Tag
The article warns against using model-generated narration as the authoritative audit log for AI agents, advocating for persisting raw tool call data instead, and suggests a simple diff check to catch discrepancies.
The article argues that diagnosis—explaining why an agent failed in operational terms and what is safe to do next—is a missing first-class skill in production agent stacks, more critical than making agents sound smart.
A senior dev describes a three-tier agent stack using Claude Code that runs thousands of agents overnight, with examples like migrating user email fields across a 4000-file monorepo using 800 agents in parallel.
The agent stack is consolidating as thin harnesses get absorbed into model apps, with runtimes, memory, verifiers, and routing surviving. This week's signals include Ponytail shipping a YAGNI plugin for coding agents and OpenRouter adding subagent delegation to its API.
A comprehensive master tree overview of AI agent stack layers, from foundation LLMs to multi-agent systems and infrastructure, explaining how AI agents are evolving beyond chatbots.
A production-ready architecture framework for building autonomous agents using Claude, shared on Product Hunt.