Software News, Latest Updates and Recent Announcements on Techminis

A naukri.com initiative

New

Home

Software News

Medium

Image Credit: Medium

Your UI Feels Slow Even If It’s Fast : Design UI That Feels Instantly Responsive

Even a fraction of a second of delay can make a UI feel sluggish.
Acknowledge user actions immediately to make the UI feel responsive.
Optimistically update the UI before receiving the API response.
Reserve space for dynamic content and use skeleton loaders for better user experience.

Read Full Article

3 Likes

Javacodegeeks

368

Image Credit: Javacodegeeks

Green Cloud Computing Practices 2025: Measuring & Reducing Energy Consumption

By 2025, sustainable cloud practices will be critical for enterprises aiming to reduce energy costs and meet ESG goals.
This guide explores the latest tools for measuring cloud energy use, AI-driven optimization strategies, case studies from AWS, Azure & Google Cloud, and carbon-aware computing techniques.
Key metrics to monitor include kilowatt-hour (kWh) per workload, carbon intensity (grams CO2e per kWh), and PUE (Power Usage Effectiveness) of data centers.
Energy optimization strategies include scheduling workloads for renewable energy, right-sizing underutilized resources, and adopting sustainable architectures.

Read Full Article

21 Likes

Medium

200

Image Credit: Medium

Dmail: Where Emails Earn You Crypto (and Spam Doesn’t Stand a Chance)

Dmail is a blockchain-based email service that encrypts emails end-to-end and stores them across a decentralized network.
Dmail uses Zero-Knowledge proofs to ensure legitimacy without revealing personal information.
Dmail's SubHub feature allows project updates to be sent directly to users' wallet addresses, eliminating spam.
Dmail offers a MailtoEarn feature that rewards users with tokens for reading emails and plans to launch an AI-powered Marketing Hub and mobile app in the future.

Read Full Article

12 Likes

Medium

They start next week, what are you going to have them work on?

In smaller teams without a pod structure, it can be challenging to shift junior designers from a 'feature factory' mindset.
Encouraging new hires to bring feature ideas can help spot talent and provide unique perspectives on product direction.
Structuring the workload of junior UI/UX designers involves dissection and exploration of the product.
Product dissection helps designers understand the product surface and possible opportunities.
Having junior designers diagram the product and discuss their findings with the product team can lead to valuable insights.
Exploration involves meeting with leadership and cross-functional teams to address business needs through user research and prototyping.
Using both dissection and exploration strategies instills a culture of ownership in the design team.
An example of exploration led to a successful feature idea at a weight loss startup, leveraging patient progress photos for organic growth.
Sharing features designed by the team allowed the company to use comparison photos effectively on social media without cost.
Encouraging exploration and dissection empowers design teams to uncover impactful features for a business.

Read Full Article

1 Like

Designveloper

Image Credit: Designveloper

What Is SQL: Definitions, Strengths & Usages

SQL is a programming language used to interact with databases, enabling users to store, change, and retrieve data.
Initially developed by IBM in the 1970s, SQL has become a standard for relational database management.
It is widely used by companies like Facebook, WhatsApp, and Instagram for data processing and storage.
SQL's growth has been substantial, with 72% of developers using it regularly according to a 2024 Stack Overflow survey.
It offers benefits such as portability, speed, beginner-friendliness, and standardized language.
SQL can be used for querying, data retrieval, insertion, updating records, and creating databases.
It uses keywords, clauses, expressions, predicates, and queries to manipulate and extract data efficiently.
SQL is crucial for secure and efficient digital product development, remaining a cornerstone of modern database systems.
Designveloper, a development company, highlights SQL's importance in their projects, such as LuminPDF.
With over 100 projects completed, Designveloper utilizes SQL for scalable and accurate software solutions.

Read Full Article

Medium

166

Image Credit: Medium

Why Tauri is the Future(Everything you need to know)

Tauri is the future of application development and offers a powerful solution for developers.
Rust, the programming language used in Tauri, provides high speed and safety.
Tauri's Rust backbone keeps apps lean and significantly reduces app size compared to Electron.
Rust's zero-cost abstractions ensure high performance, outperforming JavaScript by up to 300% in CPU-intensive tasks.

Read Full Article

9 Likes

Medium

Image Credit: Medium

From Single Server to Global Scale: A Journey Through System Evolution

Many systems evolve differently in reality than ideal scenarios, often necessitating multiple rewrites.
Systems typically move up one or two stages and remain there throughout their lifespan.
Avoiding full-application rewrites is crucial due to time and complexity concerns.
The journey of system evolution begins with a single server handling all tasks.
As a system grows, limitations emerge, such as overwhelmed servers and slower database querying.
Vertical scalability involves hardware upgrades without architectural changes.
Vertical scaling becomes costly and has limitations in terms of memory and CPU cores.
Functional partitioning involves separating services like web servers and databases onto different machines.
Horizontal scalability splits different components of a web app across multiple machines.
Global scalability involves distributing data centers worldwide for improved latency and disaster recovery.

