Software News, Latest Updates and Recent Announcements on Techminis

A naukri.com initiative

New

Home

Software News

Infoq

328

Image Credit: Infoq

Java at 30: A Retrospective on a Language That Has Made a Big Impact

Java programming language was introduced by Sun Microsystems at the Sun World conference in 1995, characterized as simple, object-oriented, distributed, and high-performance.
Java, originally named Oak, was created to be architecture agnostic and object-oriented for consumer applications.
Java has evolved over the past 30 years, overcoming challenges like being considered 'slow' or 'dead', with Oracle's recent initiatives focusing on making the language more accessible to students.
To celebrate Java's 30th birthday, Oracle hosted a special event featuring discussions on language stewardship, community outreach, education, and the future of Java, highlighting its continued importance.

Read Full Article

19 Likes

CSS-Tricks

Image Credit: CSS-Tricks

What We Know (So Far) About CSS Reading Order

The reading-flow and reading-order proposed CSS properties determine the source order of HTML elements in the DOM tree for accessibility tools.
Reading-flow values like flex-visual and grid-order help match focus order to the visual order of elements.
Reading-flow properties include flex-visual, grid-rows, grid-columns, grid-order, source-order, among others.
Reading-flow establishes focus orders in flex or grid layouts, ensuring a logical sequence for accessibility.
Reading-order, similar to the 'order' property, specifies the order of specific flex or grid items for accessibility.
By setting reading-flow to source-order, reading-order can then be used to control the focus order of elements.
Reading-order values work differently from HTML 'tabindex' attributes, offering more flexibility in defining focus order.
Reading-flow and reading-order properties are currently supported in Chrome 137+ for enhancing accessibility in web design.
These CSS properties allow for adjusting focus order to match visual order, aiding in meeting Web Content Accessibility Guidelines.
Using reading-order enables proper use of the 'order' property in flexbox and grid layouts for improved accessibility and usability.

Read Full Article

1 Like

Engadget

387

OnePlus is replacing its Alert Slider with, yes, an AI button

OnePlus is replacing its Alert Slider with the introduction of the Plus Key, a physical button that can be customized for various functions.
The Plus Key will feature a new AI Plus Mind feature that allows users to record and recall information from the screen.
AI Plus Mind will save relevant content to a dedicated Mind Space for easy access and browsing using natural language queries.
OnePlus will debut the Plus Key and AI Plus Mind on the OnePlus 13s in Asia first, with plans to roll out to the rest of the OnePlus 13 Series and future OnePlus devices.

Read Full Article

23 Likes

TheNewsCrypto

166

SwissBorg Integrates Hyperliquid for One-Tap Fiat-to-DeFi Trading Across Europe

SwissBorg has integrated Hyperliquid, a major decentralized exchange, into its Meta-Exchange (MEX) for easy fiat-to-DeFi trading in Europe.
The integration allows one-tap trading of Hyperliquid-native assets from fiat currencies like EUR, GBP, and CHF, providing deep liquidity and competitive pricing.
SwissBorg leverages Hyperliquid's liquidity to offer direct fiat-to-$HYPE conversions, simplifying access to decentralized markets without the need for bridges or external wallets.
The Meta-Exchange's Smart Engine ensures best price and liquidity routing, enabling seamless cross-chain asset swapping and access to decentralized infrastructure.

Read Full Article

10 Likes

Infoq

192

Image Credit: Infoq

Apollo GraphQL Launches MCP Server: A New Gateway Between AI Agents and Enterprise APIs

Apollo GraphQL introduced the MCP Server to facilitate the integration of AI agents with existing APIs using GraphQL, enabling faster time-to-value and reducing development overhead.
The Model Context Protocol (MCP) serves as a standardized interface between large language models and enterprise systems, enhancing connectivity and enabling various AI tasks.
Utilizing GraphQL, the Apollo GraphQL MCP Server creates a scalable layer connecting AI agents with backend APIs for tasks like querying data and executing business logic.
The integration of GraphQL with MCP allows for deterministic execution, selective data retrieval, and embedded policy enforcement, crucial for AI systems interacting with multiple APIs.
MCP offers tools for interfacing with REST APIs via Apollo Connectors, facilitating the adoption of AI interfaces with minimal disruption to existing services.
Major industry players such as HashiCorp, GitHub, and Docker have started offering MCP-compatible solutions, signaling the importance of tool-aware AI in the development landscape.
The declarative approach of Apollo GraphQL's MCP tools aids in governance by abstracting APIs and services, ensuring data security and policy adherence across different systems.
GraphQL and MCP serve as a solution to anti-patterns in AI-API orchestration, ensuring deterministic execution, efficient token usage, policy enforcement, and adaptable implementations.
The Apollo MCP Server offers query plan visibility for tracing AI-generated queries and orchestrated API flows, enhancing observability and debugging capabilities.
Apollo Federation plays a vital role in multi-domain MCP deployments, allowing AI to reason across separate team domains by presenting a unified semantic layer for seamless traversal.

