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.
Discover how Codex allows you to run any agent on your chosen model and thinking effort level to build websites like MagicPath.
Track top X accounts and auto-collect key AI news into a local HTML feed using X MCP and the x-agent-intelligence skill. Schedule it to run daily.
Use a free Claude Code plugin to make Grok 4.5 the default executor. Fable writes specs, reviews diffs, and runs parallel agents for faster coding.
Claude Code now supports multi-user collaboration in the same terminal and lets Claude instances connect and communicate with each other.
Stanford’s open-source Shepherd lets AI agents roll back to the last correct step, reuse up to 95% of prior compute, and auto-recover from errors.
A free GitHub AI university teaches you to build real AI systems step by step: Docker, pipelines, BM25, hybrid search, RAG, production, and LangGraph agents.
Explore 5 open-source no-code platforms to build LLM apps, RAG pipelines, and AI agents—AutoAgent, AnythingLLM, LangChain OAP, Sim, and Dify.
Open-source Decoding AI course repo to build a personal knowledge base assistant with RAG, agents, ETL, fine-tuning, deployment, and LLMOps tools.
Practical guide to turning LLMs into agents with wrappers: tool execution, memory, context gathering, safety, planning, sandboxes, and multi-agent design.