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Tag: autocomplete

  • Scott Logic: Leveraging Copilot to rapidly refactor test automation

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    Kurt Seifried
    in

    Source URL: https://blog.scottlogic.com/2025/09/10/leveraging-copilot-for-refactoring.html Source: Scott Logic Title: Leveraging Copilot to rapidly refactor test automation Feedly Summary: This blog explores how to best use GitHub Copilot to swiftly refactor existing test automation AI Summary and Description: Yes **Short Summary with Insight:** The text discusses the challenges and solutions related to test automation, particularly focusing on using…

  • Simon Willison’s Weblog: More model releases on 31st July

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    Kurt Seifried
    in

    Source URL: https://simonwillison.net/2025/Jul/31/more-models/ Source: Simon Willison’s Weblog Title: More model releases on 31st July Feedly Summary: Here are a few more model releases from today, to round out a very busy July: Cohere released Command A Vision, their first multi-modal (image input) LLM. Like their others it’s open weights under Creative Commons Attribution Non-Commercial, so…

  • Simon Willison’s Weblog: microsoft/vscode-copilot-chat

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    Kurt Seifried
    in

    Source URL: https://simonwillison.net/2025/Jun/30/vscode-copilot-chat/#atom-everything Source: Simon Willison’s Weblog Title: microsoft/vscode-copilot-chat Feedly Summary: microsoft/vscode-copilot-chat As promised at Build 2025 in May, Microsoft have released the GitHub Copilot Chat client for VS Code under an open source (MIT) license. So far this is just the extension that provides the chat component of Copilot, but the launch announcement promises…

  • Scott Logic: Making Sense of the AI Developer Tools Ecosystem

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    Kurt Seifried
    in

    Source URL: https://blog.scottlogic.com/2025/04/01/making-sense-of-the-ai-developer-tools-ecosystem.html Source: Scott Logic Title: Making Sense of the AI Developer Tools Ecosystem Feedly Summary: The AI developer tooling landscape has rapidly expanded from simple autocomplete to a complex ecosystem of assistants, agents, and AI-first environments. In this post, I propose a practical classification based on how AI is positioned within your workflow—from…

  • Hacker News: Cursor uploads .env file with secrets despite .gitignore and .cursorignore

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    Kurt Seifried
    in

    Source URL: https://forum.cursor.com/t/env-file-question/60165 Source: Hacker News Title: Cursor uploads .env file with secrets despite .gitignore and .cursorignore Feedly Summary: Comments AI Summary and Description: Yes Summary: The text discusses a significant vulnerability in the Cursor tool, where sensitive development secrets could be leaked due to improper handling of .env files. The author’s experience highlights the…

  • Hacker News: Show HN: TypeLeap: LLM Powered Reactive Intent UI/UX

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    Kurt Seifried
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    Source URL: https://www.typeleap.com/ Source: Hacker News Title: Show HN: TypeLeap: LLM Powered Reactive Intent UI/UX Feedly Summary: Comments AI Summary and Description: Yes Summary: The text introduces TypeLeap UI/UX, a dynamic interface concept that uses Large Language Models (LLMs) to interpret user intent in real-time as they type. This innovative approach aims to transform user…

  • Hacker News: What I’ve learned about writing AI apps so far

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    Kurt Seifried
    in

    Source URL: https://seldo.com/posts/what-ive-learned-about-writing-ai-apps-so-far Source: Hacker News Title: What I’ve learned about writing AI apps so far Feedly Summary: Comments AI Summary and Description: Yes Summary: The text provides insights on effectively writing AI-powered applications, specifically focusing on Large Language Models (LLMs). It offers practical advice for practitioners regarding the capabilities and limitations of LLMs, emphasizing…

  • Hacker News: Test-Driven Development with an LLM for Fun and Profit

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    Kurt Seifried
    in

    Source URL: https://blog.yfzhou.fyi/posts/tdd-llm/ Source: Hacker News Title: Test-Driven Development with an LLM for Fun and Profit Feedly Summary: Comments AI Summary and Description: Yes **Summary:** The text discusses the integration of AI into software development practices, particularly focusing on the use of Large Language Models (LLMs) like GitHub Copilot in Test-Driven Development (TDD). It highlights…