Read Full Article

11 Likes

Swiggy

227

Image Credit: Swiggy

Rill State Implementation

Swiggy relies on the Rill platform for real-time data processing, enabling quick data-driven decisions to enhance user experience and operational efficiency.
Rill, Swiggy’s streaming analytics platform, allows users to process events via SQL queries or custom code, supporting applications like real-time monitoring and ML feature creation.
Rill's architecture involves interactions with App Server, Database, S3, and Kafka for pipeline management and data processing using Flink on YARN with EMR.
Built on Apache Flink, Rill supports various data sources like Kafka, Delta Tables, and output destinations like Kafka, Delta Tables, and Redis.
Challenges with Rill include limitations in SQL usage, especially for historical data processing, which can be addressed by NoSQL routes for complex transformations.
Rill overcame the longer lookback window problem by leveraging Flink's State Backend, utilizing RocksDB for intermediate state persistence, and ensuring fault tolerance in data handling.
The Flink-based solution implemented key-value state storage for historical data aggregation, featuring record-level TTL, timers, and various state types like ListState and ValueState.
Rill's state management allows storing data locally in memory or disk and periodically in S3, making the system fault-tolerant and reliable for seamless pipeline restarts.
By partitioning data streams and utilizing MapState for customer order counting use cases, Rill provides efficient state handling for longer lookback periods.
Trade-offs of using Rill's state implementation include increased resource requirements, larger checkpoint sizes, and potential checkpointing failures in cases of network latency.
The article highlights how Rill's state implementation addresses real-time data processing challenges and acknowledges key contributors for guiding and developing new features.

Read Full Article

12 Likes

Educba

Image Credit: Educba

Restaurant Delivery App Development

Restaurant delivery app development in 2025 involves automation, AI, and personalized experiences to meet increasing customer expectations and logistical challenges.
Building a scalable restaurant delivery platform is crucial due to user demand spikes, logistics complexity, and security issues.
Key team members for app development include UI/UX designers, frontend and backend developers, DevOps engineers, security specialists, and data analysts.
Scalable architecture for a delivery app should include a microservices approach, cloud infrastructure, fault tolerance mechanisms, and advanced caching.
Modern technologies like AI for delivery routing, automated inventory management, real-time monitoring, and continuous testing are essential for a successful app.
Continuous integration, real-time performance analysis, and quick iteration based on user feedback are vital for product testing and optimization.
Restaurant delivery app development requires strategic collaboration, advanced technologies, and a scalable infrastructure for long-term success.
Investing in AI-powered solutions and user-centric design can lead to significant success in the competitive food delivery market.
Recommended articles include topics on restaurant finance management, reservation software, and mobile app development tools for further insights.
The guide emphasizes the importance of full-stack teams, user experience, and future scalability in creating successful restaurant delivery platforms.

Read Full Article

5 Likes

Tech Radar

354

Image Credit: Tech Radar

OpenAI Operator is getting bigger brains to control the AI agent’s virtual hands

OpenAI has upgraded its Operator AI agent with the logic-heavy o3 model to enhance its capabilities in completing tasks online.
The o3 model helps Operator in tasks like filling out forms, making purchases, and persisting through challenges encountered while browsing.
The improved model is expected to make Operator more efficient and accurate in handling complex tasks, benefiting users of ChatGPT Pro.
The upgrade signifies OpenAI's progress towards creating more advanced AI agents, although access to Operator remains limited and comes at a higher price point.

