Autonomous Agents

Most agent tutorials chase autonomy. This one starts with the math that kills agents in production: 95% reliability per step means 60% by step ten. You get ReAct and Plan-Execute patterns with LangGraph implementations, reflection loops for self-correction, and the architectural guardrails that matter (checkpointing, human-in-loop interrupts, rollback strategies). The core insight is right: constrain scope aggressively, treat every output as a proposal, and log everything for auditability. If you're building agents that need to actually work beyond demos, the emphasis on reliability over capability and domain-specific constraints over general-purpose autonomy will save you months of debugging compounding failures.

Install to Claude Code

npx -y skills add sickn33/antigravity-awesome-skills --skill autonomous-agents --agent claude-code