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How to Build AI Workflows with Claude Code (Even If You're Not Technical)
How to Build AI Workflows with Claude Code (Even If You're Not Technical)
Audio Version ($) My writing process used to be messy. I'd start with a brain dump of everything that was swirling in my head. Then I would try to structure it into an outline. But I often lost patience with that. So I'd just start writing. Then I'd realize I didn't know where I was going, so I'd stop and return to the outline. It was a bit of a tortured process as I went back and forth between writing and outlining. But now things look different. When I get stuck, I don't start writing. I a
·producttalk.org·
How to Build AI Workflows with Claude Code (Even If You're Not Technical)
We removed 80% of our agent’s tools - Vercel
We removed 80% of our agent’s tools - Vercel
We spent months building a sophisticated text-to-sql agent, but as it turns out, sometimes simpler is better. Giving it the ability to execute arbitrary bash commands outperformed everything we built. We call this a file system agent.
·vercel.com·
We removed 80% of our agent’s tools - Vercel
GitHub - code-yeongyu/oh-my-opencode: #1 OpenCode Plugin- Battery included. ASYNC SUBAGENTS (YES LIKE CLAUDE CODE) · Curated agents with proper models · Crafted tools like LSP/AST included · Curated MCPs · Claude Code Compatible Layer — Steroids for your OpenCode. The Best LLM Agent Experience is Here. OmO (Pronounced as Oh-Mo)
GitHub - code-yeongyu/oh-my-opencode: #1 OpenCode Plugin- Battery included. ASYNC SUBAGENTS (YES LIKE CLAUDE CODE) · Curated agents with proper models · Crafted tools like LSP/AST included · Curated MCPs · Claude Code Compatible Layer — Steroids for your OpenCode. The Best LLM Agent Experience is Here. OmO (Pronounced as Oh-Mo)
#1 OpenCode Plugin- Battery included. ASYNC SUBAGENTS (YES LIKE CLAUDE CODE) · Curated agents with proper models · Crafted tools like LSP/AST included · Curated MCPs · Claude Code Compatible Layer ...
·github.com·
GitHub - code-yeongyu/oh-my-opencode: #1 OpenCode Plugin- Battery included. ASYNC SUBAGENTS (YES LIKE CLAUDE CODE) · Curated agents with proper models · Crafted tools like LSP/AST included · Curated MCPs · Claude Code Compatible Layer — Steroids for your OpenCode. The Best LLM Agent Experience is Here. OmO (Pronounced as Oh-Mo)
Building Trustworthy AI Agents - Schneier on Security
Building Trustworthy AI Agents - Schneier on Security
The promise of personal AI assistants rests on a dangerous assumption: that we can trust systems we haven’t made trustworthy. We can’t. And today’s versions are failing us in predictable ways: pushing us to do things against our own best interests, gaslighting us with doubt about things we are or that we know, and being unable to distinguish between who we are and who we have been. They struggle with incomplete, inaccurate, and partial context: with no standard way to move toward accuracy, no mechanism to correct sources of error, and no accountability when wrong information leads to bad decisions...
·schneier.com·
Building Trustworthy AI Agents - Schneier on Security
What Is OpenCode?
What Is OpenCode?
Enjoy the videos and music you love, upload original content, and share it all with friends, family, and the world on YouTube.
·youtube.com·
What Is OpenCode?
Stanford CS230 | Autumn 2025 | Lecture 7: Agents, Prompts, and RAG.
Stanford CS230 | Autumn 2025 | Lecture 7: Agents, Prompts, and RAG.
For more information about Stanford’s Artificial Intelligence professional and graduate programs, visit: https://stanford.io/ai November 11, 2025 This lecture covers agents, prompts, and RAG. To learn more about enrolling in this course, visit: https://online.stanford.edu/courses/cs230-deep-learning Please follow along with the course schedule and syllabus: https://cs230.stanford.edu/syllabus/ More lectures will be published regularly. Andrew Ng Founder of DeepLearning.AI Adjunct Professor, Stanford University’s Computer Science Department Kian Katanforoosh CEO and Founder of Workera Adjunct Lecturer, Stanford University’s Computer Science Department
·youtube.com·
Stanford CS230 | Autumn 2025 | Lecture 7: Agents, Prompts, and RAG.
GitHub - microsoft/fara
GitHub - microsoft/fara
Contribute to microsoft/fara development by creating an account on GitHub.
·github.com·
GitHub - microsoft/fara
NEW Kimi K2 Thinking - Best Open Model?
NEW Kimi K2 Thinking - Best Open Model?
In this video, I look at Kimi K2 Thinking from Moonshot AI, the most recent fully open reasoning model that scores higher than GPT-5 and Anthropic for multiple benchmarks. Blog: https://moonshotai.github.io/Kimi-K2/thinking.html Model Weights: https://huggingface.co/moonshotai/Kimi-K2-Thinking For more tutorials on using LLMs and building agents, check out my Patreon Patreon: https://www.patreon.com/SamWitteveen Twitter: https://x.com/Sam_Witteveen 🕵️ Interested in building LLM Agents? Fill out the form below Building LLM Agents Form: https://drp.li/dIMes 👨‍💻Github: https://github.com/samwit/llm-tutorials
·youtube.com·
NEW Kimi K2 Thinking - Best Open Model?
Code Mode: the better way to use MCP
Code Mode: the better way to use MCP
It turns out we've all been using MCP wrong. Most agents today use MCP by exposing the "tools" directly to the LLM. We tried something different: Convert the MCP tools into a TypeScript API, and then ask an LLM to write code that calls that API. The results are striking.
·blog.cloudflare.com·
Code Mode: the better way to use MCP
GitHub - Varietyz/Disciplined-AI-Software-Development: This methodology provides a structured approach for collaborating with AI systems on software development projects. It addresses common issues like code bloat, architectural drift, and context dilution through systematic constraints and validation checkpoints.
GitHub - Varietyz/Disciplined-AI-Software-Development: This methodology provides a structured approach for collaborating with AI systems on software development projects. It addresses common issues like code bloat, architectural drift, and context dilution through systematic constraints and validation checkpoints.
This methodology provides a structured approach for collaborating with AI systems on software development projects. It addresses common issues like code bloat, architectural drift, and context dilu...
·github.com·
GitHub - Varietyz/Disciplined-AI-Software-Development: This methodology provides a structured approach for collaborating with AI systems on software development projects. It addresses common issues like code bloat, architectural drift, and context dilution through systematic constraints and validation checkpoints.