Andrej Karpathy's keynote on June 17, 2025 at AI Startup School in San Francisco.

Drawing on his work at Stanford, OpenAI, and Tesla, Andrej sees a shift underway. Software is changing, again. We’ve entered the era of “Software 3.0,” where natural language becomes the new programming interface and models do the rest.

He explores what this shift means for developers, users, and the design of software itself— that we're not just using new tools, but building a new kind of computer.

Slides provided by Andrej: https://drive.google.com/file/d/1a0h1mkwfmV2PlekxDN8isMrDA5evc4wW/view?usp=sharing

If you’re tired of Cursor (or any other AI editor) breaking your code with random errors, this video is for you. I’ll show you how I used Task-Coding to fix 90% of the issues that come from vibe-coding. This method gives Cursor clear structure, better context, and way fewer mistakes. Watch me build a full app with multiple pages, charts, and auth—error-free.

Might be worth noting that using the MAX mode can eat up your costs. You get billed per token for the full context window of the entire chat. There are a few other chat models that you can use without being on MAX mode that still have a great context window, such as the gemini models.

GH Repo: https://github.com/eyaltoledano/claude-task-master

An honest review of Cursor Background Agent on a real task.

Microsoft just made GitHub Copilot free and open source software under the MIT License. As of today, you can fork it, modify it and even build your own billion dollar competitor without going to prison.

Got a lot of questions asking about my stack and what I do when vibe coding. So I made a full video on it!

Builder.ai, a UK-based startup backed by Microsoft and Softbank, has blown its valuation of $1.5 billion and collapsed back to zero. In today's video, we'll find out what went wrong and what it means for the future of ai coding startups.

LangChain became immensely popular when it was launched in 2022, but how can it impact your development and application of AI models, Large Language Models (LLM) in particular. In this video Martin Keen shares an overview of the features and uses of LangChain.

How do AI chatbots deliver better responses? 🤔 Martin Keen explains RAG 🛠️, fine-tuning 🎯, and prompt engineering ✏️—methods that extend knowledge, refine responses, and build domain expertise. Learn how these strategies optimize large language models and improve AI outputs today! 🚀

How can you find images with similar color palettes or landscapes? 🖼️ Martin Keen explains how vector databases use vector embeddings to bridge the semantic gap, enabling advanced semantic search. 🌐 Explore AI innovations like retrieval-augmented generation (RAG) and efficient similarity searches. 🚀