Tag: Claude Code

  • Simon Willison’s Weblog: My First Open Source AI Generated Library

    Source URL: https://simonwillison.net/2025/Jun/21/my-first-open-source-ai-generated-library/#atom-everything Source: Simon Willison’s Weblog Title: My First Open Source AI Generated Library Feedly Summary: My First Open Source AI Generated Library Armin Ronacher had Claude and Claude Code do almost all of the work in building, testing, packaging and publishing a new Python library based on his design: It wrote ~1100 lines…

  • Simon Willison’s Weblog: Anthropic: How we built our multi-agent research system

    Source URL: https://simonwillison.net/2025/Jun/14/multi-agent-research-system/#atom-everything Source: Simon Willison’s Weblog Title: Anthropic: How we built our multi-agent research system Feedly Summary: Anthropic: How we built our multi-agent research system OK, I’m sold on multi-agent LLM systems now. I’ve been pretty skeptical of these until recently: why make your life more complicated by running multiple different prompts in parallel…

  • Simon Willison’s Weblog: Agentic Coding Recommendations

    Source URL: https://simonwillison.net/2025/Jun/12/agentic-coding-recommendations/ Source: Simon Willison’s Weblog Title: Agentic Coding Recommendations Feedly Summary: Agentic Coding Recommendations There’s a ton of actionable advice on using Claude Code in this new piece from Armin Ronacher. He’s getting excellent results from Go, especially having invested a bunch of work in making the various tools (linters, tests, development servers…

  • Simon Willison’s Weblog: claude-trace

    Source URL: https://simonwillison.net/2025/Jun/2/claude-trace/ Source: Simon Willison’s Weblog Title: claude-trace Feedly Summary: claude-trace I’ve been thinking for a while it would be interesting to run some kind of HTTP proxy against the Claude Code CLI app and take a peek at how it works. Mario Zechner just published a really nice version of that. It works…

  • Hamel’s Blog: LLM Eval FAQ

    Source URL: https://hamel.dev/blog/posts/evals-faq/ Source: Hamel’s Blog Title: LLM Eval FAQ Feedly Summary: Our Course On AI Evals I’m teaching a course on AI Evals with Shreya Shankar. Here are some of the most common questions we’ve been asked. We’ll be updating this list frequently. Q: Is RAG dead? Question: Should I avoid using RAG for…

  • Slashdot: Anthropic Releases Claude 4 Models That Can Autonomously Work For Nearly a Full Corporate Workday

    Source URL: https://slashdot.org/story/25/05/22/1653257/anthropic-releases-claude-4-models-that-can-autonomously-work-for-nearly-a-full-corporate-workday Source: Slashdot Title: Anthropic Releases Claude 4 Models That Can Autonomously Work For Nearly a Full Corporate Workday Feedly Summary: AI Summary and Description: Yes Summary: Anthropic has introduced Claude Opus 4 and Claude Sonnet 4, advanced coding and generative AI models, showcasing significant improvements in performance and capabilities, particularly for development…

  • Tomasz Tunguz: How AI Redefines User Experience

    Source URL: https://www.tomtunguz.com/english-as-input/ Source: Tomasz Tunguz Title: How AI Redefines User Experience Feedly Summary: What if every software spoke English? We asked this question about two years ago but now they do – with AI we can retrofit existing apps to speak English. I don’t want to have to figure out any particular menu to…