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Tag: codebase

  • Cloud Blog: 150 of the latest AI use cases from leading startups and digital natives

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    Kurt Seifried
    in

    Source URL: https://cloud.google.com/blog/topics/startups/150-ai-use-cases-leading-startups-and-digital-natives/ Source: Cloud Blog Title: 150 of the latest AI use cases from leading startups and digital natives Feedly Summary: We recently hosted our first-ever AI Builders Forum, where we gathered with hundreds of the top founders, VCs, advisors, researchers, and teams powering the startups who are building the future with AI. And…

  • Slashdot: Are Software Registries Inherently Insecure?

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    Kurt Seifried
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    Source URL: https://developers.slashdot.org/story/25/10/05/2318202/are-software-registries-inherently-insecure?utm_source=rss1.0mainlinkanon&utm_medium=feed Source: Slashdot Title: Are Software Registries Inherently Insecure? Feedly Summary: AI Summary and Description: Yes Summary: The text discusses the persistent issues related to software supply chain attacks, emphasizing weaknesses in the design of software registries like npm, PyPI, and Docker Hub. It highlights how inadequate safeguards allowed for multiple registry breaches…

  • Simon Willison’s Weblog: Daniel Stenberg’s note on AI assisted curl bug reports

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    Kurt Seifried
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    Source URL: https://simonwillison.net/2025/Oct/2/curl/ Source: Simon Willison’s Weblog Title: Daniel Stenberg’s note on AI assisted curl bug reports Feedly Summary: Daniel Stenberg’s note on AI assisted curl bug reports Curl maintainer Daniel Stenberg on Mastodon: Joshua Rogers sent us a massive list of potential issues in #curl that he found using his set of AI assisted…

  • Anchore: Can an LLM Really Fix a Bug? A Start-to-Finish Case Study

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    Kurt Seifried
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    Source URL: https://anchore.com/blog/can-an-llm-really-fix-a-bug-a-start-to-finish-case-study/ Source: Anchore Title: Can an LLM Really Fix a Bug? A Start-to-Finish Case Study Feedly Summary: The software industry faces a growing problem: we have far more open issues than we have contributors multiplied by available time. Every project maintainer knows this pain. We certainly recognize this across our open source tools…

  • Cloud Blog: Announcing Claude Sonnet 4.5 on Vertex AI

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    Kurt Seifried
    in

    Source URL: https://cloud.google.com/blog/products/ai-machine-learning/announcing-claude-sonnet-4-5-on-vertex-ai/ Source: Cloud Blog Title: Announcing Claude Sonnet 4.5 on Vertex AI Feedly Summary: Today, we’re announcing the general availability of Claude Sonnet 4.5, Anthropic’s most intelligent model and its best-performing model for complex agents, coding, and computer use, on Vertex AI.Claude Sonnet 4.5 is built to work independently for hours, maintaining clarity…

  • The Cloudflare Blog: Cloudflare just got faster and more secure, powered by Rust

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    Kurt Seifried
    in

    Source URL: https://blog.cloudflare.com/20-percent-internet-upgrade/ Source: The Cloudflare Blog Title: Cloudflare just got faster and more secure, powered by Rust Feedly Summary: We’ve replaced the original core system in Cloudflare with a new modular Rust-based proxy, replacing NGINX. AI Summary and Description: Yes **Summary:** The text discusses Cloudflare’s significant updates to its network software, transitioning from FL1…

  • Simon Willison’s Weblog: CompileBench: Can AI Compile 22-year-old Code?

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    Kurt Seifried
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    Source URL: https://simonwillison.net/2025/Sep/22/compilebench/ Source: Simon Willison’s Weblog Title: CompileBench: Can AI Compile 22-year-old Code? Feedly Summary: CompileBench: Can AI Compile 22-year-old Code? Interesting new LLM benchmark from Piotr Grabowski and Piotr Migdał: how well can different models handle compilation challenges such as cross-compiling gucr for ARM64 architecture? This is one of my favorite applications of…