Tagged articles

production systems

7 articles · Page 1 of 1

Jul 16, 2026 · Artificial Intelligence

K8s, Kafka, Nacos Agent Platform to Prevent Token Bankruptcy and Skill Avalanches

The article details how a production‑grade Agent platform built on Kubernetes, Kafka, and Nacos addresses token budget overruns, uncontrolled skill execution, and RAG hallucinations by introducing a four‑layer runtime architecture, token pre‑allocation, explicit state management, dynamic governance policies, and robust skill specifications.

KafkaKubernetesLLM agents

0 likes · 32 min read

K8s, Kafka, Nacos Agent Platform to Prevent Token Bankruptcy and Skill Avalanches

Linyb Geek Road

Jul 15, 2026 · Artificial Intelligence

From ReAct to Harness: Building Production‑Ready Agent Architectures

The article outlines the five‑stage evolution of AI agents—from the basic ReAct loop to self‑driving, self‑optimizing systems—and presents six engineering pillars (verification, stop, state, recovery, isolation, observability) that together form a Harness framework for deploying reliable, production‑grade agents.

AI AgentsObservabilityagent architecture

0 likes · 8 min read

From ReAct to Harness: Building Production‑Ready Agent Architectures

Linyb Geek Road

May 27, 2026 · Artificial Intelligence

Production‑Ready Agent Harness: 7‑Layer Architecture for Scalable AI Agents

The article presents Agent Harness, a production‑grade AI agent framework built on a seven‑layer pyramid that addresses stability, tool safety, cost, hallucination, autonomous decision‑making, multi‑agent collaboration, work‑tree isolation and observability, and validates each layer with real‑world case studies and concrete benchmarks.

AI AgentsArchitectureCost Optimization

0 likes · 36 min read

Production‑Ready Agent Harness: 7‑Layer Architecture for Scalable AI Agents

Tech Minimalism

May 7, 2026 · Artificial Intelligence

12 Reusable MCP Design Patterns for Production‑Grade Anthropic Agents

The article distills Anthropic’s production‑agent guidance into five groups of twelve concrete MCP patterns—covering tool surface design, interaction semantics, authentication, context economy, and packaging—explaining why each pattern matters, its trade‑offs, and how it helps build safe, stable, low‑cost agent integrations.

AIAnthropicMCP

0 likes · 22 min read

12 Reusable MCP Design Patterns for Production‑Grade Anthropic Agents

AI Waka

Apr 18, 2026 · Artificial Intelligence

Mastering AI Agent Reliability: 12 Harness Engineering Patterns You Need

This guide explains how to move from fragile, prompt‑only AI agents to production‑grade systems by designing a control layer—called Harness Engineering—covering memory management, workflow orchestration, permission boundaries, automation patterns, and the Intelligent Harness Runtime that makes agents self‑governing and resilient.

AI AgentIntelligent Harness RuntimeLLM governance

0 likes · 18 min read

Mastering AI Agent Reliability: 12 Harness Engineering Patterns You Need

Programmer DD

Feb 3, 2026 · Artificial Intelligence

Build Reliable AI Agent Systems: Boost Accuracy 50% While Controlling Cost & Latency

This guide explains how to construct production‑ready AI agent systems by balancing cost, latency, and accuracy, offering a decision framework, concrete techniques such as planner‑executor architecture, chain‑of‑thought prompting, verification agents, parallel agents, and file‑system state management, plus real‑world examples and impact metrics.

AI AgentsAccuracyCost Optimization

0 likes · 21 min read

Build Reliable AI Agent Systems: Boost Accuracy 50% While Controlling Cost & Latency

21CTO

Feb 24, 2022 · Backend Development

42 Hard‑Earned Lessons for Building Reliable Production Databases

This article translates Mahesh Balakrishnan’s 42‑point guide on building production databases, covering customer focus, project management, design principles, code review practices, strategy, observability, and research, offering concrete advice for engineers and teams creating robust backend systems.

Observabilitycode reviewproduction systems

0 likes · 12 min read

42 Hard‑Earned Lessons for Building Reliable Production Databases