Blogs
Your CI Retries are Hiding Real Bugs
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…
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66 articles

Blogs
As AI writes more code, software quality faces new risks. SmartBear research highlights why human oversight, testing and governance remain essential.
Showing 1–24 of 66
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.
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Stale dependency mocks can make CI/CD pipelines pass while production integrations fail. Learn how mock drift undermines reliability and how to prevent it.
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OpenAI’s latest coding benchmarks show substantial improvements in handling COBOL, Fortran and other low-resource languages. But for DevOps teams modernizing legacy applications, t…
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…
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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
Something specific happened to software delivery in the past two years. The 2026 survey data is unusually clear about what it was. Sonar’s 2026 State of Code Developer Survey found…
AI
Anthropic’s AI-native SDLC playbook argues that faster coding is shifting the bottleneck to planning, testing, governance, deployment and operations.
Blogs
Production validation adds a critical business-control layer between testing and deployment, combining data checks, exception review, approvals, reconciliation and operational read…
Blogs
Waterfall 2.0 reimagines classic stage-gated software development for the LLM era, combining fast AI generation with structured validation, cheap backtracking and a shared knowledg…
Blogs
When we started using large language models for API test generation at KushoAI, the results were impressive on the surface. Tests appeared in seconds. Coverage breadth went up. The…
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
Test management tools do more than track results. Learn how they give engineering teams the coverage visibility needed to ship with confidence.
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…
AI
The gap between how fast AI writes code and how reliably teams verify it is quietly becoming a balance-sheet risk. Enterprise leaders are learning to measure it before it forces re…
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
Here is a situation most engineering leaders recognize. You roll out AI coding tools. Features ship faster. Developers are more productive. Then, a few months in, you realize somet…
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…