Systems | Development | Analytics | API | Testing

The API-First Alternative to RAG for Structured Data | DreamFactory

When it comes to integrating AI with structured data, traditional Retrieval-Augmented Generation (RAG) systems often fall short. They rely on indexing and embedding, which can lead to outdated information, security risks, and inefficiencies. Instead, an API-first approach offers a safer, more precise, and real-time solution for accessing structured enterprise data.

Top 21 API Testing Tools

If a modern application fails in production, the root cause is rarely the UI and almost always an API behaving differently than expected. As systems evolve into microservices, cloud platforms, and distributed architectures, API testing tools quietly determine whether software remains reliable or slowly breaks under real-world usage. If developers trust an API without validating it under load, edge cases, and security constraints, failures are inevitable.

What Leaders Need to Know About AI in Software Quality

The impact of AI on software quality is no longer theoretical, it’s already here. For engineering leaders, this shift represents more than a technical upgrade, it’s a cultural and strategic one. AI is transforming how teams approach quality, enabling faster decisions, improved visibility, and more intelligent prioritization across every stage of the development lifecycle. Traditionally, software quality was managed reactively. Teams waited for issues to surface and then fixed them.

Software Testing Basics Simplified: A Guide For Beginners (2026)

Release day gets tense when a test suite can’t answer one simple question: are we safe to ship? In the conversations I have with engineering and QA teams, the same pattern shows up again and again – confusion in the basics creates chaos later. That’s why software testing basics matter: they turn testing from “random checks” into something teams can trust. Once the fundamentals click, choosing test types, tools, and automation becomes a lot easier.

What's the value of professional services not just for customers, but also internally across teams?

Professional services not only accelerates customer onboarding but also strengthens internal collaboration by sharing success criteria, tracking KPIs, surfacing product feedback, and ensuring a smooth handoff to CSM and support. This creates transparency across teams and helps customers, and Katalon, in continuous improvement and growth. — Mush Honda, Chief Quality Architect at Katalon Follow Katalon for more insights in our series!

Why website security is important for your business?

The significance of website security cannot be overstated, particularly, in the world of web development. The repercussions of a compromised security can be substantial, irrespective of a company's scale. This is underscored by the fact that, on average, it necessitates an expenditure of more than $1.42 million for a company to rectify the aftermath of a cyber attack. Now you know why website security is important.

Unlock Quality at Scale Webinar | Xray Enterprise

A quick overview of Xray Test Management - cutting-edge test management app for Jira. Xray is the leading Quality Assurance and Test Management app for Jira. More than 4.5 million testers, developers and QA managers trust Xray to manage 100+ million test cases each month. Xray is a mission-critical tool at over 5,000 companies in 70 countries, including 137 of the Global 500 like BMW, Samsung and Airbus.

Ep 59 | The Secret to Creating the Cloud-Like Experience Anywhere with Adam Skotnicky

Data complexity is the enemy of innovation. Adam Skotnicky, VP of Engineering at Cloudera and founder of Taikun (acquired by Cloudera), joins host Paul Muller to explain how engineering teams can reclaim simplicity without sacrificing flexibility or control. Together they unpack why most teams are overwhelmed by tooling and operational overhead, how platform engineering can abstract complexity away from users, and what it really means to deliver “cloud-like” agility across hybrid environments.

Stop Checking Clients One-by-One: Multi-Account Analysis with AI

Imagine managing multiple clients and instantly answering "Who has the lowest cost per conversion?" without opening a single spreadsheet. We're going to show you how to use Databox MCP to query multiple client accounts simultaneously and run an instant performance benchmark to compare ad spend and conversion rates side-by-side. About this series: This video is part of our "Chat with Your Data" series, where we explore the Databox MCP.