Read Full Article

1 Like

Medium

343

Image Credit: Medium

Mastering Delegates in C#: A Developer’s Guide to Best Practices

Delegates in C# are a fundamental concept that powers events, callbacks, LINQ, and modern async patterns.
Delegates are more than just type-safe function pointers - they allow you to pass functions as parameters and return types from methods.
Understanding delegates is crucial for mastering events, callbacks, and other advanced language features in C#.
This deep dive article explores delegates in C# and provides guidance on how to effectively use them.

Read Full Article

20 Likes

Towards Data Science

282

The Case for Centralized AI Model Inference Serving

AI models are increasingly being used in algorithmic pipelines, leading to different resource requirements compared to traditional algorithms.
Efficiently processing large-scale inputs with deep learning models can be challenging within these pipelines.
Centralized inference serving, where a dedicated server handles prediction requests from parallel jobs, is proposed as a solution.
An experiment comparing decentralized and centralized inference approaches using a ResNet-152 image classifier on 1,000 images is conducted.
The experiment focuses on Python multiprocessing for parallel processing on a single node.
Centralized inference using a dedicated server showed improved performance and resource utilization compared to decentralized inference.
Further enhancements and optimizations can be made, including custom inference handlers, advanced server configurations, and model optimization.
Batch inference and multi-worker inference strategies are explored to improve throughput and resource utilization.
Results show that utilizing an inference server can significantly boost overall throughput and efficiency in deep learning workloads.
Optimizing AI model execution involves designing efficient inference serving architectures and considering various model optimization techniques.

Read Full Article

15 Likes

Medium

287

Image Credit: Medium

CSS Borders Unleashed

In CSS, a border is a line that surrounds an HTML element.
Borders can be styled in various ways, such as changing their thickness, style, and color.
CSS provides several properties to customize borders, including border-width, border-style, and border-color.
The border property combines border-width, border-style, and border-color into one line.

Read Full Article

17 Likes

Towards Data Science

387

AI in Social Research and Polling

The challenges in conducting social science research and polling are discussed, emphasizing the difficulty in obtaining a random sample of participants due to modern communication changes.
Old methods of phone sampling for research studies are no longer effective, leading researchers to explore alternative methods such as using gig workers for polling participation.
There is a growing reliance on AI tools in social research, but there are concerns about flawed assumptions regarding the capabilities of AI models.
Certain AI approaches involve using language models (LLMs) to simulate human responses in polling, leading to questions about the reliability and accuracy of such methods.
While some argue that LLMs can approximate human polling results, the potential bias and limitations of this approach raise skepticism about its effectiveness.
The use of LLMs in polling and research poses ethical challenges, as it may undermine human participation and perpetuate a deterministic view of democratic processes.
The shift towards AI-mediated polling raises concerns about replacing human inputs with technological mimicry, potentially marginalizing human perspectives and diminishing social participation.
There is a critical need to address social problems rather than relying solely on AI solutions, as overlooking the complexity of human behavior and societal dynamics can have far-reaching implications.
The discussion underscores the importance of considering broader societal impacts and ethical implications when deploying AI in social research and polling contexts.
Using AI to address challenges in polling and research requires a nuanced understanding of its limitations and potential consequences on social engagement and democratic processes.
Critical reflection on the societal implications of AI adoption in research and polling is essential to ensure ethical practices and preserve the integrity of democratic decision-making.

Read Full Article

21 Likes

Towards Data Science

210

4 Levels of GitHub Actions: A Guide to Data Workflow Automation

GitHub Actions is a CI/CD tool within GitHub that automates development and deployment workflows, including data workflows.
Benefits of GitHub Actions in data workflows include setting up data science environments, streamlining data integration and transformation, and automating machine learning model training.
GitHub Actions is free for public repositories and provides 2,000 free minutes per month for individual accounts with private repositories.
GitHub Actions offers templates, community resources, and support forums for easy implementation.
GitHub Action building blocks include Events, Workflows, Runners, and Runs, allowing for automation directly within repositories.
The article presents 4 levels of GitHub Actions implementation for data workflows, starting from a simple workflow to a secure pipeline workflow.
Level 1 introduces a basic setup with manual triggers and Python script execution.
Level 2 adds environment setup and runs workflows automatically on code pushes to the main branch.
Level 3 involves scheduled jobs and dynamic date handling for periodic data fetching.
Level 4 enhances security and performance through secrets and environment variables management.
GitHub Actions' versatility in building dynamic data pipelines offers a streamlined approach to data solutions and accelerates the development lifecycle.

