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bugraptors

Beyond Brittle Code: Scaling Enterprise QA with Machine Learning in Test Automation

Jul 16, 2026 By Raghav Vashishth In BugRaptors
As product delivery cadences shrink, traditional quality assurance approaches are reaching operational constraints. Traditional scripted test scripts, albeit a tried-and-true method in the past, can no longer keep up with the onslaught of dynamic code changes, changing microfrontends, and CI pipelines. In many cases, just changing a label or making a small modification to a layout may break whole integration suites and create huge backlogs.
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kong

Kong and ModelOp Partner to Deliver Zero-Trust Security for the Agentic Enterprise

Jul 16, 2026 By Claudio Acquaviva In Kong
We're thrilled to announce a strategic technology partnership between **Kong** and **ModelOp**. As enterprises rapidly transition into the agentic era, they face a critical challenge: how to deploy AI fast enough to stay competitive without taking on unacceptable regulatory or security risks. Together, **ModelOp** and **Kong** are solving the "last mile" problem of enterprise AI delivery.
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kong

Announcing Kong AI Gateway 2.0: Built for the Pace of Agentic AI

Jul 16, 2026 By Alex Drag In Kong
We have big news for platform and AI infra teams: *Kong AI Gateway 2.0 is available today in private beta*. It runs on its own dedicated runtime, ships on its own release cadence, and carries a completely reimagined user experience designed around the way teams actually build with AI: models, MCP servers, and agents as first-class citizens, not plugins bolted onto an API gateway.
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InsightSoftware

AI to Write Rules, or AI to Make Decisions?

Jul 16, 2026 By InsightSoftware In InsightSoftware
Last April FloQast, an American maker of accounting software, published something unusual: a detailed engineering post on Amazon Web Services’ machine-learning blog, co-authored with AWS personnel, explaining precisely how its AI-powered transaction-matching feature works under the hood. The post described cloud infrastructure, model selection, and the specific technique (generating matching rules from user-supplied examples) that powers its AutoRec product.
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How to design & test APIs with OpenAPI & Swagger | What's changed in 3.1 & 3.2

Jul 15, 2026 By SmartBear In SmartBear
Outdated API docs and last-minute bugs cost teams time and trust. Learn how the OpenAPI Specification help you document, govern, and test your APIs from design to deployment – all inside SmartBear Swagger. SmartBear's Yousaf Nabi, Developer Advocate, and Chris Armstrong, Manager of Developer Relations, explain why API documentation drifts out of sync and walk through what's changed between OpenAPI 3.0, 3.1, and 3.2. After covering a brief history of Swagger and the OpenAPI specification, they demo the full API workflow across Swagger.
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Cloudera Agent Studio & Iceberg MCP to Monitor Table Health

Jul 15, 2026 By Cloudera, Inc. In Cloudera
In this video, Cloudera’s Dipankar demonstrates how to build an AI agent in Cloudera Agent Studio powered by an open-source Apache Iceberg MCP Server. As a real-world use case, the agent monitors Apache Iceberg table health by analyzing metadata for issues such as small files, partition skew, snapshot history, and other operational signals. Subscribe to stay ahead of the curve with the latest in data strategy, open architectures, and enterprise AI innovations.
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tricentis

NeoLoad 2026.2: Enable scaled performance validation across teams

Jul 15, 2026 By Jason Secola In Tricentis
Performance engineering teams are already stretched. AI-accelerated development means more code, more releases, and more pressure on the people responsible for making sure it all holds up. Tricentis NeoLoad 2026.2 is built around a straightforward premise: performance validation must scale to match the pace of delivery, and that means more than just making specialists faster.
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