learning

A GitHub repository curating project-based programming tutorials across multiple languages, helping developers build applications from scratch.

dair_ai announces a new /learn agent skill that creates a personalized learning plan and a learning hub that adapts to the learner's needs and progress.

Sidegent is a product that teaches users how to build AI agents through hands-on practice.

A clear step-by-step guide to understanding Retrieval-Augmented Generation (RAG), covering explanations, visuals, and various architectures like Naïve RAG, Advanced RAG, Graph RAG, Multimodal RAG, and Agentic RAG.

Explains the Feynman learning method and provides four prompts to use with Claude to overcome the forgetting curve by forcing retrieval and teaching, based on cognitive science research.

A reflection on the joy and power of deeply understanding code and systems, cautioning against over-reliance on LLMs and shortcuts that erode true mastery.

A recommendation of Nancy Lynch's book 'Distributed Algorithms' as a valuable resource for distributed systems professionals.

The article explores how AI is used in education and whether AI editing tools can replace human editors, seeking insights on their real benefits.

Harrison Chase shares insights on the Agent Development Cycle, emphasizing that shipping the first version is only the beginning and that a repeatable lifecycle is key to building reliable agents.

Anthropic master shared a prompt technique: let the AI first hide high-level concepts in a fable, then reveal and explain the metaphor to aid memory and understanding. This method leverages the human brain's preference for stories and images, making it easier to remember than directly giving definitions.

An opinion piece argues that junior developers should not use AI agents in the workplace because agents bypass the learning process, while LLM chat is acceptable as it still requires active thinking.

A guide with 6 prompts to turn Claude into a personal teacher, examiner, resource curator, and study partner, emphasizing structured learning paths, active recall, and feedback loops.

The author shares a new learning method using Claude Code's /teach skill, arguing that AI-guided learning is more efficient than traditional document reading or querying ChatGPT, as it automatically plans lessons and generates interactive courseware.

A curated list of prompt engineering resources including papers, tools, courses, and communities for working with large language models, maintained by PromptSlab.

This article explores the feasibility of becoming an AI Agent Engineer from scratch within six months, discussing the required skills and learning path.

Harriet Hacks releases a free GitHub repository containing over 30 Jupyter notebooks and Python scripts for learning AI security interactively, accompanying her book 'Practical AI Security'.

A blog post reflecting on the process of becoming a machine learning researcher, drawing parallels to Zen meditation and emphasizing the importance of reading, building, focusing on fundamentals, and not chasing benchmarks.

This paper proposes a framework for neocortical learning that meets criteria for computational, algorithmic, and implementational plausibility, using error-driven predictive learning via temporal derivatives and corticothalamic circuits. It suggests potential improvements over backpropagation.

A tweet promoting a collection of system design videos that make learning easier.

DAIR Academy open-sourced a learn skill and plugin marketplace for Claude Code, enabling users to install plugins for AI-assisted learning, image generation, and more.