Programming News and Topics: Latest News on Computer Programming from Techminis

A naukri.com initiative

New

Home

Programming News

Logrocket

Image Credit: Logrocket

A guide to the MUI grid system

Material-UI's grid system is implemented using the Grid component, offering flexibility with Flexbox properties.
There are container and item types of grid components for fluid layouts across different screen sizes.
Import the Grid component in JavaScript using 'import Grid from '@mui/material/Grid';'
Containers give the Grid component flex container properties, and items give flex item properties.
Material Design's grid system ensures visual balance and adaptability to various screen sizes.
MUI Grid uses standard CSS Flexbox with breakpoints for responsive web apps.
Installation of MUI in React involves installing necessary dependencies and setting up components.
Grid properties like spacing, fluid grids, auto-layout, nested grids, and responsive layouts are explained.
MUI's Stack component is suggested for vertical layouts instead of using the Grid system.
Best practices include optimizing performance with virtualization techniques and adding borders to Grid items.

Read Full Article

1 Like

Medium

207

Image Credit: Medium

TDD: The Professional’s Discipline — Insights from The Clean Coder

TDD follows a simple but powerful cycle: Red — Green — Refactor
TDD helps keep code modular, testable, and clean.
TDD prevents bugs by catching issues early.
TDD requires discipline and builds confidence over time.

Read Full Article

12 Likes

Medium

254

Image Credit: Medium

Explain the Comparator and Comparable interfaces

Sorting is a crucial aspect in developing any application, especially with custom objects in Java.
The Comparable interface is implemented by a class to provide its natural ordering. It defines the compareTo() method to compare objects.
The Comparator interface is used to provide custom sorting logic. It defines the compare() method to compare two objects.
In the given example, to sort a list of Student objects by names or marks, we can implement Comparable in the Student class for natural ordering or use a separate class implementing Comparator for custom sorting.

Read Full Article

15 Likes

Medium

From Zero to Billions of Requests, Scaling Microservices

Building systems capable of effortlessly scaling from zero to billions of requests is vital in today's digital environment.
Key techniques for scaling microservices include statelessness, idempotency, and processing asynchronously.
Infrastructure as Code (IaC) helps automate provisioning and deployment, enabling repeatable scaling across different environments.
To achieve zero-downtime scaling, sophisticated deployment techniques like blue-green deployments and circuit breakers are essential.

Read Full Article

1 Like

Medium

249

Image Credit: Medium

Firebase Studio vs. Bolt.new vs. Lovable: The Ultimate Showdown for AI App Builders in 2025

App development is becoming more accessible with the rise of AI, allowing for minimal coding and even no code at all.
Tools like Firebase Studio, Bolt.new, and Lovable.dev are leading the charge in AI app building.
In a comparison of these platforms, real-world tests were conducted to build a recipe app and an AI-driven SEO tool.
Firebase Studio, a browser-based environment, stands out with its all-in-one functionality and currently being free.

Read Full Article

14 Likes

Dev

427

Image Credit: Dev

# Day 3 Learn JavaScript Basic Syntax & Principles (Beginner Friendly Guide)

JavaScript Syntax: Refers to the set of rules defining how to write code for browsers to understand and execute properly
JavaScript Syntax Rules (With Examples): Highlights case sensitivity, semicolons, comments, curly braces, variable naming rules, and white space
JavaScript Core Principles & Best Practices: Emphasizes DRY, KISS, and YAGNI principles, commenting, proper naming, and avoiding global variables
JavaScript Output Methods & Statements: Covers various methods to display output or interact with users, such as console.log(), alert(), document.write(), prompt(), confirm(), template literals, and escape characters

Read Full Article

25 Likes

Logrocket

203

Image Credit: Logrocket

What is a website’s hero section? Best practices, tips, examples

A website's hero section is the large banner above the fold, typically the first thing visitors see upon entering a site, consisting of a prominent image, text, and a call to action.
Key elements of a hero section include the hero image/graphic, text block with headline and description, call-to-action button, logo, and navigation menu.
Best practices for a standout hero section introduction include using high-quality images that align with your message, choosing impactful words, and ensuring the call-to-action button is prominent.
Avoid overusing call-to-action buttons, prioritize essential actions, maintain adequate spacing for visual appeal, use legible fonts, and consider incorporating videos for engagement.
Testing different design versions via A/B testing is crucial to create a hero section that resonates with the audience and captures user attention effectively.
A well-designed hero section can make a lasting impression on visitors and keep them engaged by utilizing compelling visuals, concise text, and strategic placement of call-to-action buttons.

