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Tag: plugins

  • Simon Willison’s Weblog: llm-fragment-symbex

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    Kurt Seifried
    in

    Source URL: https://simonwillison.net/2025/Apr/23/llm-fragment-symbex/#atom-everything Source: Simon Willison’s Weblog Title: llm-fragment-symbex Feedly Summary: llm-fragment-symbex I released a new LLM fragment loader plugin that builds on top of my Symbex project. Symbex is a CLI tool I wrote that can run against a folder full of Python code and output functions, classes, methods or just their docstrings and…

  • Cloud Blog: 50% faster merge and 50% fewer bugs: How CodeRabbit built its AI code review agent with Google Cloud Run

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    Kurt Seifried
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    Source URL: https://cloud.google.com/blog/products/ai-machine-learning/how-coderabbit-built-its-ai-code-review-agent-with-google-cloud-run/ Source: Cloud Blog Title: 50% faster merge and 50% fewer bugs: How CodeRabbit built its AI code review agent with Google Cloud Run Feedly Summary: CodeRabbit, a rapidly growing AI code review tool, is leveraging Google Cloud Run to cut code review time and bugs in half by safely and efficiently executing…

  • Simon Willison’s Weblog: llm-fragments-github 0.2

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    Kurt Seifried
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    Source URL: https://simonwillison.net/2025/Apr/20/llm-fragments-github/#atom-everything Source: Simon Willison’s Weblog Title: llm-fragments-github 0.2 Feedly Summary: llm-fragments-github 0.2 I upgraded my llm-fragments-github plugin to add a new fragment type called issue. It lets you pull the entire content of a GitHub issue thread into your prompt as a concatenated Markdown file. (If you haven’t seen fragments before I introduced…

  • Cloud Blog: 229 things we announced at Google Cloud Next 25 – a recap

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    Kurt Seifried
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    Source URL: https://cloud.google.com/blog/topics/google-cloud-next/google-cloud-next-2025-wrap-up/ Source: Cloud Blog Title: 229 things we announced at Google Cloud Next 25 – a recap Feedly Summary: Google Cloud Next 25 took place this week and we’re all still buzzing! It was a jam-packed week in Las Vegas complete with interactive experiences, including more than 10 keynotes and spotlights, 700 sessions,…

  • Simon Willison’s Weblog: llm-fragments-rust

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    by

    Kurt Seifried
    in

    Source URL: https://simonwillison.net/2025/Apr/11/llm-fragments-rust/#atom-everything Source: Simon Willison’s Weblog Title: llm-fragments-rust Feedly Summary: llm-fragments-rust Inspired by Filippo Valsorda’s llm-fragments-go, Francois Garillot created llm-fragments-rust, an LLM fragments plugin that lets you pull documentation for any Rust crate directly into a prompt to LLM. I really like this example, which uses two fragments to load documentation for two crates…

  • Simon Willison’s Weblog: llm-fragments-go

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    Kurt Seifried
    in

    Source URL: https://simonwillison.net/2025/Apr/10/llm-fragments-go/#atom-everything Source: Simon Willison’s Weblog Title: llm-fragments-go Feedly Summary: llm-fragments-go Filippo Valsorda released the first plugin by someone other than me that uses LLM’s new register_fragment_loaders() plugin hook I announced the other day. Install with llm install llm-fragments-go and then: You can feed the docs of a Go package into LLM using the…

  • Cloud Blog: Introducing Firebase Studio and agentic developer tools to build with Gemini

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    Kurt Seifried
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    Source URL: https://cloud.google.com/blog/products/application-development/firebase-studio-lets-you-build-full-stack-ai-apps-with-gemini/ Source: Cloud Blog Title: Introducing Firebase Studio and agentic developer tools to build with Gemini Feedly Summary: Millions of developers use Firebase to engage their users, powering over 70 billion instances of apps every day, everywhere — from mobile devices and web browsers, to embedded platforms and agentic experiences. But full-stack development…

  • Cloud Blog: What’s new with Google Cloud networking

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    Kurt Seifried
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    Source URL: https://cloud.google.com/blog/products/networking/networking-innovations-at-google-cloud-next25/ Source: Cloud Blog Title: What’s new with Google Cloud networking Feedly Summary: The AI era is here, fundamentally reshaping industries and demanding unprecedented network capabilities for training, inference and serving AI models. To power this transformation, organizations need global networking solutions that can handle massive capacity, seamless connectivity, and provide robust security. …