Full Tutorial: Build Your Personal OS with Claude Code in 50 Min | Teresa Torres - YouTube
Teresa is a well-known product coach and author who runs her entire life and business using two Claude Code terminals and a note taking app. It was genuinely...
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
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.
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 ...
JustHTML is a fascinating example of vibe engineering in action
I recently came across JustHTML, a new Python library for parsing HTML released by Emil Stenström. It’s a very interesting piece of software, both as a useful library and as …
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...
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
Spec-Driven Development: The Waterfall Strikes Back
Kiro, Spec-kit, Bmad, Tessl, and other SDD frameworks turn business analysts into Markdown reviewers. Isn't there a more agile way to use Coding Agents?
Code research projects with async coding agents like Claude Code and Codex
I’ve been experimenting with a pattern for LLM usage recently that’s working out really well: asynchronous code research tasks. Pick a research question, spin up an asynchronous coding agent and …
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
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.
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...
GPT-5 Thinking in ChatGPT (aka Research Goblin) is shockingly good at search
“Don’t use chatbots as search engines” was great advice for several years... until it wasn’t. I wrote about how good OpenAI’s o3 was at using its Bing-backed search tool back …
Learn how to create custom chat modes in VS Code for GitHub Copilot to enhance your workflow in large, complex projects with specialized AI configurations.