Experimental News Clipping Site

Tag: Debugging

  • Cloud Blog: Next 25 developer keynote: From prompt, to agent, to work, to fun

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    Kurt Seifried
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    Source URL: https://cloud.google.com/blog/topics/google-cloud-next/next25-developer-keynote-recap/ Source: Cloud Blog Title: Next 25 developer keynote: From prompt, to agent, to work, to fun Feedly Summary: Attending a tech conference like Google Cloud Next can feel like drinking from a firehose — all the news, all the sessions, and breakouts, all the learning and networking… But after a busy couple…

  • The Cloudflare Blog: How we simplified NCMEC reporting with Cloudflare Workflows

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    Kurt Seifried
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    Source URL: https://blog.cloudflare.com/simplifying-ncmec-reporting-with-cloudflare-workflows/ Source: The Cloudflare Blog Title: How we simplified NCMEC reporting with Cloudflare Workflows Feedly Summary: We transitioned to Cloudflare Workflows to manage complex, multi-step processes more efficiently. This shift replaced our National Center for Missing & Exploited Children (NCMEC) reporting system. AI Summary and Description: Yes Summary: The text outlines Cloudflare’s implementation…

  • Slashdot: AI Models Still Struggle To Debug Software, Microsoft Study Shows

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    Kurt Seifried
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    Source URL: https://developers.slashdot.org/story/25/04/11/0519242/ai-models-still-struggle-to-debug-software-microsoft-study-shows Source: Slashdot Title: AI Models Still Struggle To Debug Software, Microsoft Study Shows Feedly Summary: AI Summary and Description: Yes Summary: The study by Microsoft Research highlights the limitations of popular AI models, such as Anthropic’s Claude 3.7 Sonnet and OpenAI’s o3-mini, in successfully debugging software. Despite advancements, AI still falls short…

  • The Cloudflare Blog: Introducing Workers Observability: logs, metrics, and queries – all in one place

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    Kurt Seifried
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    Source URL: https://blog.cloudflare.com/introducing-workers-observability-logs-metrics-and-queries-all-in-one-place/ Source: The Cloudflare Blog Title: Introducing Workers Observability: logs, metrics, and queries – all in one place Feedly Summary: We’ve improved Observability for Workers by announcing the General Availability of Workers Logs and the introduction of the Query Builder to help you investigate log events across all of your Workers. AI Summary…

  • 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…

  • Simon Willison’s Weblog: Quoting Nolan Lawson

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    Kurt Seifried
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    Source URL: https://simonwillison.net/2025/Apr/3/nolan-lawson/#atom-everything Source: Simon Willison’s Weblog Title: Quoting Nolan Lawson Feedly Summary: I started using Claude and Claude Code a bit in my regular workflow. I’ll skip the suspense and just say that the tool is way more capable than I would ever have expected. The way I can use it to interrogate a…

  • Hacker News: Get the hell out of the LLM as soon as possible

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    Kurt Seifried
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    Source URL: https://sgnt.ai/p/hell-out-of-llms/ Source: Hacker News Title: Get the hell out of the LLM as soon as possible Feedly Summary: Comments AI Summary and Description: Yes Summary: The text emphasizes that large language models (LLMs) should not be entrusted with decision-making or core application logic due to their inherent limitations. Instead, they should serve strictly…

  • Simon Willison’s Weblog: debug-gym

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    Kurt Seifried
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    Source URL: https://simonwillison.net/2025/Mar/31/debug-gym/#atom-everything Source: Simon Willison’s Weblog Title: debug-gym Feedly Summary: debug-gym New paper and code from Microsoft Research that experiments with giving LLMs access to the Python debugger. They found that the best models could indeed improve their results by running pdb as a tool. They saw the best results overall from Claude 3.7…