Harness Engineering: Safety, Human‑Agent Collaboration, and Multi‑Agent Design

In a 90‑minute technical livestream, three experts dissect ten core challenges of bringing AI agents from demo to production, covering execution control, sandbox versus permission boundaries, checkpoint design, rollback strategies, tool‑call safety, human‑in‑the‑loop interaction, multi‑agent coordination, observability, and memory management.

Agent EngineeringMulti-Agent CoordinationObservability

0 likes · 17 min read

Harness Engineering: Safety, Human‑Agent Collaboration, and Multi‑Agent Design

DataFunSummit

Jun 5, 2026 · Artificial Intelligence

Harness Engineering: Making Multi‑Agent Systems Safe and Trustworthy from Demo to Production

In a 90‑minute live technical session, three experts dissect ten core challenges of Agent engineering—sandbox vs permission boundaries, checkpoints, rollback, tool‑call safety, human‑in‑the‑loop, multi‑agent coordination, observability, and memory—showing that moving agents from "usable" to "trustworthy" requires fine‑grained execution controls rather than broader permissions.

Agent EngineeringMulti-Agent CoordinationObservability

0 likes · 18 min read

Harness Engineering: Making Multi‑Agent Systems Safe and Trustworthy from Demo to Production

ShiZhen AI

Apr 8, 2026 · Artificial Intelligence

AI Agent Beginner’s Guide: A Clear, No‑Jargon Explanation

This guide explains what an AI Agent is, how it differs from a chatbot, the importance of tools and prompt design, common pitfalls, multi‑agent coordination, and practical steps to build, monitor, and deploy production‑grade agents.

AI AgentAgentic LoopMulti-Agent Coordination

0 likes · 13 min read

AI Agent Beginner’s Guide: A Clear, No‑Jargon Explanation

Frontend AI Walk

Mar 25, 2026 · Artificial Intelligence

Slow Learning Agents: 7 Cognitive Shifts from Using ChatGPT to Truly Understanding Agents

The article outlines seven essential mindset transitions for building robust LLM agents—recognizing agents as autonomous decision loops, prioritizing harness over model size, layering context, designing tools for agent goals, structuring multi‑layer memory, coordinating multiple agents with isolation and protocols, and aligning evaluation with the real environment.

Context managementEvaluationHarness

0 likes · 16 min read

Slow Learning Agents: 7 Cognitive Shifts from Using ChatGPT to Truly Understanding Agents

AI Tech Publishing

Feb 2, 2026 · Artificial Intelligence

2025’s Hottest Agent Architecture Patterns: A Deep Technical Summary

The article surveys emerging 2025 agent architecture patterns—including giving agents a computer, multi‑layer action spaces, progressive disclosure, context offloading, caching, sub‑agent isolation, evolving context, and multi‑agent coordination—backed by citations from Meta, Anthropic, and open‑source projects.

AI AgentsCachingContext management

0 likes · 20 min read

2025’s Hottest Agent Architecture Patterns: A Deep Technical Summary