[!] TOPIC ARCHIVE // #PROMPTING
#Prompting
Prompt engineering techniques
AI sycophancy: why your assistant agrees too much and how to fix it
understanding why AI models default to agreement and what to do about it
Token Efficiency: Fit More in Less
Practical techniques to reduce token usage, optimize context windows, and cut LLM costs without losing quality.
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
Omar Khattab turns prompting into programming
Omar Khattab's DSPy pattern replaces brittle prompt handwork with signatures, modules, optimizers, and evaluation loops that can be inspected and improved.
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.
Cole Medin: Context Engineering, PRPs, and Archon
Cole Medin's context-engineering workflow for AI coding: write Product Requirements Prompts, front-load examples and validation criteria, then wire the pattern into Archon.
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
Tiago Forte's Second Brain + AI
PARA and CODE methods with AI. What works, what doesn't, and where AI actually helps.
Prompt Engineering for Agent Coding
Structure prompts that make AI coding agents 30-40% more effective
CLAUDE.md Best Practices
Write effective project instructions that Claude reads at every conversation start
Riley Goodside's Prompt Engineering Patterns
How the world's first Staff Prompt Engineer approaches LLM interaction as an experimental science
Harper Reed's LLM Codegen Workflow
How the former Obama CTO structures AI-assisted development into brainstorm, plan, and execute phases
Maggie Appleton turns notes into working terrain
Maggie Appleton shows how public notes become living terrain: mapped, linked, visual, and useful for AI-era design work.
Alex Albert's Claude Mastery
Anthropic's Claude Relations lead shares the prompting patterns that make Claude most effective
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.
Task Decomposition for AI Documentation
Break documentation projects into discrete steps to get accurate, consistent output from AI tools instead of hallucinated garbage.
Context Window Management
Keep your AI sharp by managing what fits in its working memory
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
Swyx's Learning in Public
Why documenting your learning publicly creates more career opportunities than private study.
David Shapiro's ACE Framework
How an AI researcher designed a layered cognitive architecture for building autonomous personal AI systems
Peter Yang's AI Content System
How a product lead interviews AI power users and builds systems for content creation at scale
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
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
Simon Willison's Workflow
How the Django co-creator uses CLI tools, SQLite logging, and rapid prototyping to build an AI-powered workflow
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