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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.

Deployment Strategies Every Developer Should Know

The first time I watched a deployment take down a production app, I was a junior engineer with no idea what a deployment strategy actually was. I assumed "deploying" just meant pushing code and refreshing the page. Deployment strategies are the structured approaches development teams use to release software updates into production, defining how, when, and how safely code moves from a repository into the hands of real users.

OctoPerf new AI feature - Run your entire load testing campaign using your LLM.

This innovation acts as a true accelerator for performance testing. Connected to your favorite LLM (ChatGPT, Claude, Gemini, Mistral, or a local model), it enables you to manage an entire testing campaign end-to-end using natural language: script creation and maintenance, automatic correlation, load configuration, test execution, results analysis, and optimization recommendations.

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.

Katalon + Jira Integration: The Complete Guide to End-to-End Quality Tracking

If your team runs automated tests in Katalon Studio and relies on Jira test management to track defects, you already know the friction: a test fails, a tester screenshots the error, opens Jira, creates a ticket manually, pastes in the log, and attaches the file. Multiply that by dozens of failures per sprint, and you have a process that eats hours and invites human error. Katalon Jira integration eliminates that bottleneck entirely.