Model or Scaffolding? Classifying AI Agent Failure Modes
Discover a framework of 41 AI agent failure modes to separate model errors from scaffolding issues and enable automatic error classification in production.
Discover a framework of 41 AI agent failure modes to separate model errors from scaffolding issues and enable automatic error classification in production.
Use the LOOPER skill to critique your /goal loop, set rubrics and budgets, add LLM judges, and export a reusable loop artifact with a diagram.
Cursor introduces visual prompts in Design Mode, shareable Canvas links, and Context Explorer to track token usage across prompts, tools, and rules.
Learn the 8 essential sections of a strong SOUL.md file that defines an AI agent’s identity, voice, boundaries, memory policy, and predictable behavior.
AI Engineer Coach is a local, no-telemetry VS Code extension that analyzes AI coding sessions, flags antipatterns, and helps improve prompts, reviews, and workflow.
Click any UI element in dev mode, annotate changes, and generate exact component context to paste into Claude Code, Cursor, and more.
Use this prompt to make Claude respond like a senior web developer with 20 years of experience—clear, practical guidance, code, and best practices.
GitHub course on Harness Engineering: 12 lessons, 6 projects, and templates to build traceable, resumable, verifiable AI collaboration with consistent results.
Ralph is a 113-line shell script agent loop using Claude prompts. Use /prd to generate PRDs and /ralph to create task plans with validation checkpoints.