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LLM operations

6 articles · Page 1 of 1
Tech Minimalism
Tech Minimalism
Jun 17, 2026 · Artificial Intelligence

Why Prompt Tuning Isn’t Enough: Mastering Harness Engineering for Reliable AI Agents

The article explains that as AI agents grow more capable, merely tweaking prompts or adding context fails to ensure stable long‑term performance; instead, a systematic Harness Engineering layer that enforces constraints, validates actions, and automates feedback is essential for reliable agent operation.

AI agentsHarness EngineeringLLM operations
0 likes · 14 min read
Why Prompt Tuning Isn’t Enough: Mastering Harness Engineering for Reliable AI Agents
High Availability Architecture
High Availability Architecture
Jun 8, 2026 · Artificial Intelligence

Why Harness Engineering Is the Key AI Discipline in 2026 – 5 Artifacts, 5 Principles, 1 Paradox

The article defines Harness Engineering as the system that couples AI models with constraints, feedback loops, and documentation, explains why the agent alone is insufficient, details five concrete harness artifacts and five universal principles derived from OpenAI, Anthropic and ThoughtWorks case studies, and reveals the paradox that harnesses must be built to be removed as models improve.

AI agentsHarness EngineeringLLM operations
0 likes · 16 min read
Why Harness Engineering Is the Key AI Discipline in 2026 – 5 Artifacts, 5 Principles, 1 Paradox
IT Services Circle
IT Services Circle
Apr 5, 2026 · Artificial Intelligence

Why Harness Engineering Is the Next Frontier in AI System Design

This article explains how AI engineering has evolved from Prompt Engineering to Context Engineering and now Harness Engineering, detailing each stage's challenges, core techniques, and real‑world practices that turn large language models into reliable, long‑running production systems.

Harness EngineeringLLM operationsModel Deployment
0 likes · 32 min read
Why Harness Engineering Is the Next Frontier in AI System Design
Baidu Tech Salon
Baidu Tech Salon
Dec 4, 2024 · Artificial Intelligence

AI-Driven Microservice Governance Platform Based on Multi-Agent Architecture

The article presents an AI‑driven microservice governance platform that employs a multi‑agent architecture—Director, Coder, Ops, and Diagnosis agents guided by SOP‑encoded prompts—to enable natural‑language, full‑process interactions, LLM‑based root‑cause analysis, and a continuous data‑flywheel that evolves models through large‑scale dialogue evaluation.

AI-Driven DevOpsData FlywheelIntelligent Fault Diagnosis
0 likes · 10 min read
AI-Driven Microservice Governance Platform Based on Multi-Agent Architecture
Baidu Geek Talk
Baidu Geek Talk
Dec 4, 2024 · Artificial Intelligence

AI-Driven Microservice Governance Platform Based on Multi-Agent Architecture

The article introduces Jarvis, an AI-driven microservice governance platform that uses a multi-agent architecture and natural-language dialogue to automate full-process operations such as deployments, rate limiting, and circuit-breaker configuration, while leveraging large language model reasoning for root-cause diagnosis and a data-flywheel that continuously trains lightweight expert models.

AI DevOpsData FlywheelIntelligent Fault Diagnosis
0 likes · 10 min read
AI-Driven Microservice Governance Platform Based on Multi-Agent Architecture