Prompting
Prompt engineering techniques
25 practitioners working with Prompting:
Addy Osmani's Spec-Driven AI Coding
How Google's Head of Chrome Developer Experience applies structured prompts and specs to get reliable results from coding agents
Ado Kukic's Advent of Claude
How Anthropic's Developer Relations engineer documented 31 days of Claude Code tips, from basics to advanced agent patterns
Alex Albert's Claude Mastery
Anthropic's Claude Relations lead shares the prompting patterns that make Claude most effective
Alexander Opalic's Claude Code Deep Dives
How a German developer became the go-to source for understanding Claude Code's full stack — MCP, skills, subagents, hooks, and plugins
Ali Abdaal's AI Content System: From 2 Hours to 30 Minutes
How a 6M+ subscriber creator uses AI to save 10+ hours per week. Complete breakdown of tools, workflows, and results.
CLAUDE.md Best Practices
Write effective project instructions that Claude reads at every conversation start
Cole Medin's Context Engineering Method
How a YouTube educator turned AI coding into a repeatable system with context engineering, PRPs, and open-source agent builders
Context Rot: When More Tokens Mean Worse Results
LLM performance degrades predictably as context windows fill up. Learn why this happens, how to detect it, and practical strategies to maintain output quality.
Context Window Management
Keep your AI sharp by managing what fits in its working memory
Daniel Miessler's Personal AI Infrastructure
How a security veteran built Fabric and PAI to turn AI tools into a unified cognitive operating system
David Shapiro's ACE Framework
How an AI researcher designed a layered cognitive architecture for building autonomous personal AI systems
Ethan Mollick's Four Rules for AI in Knowledge Work
Research-backed framework from Wharton professor on when and how to use AI for knowledge work, including the Jagged Frontier concept and practical prompting techniques.
Harper Reed's LLM Codegen Workflow
How the former Obama CTO structures AI-assisted development into brainstorm, plan, and execute phases
Kent C. Dodds' AI-Powered Developer Educator Workflow
How the creator of Testing Library and Epic React uses ChatGPT, Copilot, and Cursor to teach hundreds of thousands of developers
Maggie Appleton's Digital Garden: Six Patterns for Building a Personal Knowledge System
Learn Maggie Appleton's proven digital garden framework: topography over timelines, growth indicators, and evergreen notes for public learning.
Omar Khattab's DSPy Framework
How a Stanford PhD built a programming model that replaces brittle prompts with declarative Python code
Peter Yang's AI Content System
How a product lead interviews AI power users and builds systems for content creation at scale
Prompt Engineering for Agent Coding
Structure prompts that make AI coding agents 30-40% more effective
Riley Goodside's Prompt Engineering Patterns
How the world's first Staff Prompt Engineer approaches LLM interaction as an experimental science
Russ Poldrack's Ten Rules for AI-Assisted Scientific Coding
How a Stanford neuroscientist created a rigorous framework for using AI coding agents in research without sacrificing scientific integrity
Simon Willison's Workflow
How the Django co-creator uses CLI tools, SQLite logging, and rapid prototyping to build an AI-powered workflow
Swyx's Learning in Public
Why documenting your learning publicly creates more career opportunities than private study.
Task Decomposition for AI Documentation
Break documentation projects into discrete steps to get accurate, consistent output from AI tools instead of hallucinated garbage.
Tiago Forte's Second Brain + AI
PARA and CODE methods with AI. What works, what doesn't, and where AI actually helps.
Tom Johnson's AI-Assisted Technical Writing Workflow
How the technical writing veteran uses iterative prompting and task decomposition to double his documentation output at Google