Tag
#Agents
9 posts
Superpowers: The Workflow That Teaches AI Agents Discipline
Superpowers makes coding agents slow down, ask questions, write plans, and test first. The result is less flashy AI code, but much more trustworthy code.
Stop Context Rot: How Get Shit Done Powers the Ultimate 10x Agentic Engine
A deep dive into GSD (Get Shit Done), a powerful meta-prompting and context-engineering system that averts AI context rot for Claude, Gemini, and general AI agents.
Context Engineering: The Discipline That Separates Good AI Agents from Great Ones
Open-source toolkit for Context Engineering that teaches AI agents to pull only the context they need — cited in academic research.
Awesome OpenClaw: From Generic AI to a Team of Autonomous Employees
Discover real-world use cases for OpenClaw that turn a simple chat interface into a proactive, self-healing, and goal-driven autonomous workforce.
Unleashing the Super Agent Harness: A Deep Dive into Bytedance's DeerFlow
Discover how DeerFlow 2.0 transforms from a deep research tool into a full-fledged agent harness with sandboxing, sub-agents, and persistent memory.
Inside the Black Box: What Leaked AI System Prompts Reveal About How Your Favorite Tools Actually Think
The most comprehensive collection of leaked AI system prompts from Cursor, Manus, Windsurf, Devin, v0, and 30+ tools — what they reveal about AI engineering.
Hugging Face Skills: The 'Plug-and-Play' Mental Model for AI Agents
What are Hugging Face Skills? A mastery guide to empowering Claude Code, Cursor, and Gemini CLI with open-source ML capabilities.
AI Agents & Multi-Agent Systems: The 'Company of Robots' Mental Model
What's the difference between ChatGPT and an AI Agent? A mastery guide to tool calling, LangGraph orchestration, and why multi-agent is the architecture of 2026.
MCP (Model Context Protocol): The 'USB Port for AI' Mental Model
What is MCP and why is every AI tool adopting it in 2026? A mastery guide to Anthropic's open standard for connecting AI models to the real world.