Experimental News Clipping Site

Tag: development work

  • Anchore: Time to Take Another Look at Grype: A Year of Major Improvements

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    Kurt Seifried
    in

    Source URL: https://anchore.com/blog/time-to-take-another-look-at-grype-a-year-of-major-improvements/ Source: Anchore Title: Time to Take Another Look at Grype: A Year of Major Improvements Feedly Summary: If you last tried Grype a year ago and haven’t checked back recently, you’re in for some pleasant surprises. The past twelve months have significantly improved the accuracy and performance of our open source vulnerability…

  • Anchore: How to Use Anchore & DefectDojo to Stand Up Your DevSecOps Function

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    Kurt Seifried
    in

    Source URL: https://anchore.com/webinars/how-to-use-anchore-defectdojo-to-stand-up-your-devsecops-function/ Source: Anchore Title: How to Use Anchore & DefectDojo to Stand Up Your DevSecOps Function Feedly Summary: The post How to Use Anchore & DefectDojo to Stand Up Your DevSecOps Function appeared first on Anchore. AI Summary and Description: Yes Summary: The text discusses the implementation of Anchore and DefectDojo to enhance…

  • Schneier on Security: What LLMs Know About Their Users

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    Kurt Seifried
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    Source URL: https://www.schneier.com/blog/archives/2025/06/what-llms-know-about-their-users.html Source: Schneier on Security Title: What LLMs Know About Their Users Feedly Summary: Simon Willison talks about ChatGPT’s new memory dossier feature. In his explanation, he illustrates how much the LLM—and the company—knows about its users. It’s a big quote, but I want you to read it all. Here’s a prompt you…

  • Simon Willison’s Weblog: Quoting David Crawshaw

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    Kurt Seifried
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    Source URL: https://simonwillison.net/2025/Jun/9/david-crawshaw/#atom-everything Source: Simon Willison’s Weblog Title: Quoting David Crawshaw Feedly Summary: The process of learning and experimenting with LLM-derived technology has been an exercise in humility. In general I love learning new things when the art of programming changes […] But LLMs, and more specifically Agents, affect the process of writing programs in…

  • Slashdot: Anthropic Releases Claude 4 Models That Can Autonomously Work For Nearly a Full Corporate Workday

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    Kurt Seifried
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    Source URL: https://slashdot.org/story/25/05/22/1653257/anthropic-releases-claude-4-models-that-can-autonomously-work-for-nearly-a-full-corporate-workday Source: Slashdot Title: Anthropic Releases Claude 4 Models That Can Autonomously Work For Nearly a Full Corporate Workday Feedly Summary: AI Summary and Description: Yes Summary: Anthropic has introduced Claude Opus 4 and Claude Sonnet 4, advanced coding and generative AI models, showcasing significant improvements in performance and capabilities, particularly for development…

  • Docker: Introducing Docker Hardened Images: Secure, Minimal, and Ready for Production

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    Kurt Seifried
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    Source URL: https://www.docker.com/blog/introducing-docker-hardened-images/ Source: Docker Title: Introducing Docker Hardened Images: Secure, Minimal, and Ready for Production Feedly Summary: From the start, Docker has focused on enabling developers to build, share, and run software efficiently and securely. Today, Docker Hub powers software delivery at a global scale, with over 14 million images and more than 11…

  • OpenAI : Addendum to o3 and o4-mini system card: Codex

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    Kurt Seifried
    in

    Source URL: https://openai.com/index/o3-o4-mini-codex-system-card-addendum Source: OpenAI Title: Addendum to o3 and o4-mini system card: Codex Feedly Summary: Codex is a cloud-based coding agent. Codex is powered by codex-1, a version of OpenAI o3 optimized for software engineering. codex-1 was trained using reinforcement learning on real-world coding tasks in a variety of environments to generate code that…

  • OpenAI : Introducing Codex

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    Kurt Seifried
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    Source URL: https://openai.com/index/introducing-codex Source: OpenAI Title: Introducing Codex Feedly Summary: Introducing Codex: a cloud-based software engineering agent that can work on many tasks in parallel, powered by codex-1. With Codex, developers can simultaneously deploy multiple agents to independently handle coding tasks such as writing features, answering questions about your codebase, fixing bugs, and proposing pull…