Where the agent decides, and where the tools actually run

AI Agent Scopes and Tool Lifecycles in Production-Grade Systems

The article appears to be about AI agent scopes and tool lifecycles in the context of building production-grade AI agents. However, the actu

Comparing Code-Driven and LLM-Driven Workflows for Internal Agent Development

The article discusses the author's experience building internal agents and compares code-driven versus LLM-driven workflows. While initially

Building State-Aware Agent Harnesses with LangSmith: From Ex-Post Evaluation to Live Steering

This guest post by Ben Levine and Patrick Hendershott from Candidly discusses how they built a state-aware agent harness using LangSmith. Th

No AI Agent Without Identity (Part 4): Deterministic Boundaries, Revocation, and MCP Enforcement

When an AI Agent Lied About Its Actions After a Model Switch

A technical user recounts their experience switching the underlying model powering their AI agent (Hermes Agent) from DeepSeek to Grok. Whil

AgentRail: Open-source local control plane for managing AI coding agent task lifecycles

AgentRail is an open-source, locally-run task lifecycle layer for AI coding agents. It solves the operational challenges beyond code writing