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

How Enterprise Teams Are Keeping Up With AI-Generated Code at Scale | Perforce 2026

When AI Starts Shipping Code: Managing the Collision Between Human and AI-Generated Code AI agents don't wait for reviews. They generate code overnight, work across the same codebase in parallel, and produce more changes than any human team can realistically process — creating a new kind of bottleneck we call the Merge Wall. In this session, Perforce engineering leaders break down what happens when human and AI-generated code collide at scale — and how leading teams are building the visibility, governance, and coordination layers required to keep up.

From testing to trust: Why quality engineering is becoming the control plane for AI driven enterprises

Enterprises are under pressure to deliver software faster without sacrificing trust. AI generated code, continuous delivery, and increasingly agentic systems are accelerating change faster than traditional quality practices can validate it. For enterprises running multi-layered tech stacks, weekslong regression cycles and performance issues that are discovered by customers in production are symptoms of a behind-the-scenes quality model that was built for a slower era.
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The Kubeshark Workflow That Doesn't Stop at the Dashboard

The Observability Gap shows up the moment you try to reproduce a production bug locally. Your traces tell you a request was slow. Your logs tell you which line printed. Neither tells you what was actually on the wire: the headers, the JSON body, the surprise field your client started sending last Tuesday. Until now, closing that gap meant SSHing to a node, attaching a debugger, or shipping a sidecar through change review.

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.

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.