Prompt Engineering
13 articles about prompt engineering.
Teaching AI Agents Taste Through Examples - Five Good, Five Bad
Showing examples works better than abstract guidelines for AI agents. Five good and five bad examples teach taste more effectively than pages of written rules.
Building AI Agents Changed How I Think - Tools Matter More Than Prompts
After building AI agents, the biggest lesson is that tool design matters far more than prompt engineering. Better tools make mediocre prompts work. Great
I Designed My Claude Code Personality to Challenge Me
Setting up Claude Code with anti-agreeableness and selective pushback produces better results than a compliant agent. The best agent personality challenges
CLAUDE.md Structure for Lossy Context Compression - Top and Bottom Wins
Context windows compress lossily. Structure your CLAUDE.md so critical instructions appear at the top and bottom - redundancy survives compression better
Getting AI Models to Follow Instructions - Atomic Task Decomposition
When Sonnet refuses to follow directions, the fix is not a better prompt. Break tasks into atomic, verifiable steps that leave no room for interpretation or
LLMs Forget Instructions Like ADHD Brains - Instruction Decay in Long Sessions
Instructions fade in long AI agent sessions the same way focus drifts in ADHD brains. Learn about instruction decay and practical mitigation strategies for
Personality Is a Luxury Tax on AI Agents - How Trimming CLAUDE.md Improved Output
Personality is a luxury tax. Trimming CLAUDE.md personality instructions improved code output quality by reducing token waste and keeping the agent focused
Steal Prompt Structure Patterns, Not Content
The valuable part of a good prompt is not the words - it is the structure. How it decomposes tasks, what constraints it enforces, and how it handles edge cases. A guide to building a transferable prompt pattern library.
Stripping Personality from AI Agent Config for 7 Days - The Token Cost of Personality
We removed all personality instructions from our AI agent for a week. The token savings were significant. Personality is a luxury tax on every single agent
How to Structure AI Agent Prompts for Long-Running Tasks
Techniques for maintaining coherence across multi-hour AI agent sessions. Checkpoints, context refreshes, and prompt structure that prevents drift over long
Why 200K Context Models Outperform 1M When You Aggressively Clear Context
The biggest quality jump in AI agent workflows is not upgrading to a larger context window - it is being more aggressive about clearing context between tasks.
The Real AI Coding Skill Is Problem Decomposition, Not Prompt Engineering
The developers who get the most from AI coding tools are not better at prompting. They are better at decomposing problems. Here is the concrete workflow with examples that separate 2x from 10x AI-assisted developers.
The Pottery Era of Software - When Your 20-Line Skill File Grows to 600+
AI skill files start small but evolve into hand-tuned masterpieces through daily iteration. This is the pottery era of software - shaping instructions