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

Leveling up quality engineering for agentic development

In this guest post, Intellyx Principal Analyst Jason English explores what it takes to level up quality engineering in the age of agentic AI, and why visibility, context, and governance are the keys to getting there. One day in an agentic developer’s life: Developer “CodeBud agent, create me a suite of test cases to validate the feature you just built.” CodeBud Done. Test suite created.

What is Smoke Testing? Meaning, Uses, Examples, and Tools

Every QA tester knows: time is money. When something breaks on your website or web application, it can cause major issues within minutes. One way to catch those problems early is smoke testing. Smoke testing answers one practical question before your team sinks time into deeper QA: is this build stable enough to keep testing? Instead of checking every detail, a smoke test focuses on the core workflows that need to work first.

7 Common Performance Testing Mistakes (and How to Avoid Them) in 2026

Performance testing is a critical safeguard for any software team, but even experienced practitioners can fall into familiar traps. Overlooked bottlenecks, missing test scenarios, or environments that don’t reflect production realities can all lead to slowdowns, user frustration, and lost business. The most damaging mistakes are often the ones that become invisible through routine or assumption.

Beware of PII in Testing Data: The Security Iceberg and Where PII Actually Hides

If you run a platform tools or security team, you have likely heard this request from developers: “I just need a copy of the production database for staging so I can run realistic load and integration tests.” It is a completely reasonable request. Production traffic and data contain the actual request shapes, real-world value distributions, long-tail anomalies, and timing patterns that make tests useful.

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).

Automatically catch API drift before your users do | Swagger Contract Testing

our API didn't break – it just stopped matching its contract. API drift is one of the sneakiest problems in modern API development. Your OpenAPI definition says one thing, your running implementation does another, and nobody notices until a consumer integration fails or a user hits an unexpected error. The longer it goes undetected, the harder it is to trace back to the source.

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.

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.