My Link Drop
A collection of links and resources I've found useful or interesting.
Feel free to explore and contribute!
Resources - ui.land
A Selection of websites, tools, engineers and designers to inspire, learn, and create.
Web UX: Study Guide
Unsure where to start? Use this collection of links to our articles and videos to learn how users interact with the web and how to design effective web user experiences.
GitHub - ykdojo/claude-code-tips: 40+ tips for getting the most out of Claude Code
40+ tips for getting the most out of Claude Code, from basics to advanced - includes a custom status line script, cutting the system prompt in half, using Gemini CLI as Claude Code's minion, an...
GitHub - hesreallyhim/awesome-claude-code: A curated list of awesome commands, files, and workflows for Claude Code
A curated list of awesome commands, files, and workflows for Claude Code - hesreallyhim/awesome-claude-code
AI-powered Software Engineering - by Shrivu Shankar
Dive into the future of coding with "AI-powered Software Engineering" by Shrivu Shankar, where innovative techniques and cutting-edge tools harness the power of artificial intelligence to transform software development and enhance productivity. Discover how to leverage AI for smarter solutions and streamline your engineering processes!
Claude Code: Best practices for agentic coding
This resource from Anthropic provides valuable tips and best practices for using Claude Code, a command line tool for agentic coding, across diverse codebases, languages, and environments, helping learners enhance their coding efficiency and effectiveness.
BMad-Method BMAd Code User Guide
This resource provides a comprehensive guide to the Breakthrough Method for Agile AI-Driven Development as implemented in Claude Code, offering insights into the planning workflow and user interface. Users can expect detailed instructions and practical tips to enhance their development process using this innovative methodology.
Command Line Interface Guidelines
The resource at CLIg.dev offers an open-source guide designed to enhance your command-line program development skills by modernizing traditional UNIX principles. Ideal for both beginners and experienced developers, it emphasizes user accessibility and control in today's computing environment.
5-Day AI Agents Intensive Course with Google
This course was crafted by Google’s ML researchers and engineers to help developers explore the foundations and practical applications of AI agents. You’ll learn the core components – models, tools, orchestration, memory and evaluation. Finally, you’ll discover how agents move beyond LLM prototypes to become production-ready systems.
Agent Engineering: A New Discipline
If you’ve built an agent, you know that the delta between “it works on my machine” and “it works in production” can be huge. Traditional software assumes you mostly know the inputs and can define the outputs. Agents give you neither: users can say literally anything, and the space of possible behaviors is wide open.
A Guide to Claude Code 2.0 and getting better at using coding agents
I noticed that lots of people, both technical and many non-technical or less hands-on people i.e technically-lite people have started to try Claude Code (CC). CC is more of a general agent - you can use it for tasks other than coding as well - like making an excel invoice, data analysis, errands on your machine etc. And of course everything I talk about is by default meant for coding too.
Claude Code: A Highly Agentic Coding Assistant
Discover Claude Code, a powerful coding assistant designed to help learners explore, build, and refine codebases effectively. This resource offers insights and tools to enhance coding skills and project development.
Stanford CS229 I Machine Learning I Building Large Language Models (LLMs)
This lecture from Stanford's CS229 course provides a concise overview of building Large Language Models (LLMs), exploring key concepts and techniques in machine learning. Ideal for learners interested in artificial intelligence, it offers foundational insights into the development and functionality of LLMs.