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Test Automation Strategy for Growing Software Teams

Build a scalable test automation strategy that improves release speed, reduces defects, and supports growing software teams. from DevOps.com https://ift.tt/yA4cGSo
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Checkmarx Extends Vulnerability Detection to AI Coding Tool from AWS

Checkmarx this week revealed it has added support for the Kiro artificial intelligence (AI) coding tool provided by Amazon Web Services (AWS) to its Checkmarx Developer Assist that leverages AI to surface vulnerabilities before code is committed. The Checkmarx IDE extension for Kiro is designed to be activated from within the Developer Assist tab that […] from DevOps.com https://ift.tt/5i9EPWB
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GitHub Tests AI Agents to Handle Repository Upkeep

GitHub is introducing a new approach to streamline developer workflow, offering AI agents that can shoulder the repetitive tasks that accumulate inside code repositories. Known as Agentic Workflows, the feature is available in technical preview and is designed to embed AI into GitHub Actions as an integrated part of the production process. GitHub promotes Agentic […] from DevOps.com https://ift.tt/onVXOa4
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Secrets Management Failures in CI/CD Pipelines 

Explore the critical role of secrets management in CI/CD pipelines and its impact on cybersecurity. This article highlights the risks of credential exposure, the importance of implementing strong security practices, and how organizations can ensure robust defenses against breaches and supply chain attacks. from DevOps.com https://ift.tt/x1Lq5P6
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CredShields Contributes to OWASP’s 2026 Smart Contract Security Priorities

SINGAPORE, Singapore, 17th February 2026, CyberNewswire from DevOps.com https://ift.tt/tzXWQNe
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Cline CLI 2.0 Turns Your Terminal Into an AI Agent Control Plane

Cline CLI 2.0 brings full AI coding agents to the terminal with parallel execution, headless CI/CD mode, and ACP editor support. Open source, any model. from DevOps.com https://ift.tt/dLj8f3J
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Forget the Vibe-Coders, We Need to Support Responsible AI-Assisted Development 

While AI tools are increasingly used in development, they should enhance rather than replace human input. Developers must shift from merely writing code to orchestrating and validating AI-generated code. This 'spec coding' emphasizes creating specifications that guide both AI and human efforts. Infrastructure must support this transition, with safeguards like reliable build pipelines and automated security scans. Ultimately, AI is a tool to aid developers, but the nuanced responsibilities of design, security, and performance remain firmly in human hands, ensuring responsible and effective use. from DevOps.com https://ift.tt/7h5OfqC
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