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The latest News and Information on Software Testing and related technologies.

API Testing in Katalon Studio: Step-by-Step Guide (2026)

API testing has become one of the highest-value activities a QA team can invest in. Because APIs operate at the business logic layer, below the user interface and above the database, tests written there are faster to execute, more stable across releases, and far cheaper to maintain than their UI counterparts. In the test pyramid, API tests occupy the middle tier: broader than unit tests, but a fraction of the cost of end-to-end UI suites.

BaaS vs. Embedded Finance vs. Open Banking: A Technical Decision Guide for Platform Companies

The fintech landscape in 2026 is no longer a wild frontier but a structured ecosystem governed by high-velocity APIs and rigorous compliance. Yet, for platform companies, a fundamental clarity gap remains. The terms BaaS vs embedded finance vs open banking are often used interchangeably by marketing teams, but for a CTO or Product Lead, confusing them is a million-dollar mistake.

Architecting Reliable AI: The Complete Technical Framework for Multi-Agent System Testing

The conversation around AI validation has rapidly outgrown simple prompt engineering and single-turn model checks. While the industry spent the last few years establishing baseline protocols for individual AI agent testing, enterprise automation has already advanced to the next engineering frontier: the Multi-Agent System (MAS).

Build WireMock mappings fast from real traffic

I’m a big fan of service mocking. I’ve been working in and around software for about 25 years, and one thing never changes: when you sit down to work on your code, you almost never have everything available. The database, the third-party API, the message queue, the service two teams over. Something’s missing. So you’ve got to stub it out or mock it out and keep moving.

The Hidden Cost of AI Testing: Stop Burning LLM Tokens in Your CI/CD Pipeline

AI testing against live LLM APIs can quietly drive massive token costs across development, QA, and CI/CD pipelines. Every test execution consumes real tokens—at production rates—creating hidden, variable costs that scale with your AI adoption. In this video, discover how leading enterprises are eliminating LLM token spend using service virtualization. Learn how BlazeMeter intercepts API calls, simulates realistic AI responses (completions, embeddings, and large payloads), and enables full-scale testing without invoking live models.

Automotive Industry Trends 2026: AI in Automotive Software Development

Since the first vehicles were rolled out to customers, automakers have competed to deliver the newest features and the greatest benefits to the driving experience. Today, that competition is less about shaping a car’s physical characteristics and more about making cars smarter and more connected to the world around them. With thousands of car models and trim levels available worldwide, there is a fierce need to find new ways to stand out from the competition.

How to Build a BaaS Platform: Architecture, Licensing, and Go-to-Market Engineering

Banking as a Service is no longer sitting quietly behind fintech apps. It is becoming the infrastructure layer powering modern digital businesses. SaaS platforms want wallets and embedded payments. Ecommerce companies want merchant banking features. Healthcare apps want financing and payout rails built directly into patient workflows. According to Bain & Company, embedded finance transaction value in the US alone could exceed $7 trillion by 2026.

Five things your logs will never tell you

A customer escalation hit my queue when I was on the customer smoke jumpers team at an observability vendor. My team was the group that parachutes into Fortune 500 accounts one bad week from churning and usually after a big customer outage. The customer had filed a billing dispute three weeks earlier and their on-call engineers were stuck. They had our full stack: logs, metrics, traces, end-to-end instrumentation, every product we sold and some we didn’t. They could see the request came in.