Experimental News Clipping Site

Tag: pull requests

  • Cloud Blog: Gemini 2.5 Flash and Pro expand on Vertex AI to drive more sophisticated and secure AI innovation

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    Kurt Seifried
    in

    Source URL: https://cloud.google.com/blog/products/ai-machine-learning/expanding-gemini-2-5-flash-and-pro-capabilities/ Source: Cloud Blog Title: Gemini 2.5 Flash and Pro expand on Vertex AI to drive more sophisticated and secure AI innovation Feedly Summary: Today at Google I/O, we’re expanding Gemini 2.5 Flash and Pro model capabilities that help enterprises build more sophisticated and secure AI-driven applications and agents: Thought summaries: For enterprise-grade…

  • OpenAI : Introducing Codex

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    Kurt Seifried
    in

    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…

  • 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
    in

    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…

  • Slashdot: How AI Coding Assistants Could Be Compromised Via Rules File

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    Kurt Seifried
    in

    Source URL: https://developers.slashdot.org/story/25/03/23/2138230/how-ai-coding-assistants-could-be-compromised-via-rules-file?utm_source=rss1.0mainlinkanon&utm_medium=feed Source: Slashdot Title: How AI Coding Assistants Could Be Compromised Via Rules File Feedly Summary: AI Summary and Description: Yes Summary: The text discusses a significant security vulnerability in AI coding assistants like GitHub Copilot and Cursor, highlighting how malicious rule configuration files can be used to inject backdoors and vulnerabilities in…

  • Anchore: Contributing to Vulnerability Data: Making Security Better for Everyone

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    Kurt Seifried
    in

    Source URL: https://anchore.com/blog/contributing-to-vulnerability-data-making-security-better-for-everyone/ Source: Anchore Title: Contributing to Vulnerability Data: Making Security Better for Everyone Feedly Summary: Software security depends on accurate vulnerability data. While organizations like NIST maintain the National Vulnerability Database (NVD), the sheer volume of vulnerabilities discovered daily means that sometimes data needs improvement. At Anchore, we’re working to enhance this ecosystem…

  • Hacker News: Show HN: MCP-Kafka – Natural Language Interface for Kafka Commands

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    Kurt Seifried
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    Source URL: https://github.com/kanapuli/mcp-kafka Source: Hacker News Title: Show HN: MCP-Kafka – Natural Language Interface for Kafka Commands Feedly Summary: Comments AI Summary and Description: Yes Summary: The text discusses the mcp-kafka server, a tool that facilitates interactions between AI assistants and Apache Kafka, enabling essential Kafka client operations. It highlights operations such as creating, deleting,…

  • Hacker News: Cline: Autonomous Coding Agent for VS Code

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    Kurt Seifried
    in

    Source URL: https://github.com/cline/cline Source: Hacker News Title: Cline: Autonomous Coding Agent for VS Code Feedly Summary: Comments AI Summary and Description: Yes Summary: The text introduces Cline, an AI assistant designed for software development that leverages the Claude 3.7 Sonnet’s capabilities to facilitate and enhance coding tasks. By providing a user-friendly interface and enabling seamless…

  • Hacker News: SWE-Bench tainted by answer leakage; real pass rates significantly lower

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    Kurt Seifried
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    Source URL: https://arxiv.org/abs/2410.06992 Source: Hacker News Title: SWE-Bench tainted by answer leakage; real pass rates significantly lower Feedly Summary: Comments AI Summary and Description: Yes Summary: The paper “SWE-Bench+: Enhanced Coding Benchmark for LLMs” addresses significant data quality issues in the evaluation of Large Language Models (LLMs) for coding tasks. It presents empirical analysis revealing…