pragmatic patterns that can scale effectively.

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Dev

11h

233

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Focus on the product, not the tech stack

The choice of tech stack or programming language should be based on comfort and the set of features it offers for the specific use case, rather than following industry trends or speed claims.
It's not necessary to upgrade software versions immediately if the current version is serving its purpose well, especially if upgrades involve major rewrites due to breaking changes.
Complexity in projects should be justified by solving real problems and not just for the sake of incorporating trendy technologies. Building clones or overly complex projects may not necessarily demonstrate real engineering skills.
Approach building projects by focusing on solving real problems that you or others face, rather than aiming for complexity or using numerous technologies just for the sake of it. Tech should be seen as a tool to solve problems, not a mastery to be achieved.

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Medium

11h

355

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How Coding Brushup Prepares You for Job-Ready Skills with Hands-On Industrial Training

Coding Brushup provides hands-on industrial training to prepare students for job-ready skills and competitiveness in the market.
Their focus on practical knowledge and alignment with industry standards addresses the gap left by traditional education systems.
Students experience real-world environments through project-based learning modules, enhancing problem-solving and teamwork abilities.
The job market demands hands-on experience, making industrial training courses essential for mastering modern tech tools and workflows.
Coding Brushup integrates coding assignments, projects, soft skills training, and career mentorship to develop sought-after skills.
Hands-on training involves live project work, code reviews, agile methodology, and version control systems for holistic skill development.
Real-time projects like e-commerce platforms and data visualization dashboards help students build portfolios for job success.
Courses cater to various career paths like full-stack development, data science, cybersecurity, and mobile app development.
Career development services include resume optimization, interview preparation, and job placement assistance for a seamless transition into employment.
Flexibility, affordability, and industry-relevant curriculum make Coding Brushup a valuable choice for tech professionals entering the U.S. job market.

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Johndcook

11h

154

Embeddings, Projections, and Inverses

A recent post discussed the process of embedding a 3D vector into quaternions and pulling it back out.
The embedding of a 3D vector into quaternions involves making it the vector part of a quaternion with zero real part, while returning a quaternion to 3D involves cutting off the real part.
The process includes an embedding E: ℝ3 to ℝ4 and a projection P from ℝ4 to ℝ3, with P being the transpose of E.
While P undoes what E does, E cannot recover information lost during projection, leading to discussions on left and right inverses, adjoints, and the Moore-Penrose pseudo-inverse.

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Dev

11h

345

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Applying AOP Concepts in Go

AOP (Aspect-Oriented Programming) in Java decouples cross-cutting concerns from core business logic for clearer code structure.
Advantages of AOP in Java include decoupling, improved code reuse, and ease of maintenance.
Implementing AOP-like effects in Go involves using higher-order functions, closures, and Gin middleware.
Directly writing logs in handlers in Go results in redundancy and high maintenance cost.
Using middleware in Go's Gin framework helps implement aspects like logging uniformly across requests.
Function wrapping can enhance specific handlers with logging in Go code for decoupling and reusability.
Middleware in Gin acts as a decorator pattern for pre- and post-processing in request handling.
Middleware and function wrappers in Go have similarities with AOP but differ in implementation mechanism and scope of application.
AOP relies on framework support, while middleware and wrappers manually construct call chains for added transparency.
Regardless of the approach, the core idea of AOP is to enhance code modularity and maintainability by separating concerns.

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Dev

11h

291

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How to Implement Shadow DOM in React to Avoid CSS Conflicts?

Implementing Shadow DOM in React can help avoid CSS conflicts, especially in projects using Module Federation.
Shadow DOM encapsulates DOM and CSS within web components, preventing external styles from interfering.
To implement Shadow DOM in React, create components with shadow roots using useRef and useEffect hooks.
Steps include creating a component with shadow DOM, rendering it in the main application, and troubleshooting possible issues like rendering conflicts or incorrect attachments.

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Dev

11h

338

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When to Choose NoSQL over SQL: A Simple Use Case Primer

NoSQL is preferable for flexible schemas, massive horizontal scale, and unstructured data.
Relational databases excel at ACID transactions, joins, and mature tooling.
NoSQL, like document stores, excels in modern workloads, such as IoT telemetry, due to schema flexibility and scaling.
Choose NoSQL for evolving schema, high-velocity writes, geographically distributed scale, and unstructured data.

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Hackernoon

12h

284

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The HackerNoon Newsletter: The Startup Playbook Is a Lie. Ask Better Questions. (5/14/2025)

The HackerNoon Newsletter brings tech news including articles on DNA data privacy, decoding URLs, and cybersecurity threats like Cactus ransomware.
Top stories highlighted in the newsletter include 'The Startup Playbook Is a Lie. Ask Better Questions' and 'What Happens When Hackers Get Your DNA Data?'
One article presents a new Chrome extension for decoding dangerous URLs instantly, while another warns about the evolving cyber threat of Cactus ransomware in 2025.
The newsletter also encourages readers to answer the greatest interview questions of all time to consolidate technical knowledge and establish credibility in the tech community.

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Logrocket

12h

122

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How to pick your battles as a designer

Design-led companies like Apple, Airbnb, IBM, and Netflix prioritize weaving design and user experience into every department to drive decision-making.
Many organizations aspire to be design-led, but in reality, business decisions are often driven by product or engineering teams.
Designers are sometimes treated as service providers rather than strategic partners, impacting their ability to influence product direction.
It is essential for designers to strategically choose which battles to fight to maintain resilience and influence in the design process.
Designers should focus on educating and building trust in small moments, such as when leadership shows interest in design rationale.
Recognizing when to walk away from organizations that do not value design can be essential for a designer's self-respect and professional growth.
Assessing an organization's design culture during interviews can help designers identify if design is valued and integrated into decision-making processes.
Designers should inquire about design involvement in product decisions, leadership's view of design, measuring design impact, and addressing past design challenges during interviews.
Designers play multiple roles from designing interfaces to advocating for users and leading collaborations, but their full scope of work is often underappreciated.
It is crucial for designers to help others understand the importance of design thinking and to choose battles wisely to make a meaningful impact within organizations.

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