Read Full Article

12 Likes

Logrocket

198

Image Credit: Logrocket

New design patterns for products with AI features

AI tools have become integral in digital products over the past few years, seen in chat applications like Claude and Google Sheets.
Designers are innovating and adapting interfaces to enhance user interaction with AI features.
Improving AI efficiency involves asking detailed questions to provide accurate responses and reduce costs.
Adding a regenerate button allows users to quickly get alternative AI responses.
Providing prompt history and animations during AI processing enhances user experience.
Offering users the ability to set default parameters and displaying credit usage increases transparency and customization.
Adapting the tone of voice of AI models to align with the brand helps create a cohesive user experience.
Combining inputs with free text and incorporating conversation start buttons streamlines user interaction with AI features.
These emerging design patterns aim to optimize user experience with AI products, paving the way for improved user interfaces.
As AI technology rapidly evolves, incorporating these patterns can lead to more intuitive and efficient product designs.

Read Full Article

11 Likes

Dev

211

Image Credit: Dev

We’re Building an App, and You’re in for the Ride

Thiago, a software engineer, is teaming up with Rian to develop a mobile app and document their journey.
Their main goal is to build a positive personal brand and digital footprint through this project.
They plan to start small with a habit tracker and gradually evolve it into a shared accountability tool.
Thiago and Rian will be using a combination of tech stack including NestJS, React Native, and Docker, while sharing updates and insights on dev.to throughout the journey.

Read Full Article

12 Likes

Dev

Image Credit: Dev

Hype v. Reality: 5 AI features that work in production

The AI ecosystem is becoming fragmented with various frameworks; however, AI developers focused on building production-ready AI features are gaining importance.
Vector search, a technique to find similar items in a database, is practical for real use case implementations in AI.
Implementing vector search involves calculating embeddings for data, storing them in a database, and using a vector search engine to match queries.
Filtering dashboards with AI using free-text filters like LLM enables quick and efficient data exploration in real-time.
Visualizing data with AI through free-text queries provides a flexible and customizable experience for users instead of predefined dashboards.
Auto-fix with AI and explain with AI features leverage LLM models to fix errors and provide explanations, respectively, improving developer productivity and support.
Creating a system prompt, gathering context, and using LLM queries are common steps in implementing features like filter, visualize, auto-fix, and explain with AI.
By making documentation LLM-friendly and integrating with AI agents, technical companies can enhance support services and streamline workflow processes.
Building practical AI features instead of focusing solely on hype can bring tangible value to users, showcasing the importance of implementation over theoretical concepts.
Demo of AI Usage Analysis app offers insights into leveraging AI features effectively, with Tinybird serving as the analytics backend for implementing these functionalities.

Read Full Article

3 Likes

Javacodegeeks

406

Image Credit: Javacodegeeks

Efficiently Reading Large Files in Kotlin

Kotlin is a modern, statically typed programming language popular for Android development and other projects, designed to be concise and interoperable with Java.
It finds use in Android, backend, web development, cross-platform development, data science, and game development.
Kotlin's benefits include concise syntax, interoperability with Java, null safety, coroutines for async programming, smart type inference, and modern functional features.
The article compares Kotlin and Java on various features like conciseness, null safety, coroutines, interoperability, extension functions, and default parameter values.
Efficient file reading methods in Kotlin include BufferedReader for line-by-line reading, useLines with sequences for lazy processing, and InputStream for binary files.
By utilizing these techniques, Kotlin optimizes memory usage and enhances performance when handling large files, such as with buffered reading and fixed-size buffer processing.
Different approaches like BufferedReader, useLines with Sequences, and InputStream suit specific use cases based on memory efficiency, performance, and file type.
Selecting the right method like BufferedReader for text files or InputStream for binaries is crucial in efficiently handling large files in Kotlin.
Kotlin offers multiple tools and features to streamline the process of reading large files, optimizing memory usage, and enhancing performance.
Improving expertise in Kotlin can empower developers to efficiently handle various types of files and data processing tasks.

