Systems | Development | Analytics | API | Testing

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With AI Writing Code, Will AI Replace Software Engineers?

Software developers have plenty to keep them awake at night. Their top concern is no longer how to express the latest algorithm in their favorite language (C, C++, Erlang, Java, etc.). Instead, it’s being replaced by artificial intelligence (AI). Here we take a look at the process for AI writing code and answer the question: Will AI replace programmers? Read along or jump ahead to the section that interests you the most.

Securing the Future: The Impact of PSD3 on Payment Security and Fraud Prevention

In the digital age of modernizing payment services and opening financial services, data is a pivotal step in transitioning the payment industry from Open Banking to Open Finance. Through Open Banking, third-party service providers have secured and permissioned access to users’ bank account information. Through Open Finance, customers can securely share non-banking data like mortgages, pensions, insurance, taxes, savings, etc. via APIs.

Transforming Integration: Harnessing the Power of API as a Product for Business Growth

Transform your application programming interfaces into dynamic revenue generators—this is the essence of treating ‘API as a product’. This concise guide provides fundamental insights into how APIs transcend their traditional roles to become standalone products, opening new avenues for customer interaction and business growth.

5 Ways Advertising, Media and Entertainment Companies are Using Gen AI

The emergence of generative AI (gen AI) heralds a new, groundbreaking era for advertising, media and entertainment. According to a recent Snowflake report, Advertising, Media and Entertainment Data + AI Predictions 2024, gen AI is going to transform the industry — from content creation to customer experience. The companies that will come out ahead during this time are those that most successfully and quickly supercharge their data strategy.

Understanding Offset and Cursor-Based Pagination in Node.js

Pagination means dividing a big chunk of data into smaller pages. It unlocks performance benefits for the backend, while also improving UX by sending manageable pieces of data to a client. In this article, we'll explore offset-based and cursor-based server-side pagination approaches, compare them, and implement cursor-based pagination in Node.js. Let's get started!

Understanding The Different Levels Of The Software Testing Pyramid

We all know what a "software" is, but then what is software testing or why is it even important? Let me answer your doubts- Software Testing is a process that involves evaluating software components to ensure they meet specified requirements and are defect-free. The main goal of software testing is to verify that the actual software matches the expected requirements, enhancing the product quality and customer satisfaction.

The Essentials of API Development: A Comprehensive Guide

Navigating API development is essential for creating seamless software interactions. This guide strips back the complexity, offering a clear pathway through the intricacies of API creation, from brass-tacks design principles to advanced security and documentation. Among the APIs we’ll explore for their role in simplifying software interactions is the REST API. This model emphasizes functions like GET, PUT, and DELETE to interact with server data efficiently and statelessly.

What Is Metadata Why Is It Important?

Metadata refers to the information about data that gives it more context and relevance. It records essential aspects of the data (e.g., date, size, ownership, data type, or other data sources) to help users discover, identify, understand, organize, retrieve, and use it—transforming information into business-critical assets. Think of it as labels on a box that describe what’s inside. Metadata makes it easier to find and utilize the data that you need. Typical metadata elements include.

Exploring Data Provenance: Ensuring Data Integrity and Authenticity

Data provenance is a method of creating a documented trail that accounts for data’s origin, creation, movement, and dissemination. It involves storing the ownership and process history of data objects to answer questions like, “When was data created?”, “Who created the data?” and “Why was it created? Data Provenance is vital in establishing data lineage, which is essential for validating, debugging, auditing, and evaluating data quality and determining data reliability.