Read Full Article

21 Likes

Changelly

Image Credit: Changelly

What Is DeFi 2.0 and Why It Matters

DeFi 2.0 aims to address the flaws of DeFi 1.0 by improving liquidity management, reducing risk, and introducing more sustainable models.
It focuses on protocols owning their liquidity, introducing bonding mechanisms, self-repaying loans, and more efficient treasury management.
DeFi 2.0 aims to create a more sustainable and efficient decentralized finance ecosystem by reducing dependence on external rewards.
Key innovations in DeFi 2.0 include improved scalability, enhanced security, DAO governance, cross-chain interoperability, and better user experience.
Projects like OlympusDAO, Tokemak, Alchemix, and Abracadabra Money are implementing concepts of DeFi 2.0 such as protocol-owned liquidity and self-repaying loans.
DeFi 3.0 is expected to address gaps in DeFi 2.0, such as real-world asset tokenization, AI-driven protocols, better cross-chain tools, regulations, and innovative liquidity provision models.
DeFi 3.0 will build on the advances of DeFi 2.0, offering smarter automation, increased access to markets, and improved risk management tools while maintaining decentralization.
It is important for users to stay informed about the evolving DeFi landscape, potential risks, and regulatory developments to make informed decisions in the crypto space.
Disclaimer: The information provided is the author's opinion and not financial advice. Investors should conduct thorough research and consider various viewpoints before making investment decisions.

Read Full Article

5 Likes

TechBullion

399

Image Credit: TechBullion

How Real-Time Incident Reporting Improves Organisational Resilience

Incident reporting is evolving from a compliance task to a real-time tool for organisations to enhance resilience.
Real-time reporting allows businesses to identify patterns early, act swiftly, and share information efficiently across teams, contributing to agility and efficiency.
Organisational resilience is crucial in today's unpredictable world, where the ability to detect, respond to, and learn from incidents in real time is essential for mitigating risks.
Real-time reporting provides leading indicators that help in preventing incidents rather than reacting to them after they occur, supporting a proactive approach to safety and risk management.

Read Full Article

24 Likes

Medium

2.2k

Image Credit: Medium

Telecom Business — Use AI Now

Telecom operator integrated AI into its engineering processes to boost sprint capacity by 50% without hiring additional developers.
AI tools were used for generating test cases, assisting with code reviews, and summarizing pull requests.
Companies that deploy AI with intent and as a force to apply are getting ahead in the industry.
Telcos are advised to start utilizing AI in their workflows to stay ahead in the competitive market.

Read Full Article

20 Likes

Medium

776

Image Credit: Medium

Understanding MCP and A2A Protocols: A Technical Deep Dive in Simple Language

MCP is an open standard that allows AI models to access external tools, services, and data in a standardized and secure way.
MCP simplifies integrations for AI systems by providing a single standard interface instead of custom code for each tool.
All messages in MCP are formatted using JSON-RPC 2.0, ensuring easy parsing and debugging.
A2A protocol allows agents to communicate with each other over the internet, enabling tasks like fetching booking cards and collaboration for travel planning.

Read Full Article

6 Likes

TechBullion

200

Image Credit: TechBullion

Data Theft from Discarded Devices: How File Erasure Could Have Helped

Improper data deletion from electronic devices before selling or discarding makes them vulnerable to data theft.
Deleting files on a computer does not erase the actual data, leaving it recoverable through data recovery software.
Corporations and government agencies have also faced data theft due to improper disposal of devices.
Real-life examples include a UK bank's data theft scandal, a stolen medical laptop with patient data, and military computers sold with sensitive data.
File erasure software, like Stellar File Eraser, could have prevented these data breaches by permanently wiping data from hard drives.
In 2023, over one million people reported identity theft incidents, emphasizing the importance of secure data disposal.
Stellar File Eraser securely deletes all traces of online activity, deleted files, application data, and system traces, protecting user privacy.
It works with hard drives, solid-state drives, USB external drives, and flash drives, making it a comprehensive data erasure solution.
By investing in advanced file erasing software like Stellar, users can protect sensitive information and prevent identity theft across Windows devices.
For more information on Stellar File Eraser, visit https://www.stellarinfo.com/data-erasure/file-eraser.php

Read Full Article

12 Likes

Medium

245

Image Credit: Medium

Democracy in Multi-Agent AI Systems — Part 3

Implementing a democratic multi-agent system in AI introduces complexity and trade-offs between speed, accuracy, and system resilience.
Challenges include increased latency, coordination overhead, and the need for sophisticated consensus mechanisms, requiring a careful balance to leverage collective intelligence effectively.
Designing a democratic multi-agent system involves careful engineering and best practices to ensure benefits are not compromised by system flaws.
Key design principles include thoughtful architecture, coordination, and continuous refinement to support reliable and fair functioning of the system.

Read Full Article

14 Likes

Medium

Image Credit: Medium

If You Give Sales a Screenshot

Sales teams often ask for more functionalities after seeing a demo.
They may request additional features and details before closing a deal.
Sales representatives may require a test sandbox, roadmap, and list of features to aid in selling.
Providing detailed information and visual aids to sales can be crucial for successful pitches.

Read Full Article

2 Likes

For uninterrupted reading, download the app

Software News

Discover more