Read Full Article

24 Likes

Fueled

254

Image Credit: Fueled

Sanity Ignite: A Kit for Content-Driven Marketing Sites Built with Sanity CMS

Sanity Ignite is a content marketing kit designed to enhance content visibility, audience interaction, and search engine performance for clients using Sanity CMS.
Sanity is a popular headless content management system used for websites, apps, and various digital channels, known for its modern technology stack.
Sanity Ignite addresses gaps in existing templates for content-heavy marketing sites, focusing on content marketing, engagement, and SEO optimization.
Key features of Sanity Ignite include meta titles/descriptions, taxonomies, author and category archives, proper pagination, open graph tags, and SEO-friendly URL structures.
The kit also includes components for user engagement like hero CTAs, email subscription forms, pre-built post lists, and well-architected category and tag pages.
Built with modern technologies like Next.js, Tailwind CSS, React.js, TypeScript, and ShadCN Components, Sanity Ignite offers a robust and flexible development experience.
Sanity Ignite simplifies infrastructure management by integrating the content editing environment directly into the frontend application, reducing hosting complexity and costs.
This initiative aims to provide cost-effective, performant, and scalable websites optimized for effective content marketing strategies, with continuous improvements based on real-world feedback.
Sanity customers can access and explore Sanity Ignite from the Sanity Template Directory or review the repository on GitHub for further details.
Businesses and marketers seeking a powerful foundation for content-driven strategies can leverage Sanity Ignite to elevate their marketing sites into engines for growth.

Read Full Article

15 Likes

Dev

129

Image Credit: Dev

Greener Code: How Developers Can Increase Sustainability with Cleaner Software

Efficient code can significantly reduce energy consumption and carbon footprint.
Reducing code and package bloat by being selective about dependencies improves energy efficiency.
Lazy loading and effective caching can minimize unnecessary computation and lower energy consumption.
Regular refactoring of code helps maintain efficiency and reduces carbon footprint.

Read Full Article

7 Likes

Dev

Image Credit: Dev

When One Tech Stack Isn’t Enough: Orchestrating a Multi-Language Pipeline with Local FaaS

The article discusses orchestrating a multi-language pipeline using a local-first FaaS approach to handle real-time data processing across various systems.
The scenario involves using different languages and tools like Rust, Go, Python, Node.js, and Shell Script for different nodes in the pipeline.
Node 1 (Rust) focuses on high-performance ingestion, utilizing Rust's memory safety features and ownership model for handling high event throughput.
Node 2 (Go) deals with filtering and normalization, leveraging Go's concurrency features and ability to compile into a single binary for deployment flexibility.
Node 3 (Python) handles ML classification, benefiting from Python's ecosystem for data science tasks and ease of loading pretrained models.
Node 4 (Node.js) manages external service notifications, utilizing Node.js's event-driven nature for real-time hooks like Slack notifications, webhooks, etc.
Node 5 (Shell Script) focuses on archiving logs using classic CLI tools like tar and gzip, known for their reliability and efficiency in handling file archiving.
Data adapters play a crucial role in handling different data formats and ensuring seamless communication between nodes while keeping the underlying data format complexities abstracted.
By adopting a local-first FaaS mindset and unifying the pipeline into a single computational graph, the article highlights significant reductions in friction between teams working with different languages and tools.
The approach allows each team to focus on their specific node's functionality without being heavily dependent on other teams, thereby streamlining the overall data processing workflow.
Overall, the local-first FaaS approach proves beneficial for managing a multi-language environment, providing flexibility and efficiency in handling diverse tasks across the data processing pipeline.

Read Full Article

3 Likes

Medium

237

Image Credit: Medium

How I Lost Weeks to These 5 Python Mistakes (And Didn’t Even Realize It)

Parsing a large file using a list comprehension caused freezing and high memory usage.
Using generators instead of lists can avoid memory issues and freezing.
Forgetting to define __slots__ when working with many instances of a class can result in unnecessary overhead.
Memory usage was reduced by 40% by adding __slots__ in a custom data pipeline.

Read Full Article

14 Likes

For uninterrupted reading, download the app

Programming News

Discover more