Blogs
The New Frontier: Managing Human+AI Agent Software Development Teams
As AI writes more code, software quality faces new risks. SmartBear research highlights why human oversight, testing and governance remain essential.
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34 articles

Blogs
AI coding agents are driving up CI workloads and costs. Discover five ways to accelerate monorepo pipelines while protecting software quality.
Showing 1–24 of 34
Blogs
As AI writes more code, software quality faces new risks. SmartBear research highlights why human oversight, testing and governance remain essential.
Blogs
Test retries keep CI pipelines green, but they can also conceal genuine software defects. An experiment involving 41,200 test runs shows how a persistent bug escaped detection in 9…
Blogs
Every demo from an AI testing tool vendor ends with a promise to cut test design effort from hours to minutes. Surprisingly, one important question is missing from these conversati…
Blogs
Playwright is transforming browser automation for modern CI/CD, but AI-generated tests raise new questions about reliability and trust.
Blogs
Stale dependency mocks can make CI/CD pipelines pass while production integrations fail. Learn how mock drift undermines reliability and how to prevent it.
AI
Mabl today extended its test automation platform with a harness that, in addition to enforcing guardrails and testing standards for artificial intelligence (AI) agents, enables app…
Blogs
Modern enterprise applications demand testing strategies that can keep pace with continuous delivery, distributed architectures, and increasingly complex deployment pipelines. Trad…
Blogs
Game testing has always been an unpredictability problem for developers. Players move in the wrong direction, trigger events out of order, or combine mechanics no designer anticipa…
Blogs
Traffic-based dependency mocking turns frequent upstream deployments into opportunities to refresh mocks from real behavior and reduce integration test drift.
Blogs
Every software team eventually runs into the same question: How much testing is enough? For years, the default answer has been “more.” More automated tests. More regression suites.…
AI
When an end-to-end test fails after a front-end change, the repair often looks routine. A class name changed. A button moved. A selector that used to be unique now matches two elem…
Blogs
Sandbox testing works well when your team controls both sides of the integration. You define the service, you define the mock, you know exactly what the sandbox should return. That…
Blogs
Predictions from some of the most prominent voices in the technology industry suggest that software engineering could become increasingly obsolete within a year, jolting the develo…
Blogs
Ask any engineering team if they can build their own test automation framework, and the answer is almost always “yes.” With modern AI tools involved, that answer arrives faster and…
Blogs
For most of the past decade, the conversation around regression testing tools was fairly stable. The tools got faster, the integrations got smoother, and the underlying approach st…
Blogs
Build a scalable test automation strategy that improves release speed, reduces defects, and supports growing software teams.
AI
In the DevOps world, with its faster release cycles and continuous delivery, quality assurance (QA) cannot be sidelined until the end of the process. Companies that actively use au…
AI
DevOps automation is shifting from complex, monolithic pipelines to lean, modular, AI-enhanced workflows—driving efficiency, cost savings, and better developer experience.
Blogs
Organizations can harness the full power of GenAI to drive innovation in software testing and deliver high-quality software products.
AI
Advances in automated testing have great potential, but there are also downsides to consider as the technology matures.
Application Performance Management/Monitoring
DevOps professionals have several common hurdles to successful implementation. Here are five technologies that can help.
Blogs
With generative AI, legacy systems will be more likely to modernize software sooner and pay off technical debt more quickly.
Blogs
As organizations strive for faster application delivery and uncompromising software quality, traditional approaches to test automation fall short. With the emergence of low-code/no…