Systems | Development | Analytics | API | Testing

In software development, Test-Driven Development (TDD) and Behavior-Driven Development (BDD) are powerful methodologies that prioritize testing and shape teams' approaches to quality, collaboration, and user satisfaction. Testlio September 27th, 2024 What is TDD? Read the Comprehensive Guide Here Despite their differences, TDD and BDD share a core focus on improving software quality through rigorous testing, ensuring that the code is reliable and meets its intended purpose.

As APIs become an expected feature of software businesses, the most popular web services extend their developer platforms beyond external API, allowing partners to integrate right into their interfaces. With Salesforce’s Lightning platform, Google Docs’ connecting tools like Balsamiq and ShiftEdit, and Trello’s PowerUps, custom experiences powered by third parties is proving itself to be a great way to improve one’s product and grow your business.

A developer portal works as a centralized hub for accessing, managing, and integrating APIs. It supports developers with the tools, documentation, and support they need to succeed. In this article, you’ll learn the top five best practices for creating a dev portal that developers love. Implement Tier-Based Pricing with Moesif 14 day free trial.

At Starwest 2024, Mr. Anand Gopalakrishnan delivered an insightful presentation titled "AI-Assisted Exploratory Testing for Healthcare Software Based on the STEEEP Domain of Healthcare Quality." He highlighted how artificial intelligence is revolutionizing exploratory testing by enabling real-time risk assessment and providing deeper insights into software performance.

While data lakes make it easy to store and analyze a wide variety of data types, they can become data swamps without the proper documentation and governance. Until you solve the biggest data lake challenges — tackling exponential big data growth, costs, and management complexity — efficient and reliable data analytics will remain out of reach.

How are AI governance and data governance related? Better still, what’s more important for an organization to focus on, AI-powered data governance or AI data governance? These are important questions, but before we answer these, let’s understand how AI and data governance are related to each other.

Computational chemistry relies on large volumes of complex data in order to provide insights into new applications, whether it’s for electric vehicles or new battery development. With the emergence of generative AI (GenAI), the rapid, scalable processing of this data has become possible and critical to investigate previously unexplored areas in catalysis and materials science.

The journey from a great idea for a Generative AI use case to deploying it in a production environment often resembles navigating a maze. Every turn presents new challenges—whether it’s technical hurdles, security concerns, or shifting priorities—that can stall progress or even force you to start over.

Ukraine is a leading choice for IT outsourcing, thanks to its skilled talent and strong cultural alignment with Western clients. The country offers a deep pool of tech experts, a solid STEM (Science, Technology, Engineering, and Mathematics) foundation, and a thriving tech industry, making it a valuable option for businesses. When you work with Ukrainian firms, you get reliable software, smooth collaboration, and a shared drive for innovation.

For the last 10+ years, Docker has been one of the leading technology tools for helping developers build, run, update, and manage containers. It is one of the most widely used containerization tools available, able to work with Linux, Microsoft Windows, Apple MacOS, and all of the leading cloud service providers. With over 20 million monthly users, you’ve likely used Docker before, whether for your own projects or as part of a larger team.