Read Full Article

10 Likes

Towards Data Science

Agentic AI: Single vs Multi-Agent Systems

Agentic AI involves programming with natural language through large language models (LLMs) for automating tasks, allowing for more dynamic decision-making.
LLMs serve as a communication layer on top of structured systems and data sources, interpreting natural language but not inherently validating facts.
Agentic AI excels in interpreting nuanced language for tasks such as customer service and research but may not be ideal for structured tasks like precise calculations.
LangGraph, Agno, Mastra, and Smolagents are agentic AI frameworks worth exploring, with LangGraph being a popular choice among developers for building workflows.
Single-agent workflows involve one LLM accessing multiple tools to make decisions, while multi-agent workflows distribute tasks among different agents, offering more control and precision.
Single-agent setups are easier to start with but may lack precision for complex tasks, while multi-agent systems require careful architecture design for effective data flow and collaboration.
Using cheaper LLMs for most agents in a multi-agent system and reserving more advanced models for crucial tasks can help optimize costs and performance.
Building multi-agent workflows requires thoughtful architecture and data flow planning, with each agent responsible for specific tasks and interactions among different agents.
Improvements such as parsing user queries into structured formats, ensuring agents use tools effectively, enhancing summarization, handling errors, and implementing long-term memory can enhance workflow efficiency.
State management, particularly isolating short-term memory for each team or agent, is crucial for optimizing performance and cost in agentic systems.
Exploring different agentic workflows, such as single vs. multi-agent setups, can offer insights into the level of control, precision, and complexity achievable in automating tasks with AI.

Read Full Article

1 Like

Medium

256

Image Credit: Medium

Understanding the Ownership System in Rust

Rust's Ownership Model ensures automatic memory management by freeing memory when no longer in use, preventing common errors.
Key rules of Ownership System are enforced at compile time, preventing runtime memory errors and ensuring memory safety.
Ownership in Rust is compared to a real-world example of owning and lending books, showing concepts of borrowing and moving variables.
Rust allows borrowing references using `&` and distinguishes between mutable and immutable borrowings to prevent conflicts.
Multiple mutable references to a variable are not allowed simultaneously to prevent data races and maintain memory safety.
Rust also supports cloning variables for deep copying, and the Copy trait allows fast copying of simple types like values and booleans.
References in Rust may have lifetimes, represented by single quotes, to ensure data validity and to prevent dangling reference issues.
Lifetime annotations are required to specify how long a reference should live, and Rust infers lifetimes but allows explicit annotations when necessary.
The Ownership System, borrowing, cloning, and lifetimes work together to manage memory effectively in Rust and prevent common programming errors.
Rust emphasizes memory safety and data integrity through its Ownership System, making it a powerful language for writing robust and secure code.

Read Full Article

15 Likes

Hackernoon

326

Image Credit: Hackernoon

Bitunix Launches The World's First K-Line Ultra App With TradingView Integration

Bitunix has launched the Ultra version of the K-line on its mobile app integrated with TradingView, offering a smoother candlestick experience for cryptocurrency traders.
The integration with TradingView marks an industry-leading feature for Bitunix, allowing users to set stop-loss, take-profit levels, place orders, and interact with real-time charts.
Traders can customize their view with different chart styles, technical indicators, and drawing tools on the Bitunix app.
The Ultra Version K-line can be activated in the app settings, introducing advanced charting system features for improved market analysis and trade execution.
Bitunix has continuously improved its platform since its launch in 2021, adding features like spot and futures trading, P2P market, Convert and Copy Trading, and a multi-asset margin function.
The platform demonstrated Proof of Reserve in 2024, enhancing security and transparency and securing a $5 million insurance fund for users.
Bitunix has established partnerships with industry leaders and participated in various blockchain conferences, showcasing commitment to innovation and user safety.
The Ultra Version K-line launch represents Bitunix's dedication to improving user experience and continuous innovation as one of the fastest-growing crypto exchanges globally.
With a commitment to regulatory compliance, top-tier liquidity, and 24/7 customer support, Bitunix aims to provide a reliable trading experience for its over 2 million users in 100+ countries.
Bitunix's launch of the Ultra Version K-line sets a new standard for mobile crypto trading, offering professional charting experience on mobile devices and prioritizing user experience in a competitive market.

Read Full Article

19 Likes

For uninterrupted reading, download the app

Software News

Discover more