Systems | Development | Analytics | API | Testing

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

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.

Building a Digital Banking Platform From Scratch: Architecture Decisions That Scale

Building a digital banking platform from scratch in 2026 is becoming less about launching a banking app and more about designing the right architecture from day one. The industry is moving through a major infrastructure shift. According to McKinsey Financial Services Insights, global fintech revenues crossed nearly 650 billion dollars in 2025, growing at roughly 21 percent year over year.

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.

First look: Agents are coming to your favorite SmartBear products

AI is accelerating how teams build and ship software, but validating quality is getting harder, not easier. More AI-generated code means more to test, more API drift to catch, and more documentation that falls behind. The work is growing faster than teams can keep up.

How to Build a Neobank App: A Step-by-Step Engineering Guide

Digital banking is entering a different phase in 2026. Growth is no longer driven by mobile apps alone. It is being driven by embedded finance, AI powered personalization, instant payments, and API driven banking ecosystems. According to BCG, traditional banks are steadily losing ground to fintechs and digital first banking platforms as customer expectations continue to shift toward real time and seamless financial experiences. At the same time, the market is getting crowded.

Why "Scalable" Architecture Fails Without Stress Testing

Have you ever launched an enterprise application that sailed through every baseline test, only to falter when confronted with real-world demand? When you’re modernizing critical workflows for a major financial institution, a “good enough” architecture is a ticking time bomb. In high-volume operations, performance failures aren't just minor setbacks—they halt transactions, stall back-office teams, and expose the business to significant operational risk.