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@devopsdotcom
Where the world meets DevOps. Powered by @TechstrongGroup.
devops.com
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    DevOps.com
    @devopsdotcom
    16h
    Arm’s Dynamic Insights uses runtime data and AI to help developers find performance bottlenecks and optimize workloads without deep processor expertise. The tool could make performance tuning more accessible as rising compute demands put greater pressure on software efficiency.
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    Arm Adds AI Tool to Optimize Workloads Using Runtime Data - DevOps.com
    From devops.com
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    DevOps.com
    @devopsdotcom
    17h
    ProjectDiscovery’s Neo 1.0 uses autonomous AI testing to find and validate exploitable vulnerabilities while reducing false positives. The platform brings continuous security testing into DevSecOps workflows as AI accelerates both vulnerability discovery and exploitation. Read
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    ProjectDiscovery Brings Open Source AI Testing to Vulnerability Discovery - DevOps.com
    From devops.com
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    DevOps.com
    @devopsdotcom
    23h
    Reflex has open-sourced xy, a Python charting library that uses Rust to render charts with up to 10 million points in roughly 80 milliseconds while preserving data detail. By only sending pixel-necessary data to the browser, xy enables live dashboards and interactive files as
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    Reflex's Newly Open-Sourced XY Library Offers Faster Python Charting - DevOps.com
    From devops.com
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    DevOps.com
    @devopsdotcom
    Aug 12
    The LiteLLM supply-chain attack exposed more than 2,500 companies and roughly 434,000 CI/CD pipelines after TeamPCP used a single un-revoked token to poison releases through the Trivy scanner and LiteLLM build system. The malicious packages were available for only about 40
    Image
    LiteLLM Attack Affected 2,500 Companies, 434,000 CI/CD Pipelines: CloudSEK - DevOps.com
    From devops.com
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    DevOps.com
    @devopsdotcom
    Aug 12
    A new survey of 400 business and engineering executives finds 80% have traced a production incident, outage, or customer-impacting defect to AI-generated code in the past 12 months, yet only 6% say they test that code with AI tools often or always. Despite positive ROI and
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    Survey Surfaces Rising Tide of Production Issues Traced Back to AI Code - DevOps.com
    From devops.com

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