“Testing and control sit at the center of how complex hardware is developed and deployed, but the tools supporting that work haven’t kept pace with system complexity,” said Revel founder and CEO Scott ...
The Microsoft Defender team has discovered a coordinated campaign targeting software developers through malicious repositories posing as legitimate Next.js projects and technical assessment materials, ...
New delivery model applies AI across engineering, testing, DevOps, and analytics to improve speed, transparency, and ...
Software delivery startup Harness Inc. announced today the general availability of Artifact Registry, a new product release that securely manages software packages within the integration and delivery ...
The 2026 Worksoft release embeds AI across change intelligence adaptive automation and insights to help teams reduce ...
Leading web hosting provider Rad Web Hosting announces new partnership with independent-platform VPSBenchmarks allowing ...
Modern software teams work under constant time pressure. They maintain codebases, manage infrastructure, monitor systems, and ...
While more product executives reposition AI sandbox management as a core, centralized platform product, this evolution can be a complex and demanding transition.
AI risk emerges from live systems and processes, not abstract policies or model behavior.
Quality engineering must evolve faster than code; otherwise, agentic AI will move quickly, learn rapidly and fail expensively.
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