BestHub
Sign in
Tagged articles

guardrails

16 articles · Page 1 of 1
Random Bulletin
Random Bulletin
Sep 28, 2026 · Operations

Why Auto-Rollback Fails at 10M QPS: The Missing Control Loop

This article details how to build reliable automated rollback systems for high-throughput architectures by establishing change identity, causal evidence through experiment/control groups, tiered rollback actions, state-machine execution, data compatibility matrices, verification budgets, and guardrails—progressing from manual processes to closed-loop autonomy.

automated rollbackcanary deploymentchange management
0 likes · 37 min read
Why Auto-Rollback Fails at 10M QPS: The Missing Control Loop
Wu Shixiong's Large Model Academy
Wu Shixiong's Large Model Academy
Sep 28, 2026 · Artificial Intelligence

Agentic RL Reward Design: Rule-Based Verifier with 5-Dim Scoring & 11 Guardrails

The article details a rule-based verifier for Agentic RL post-training in after-sales automation, replacing LLM scoring with structured fact-checking across five weighted dimensions and eleven guardrails to prevent reward hacking, achieving 88% human agreement and boosting task success from 8% to 93%.

Agentic RLGRPOInterview Preparation
0 likes · 23 min read
Agentic RL Reward Design: Rule-Based Verifier with 5-Dim Scoring & 11 Guardrails
AI Code to Success
AI Code to Success
Sep 21, 2026 · Artificial Intelligence

DeepSeek Harness: Three Guardrails for AI Agents — Approval, Sandbox & Permission Presets

This article details Harness's three-layer guardrail system for AI agents: approval gates that default to deny, filesystem sandboxes with enforceable isolation levels, and permission presets that bundle sandbox and approval settings into switchable profiles, plus subagent and workflow orchestration capabilities.

AI AgentsHarnessSubagents
0 likes · 23 min read
DeepSeek Harness: Three Guardrails for AI Agents — Approval, Sandbox & Permission Presets
Open Source Tech Hub
Open Source Tech Hub
Sep 18, 2026 · Industry Insights

AI Makes Code Cheap: The Rising Value of Facts, Guardrails & Self-Correcting Systems

As AI drives code generation costs toward zero, developers must shift focus from writing speed to guarding increasingly valuable assets: real-world facts, constraint-based guardrails, failure archives, self-correcting closed loops, and the ability to define standards in uncharted technical territories.

AI code generationJevons ParadoxSoftware Engineering
0 likes · 10 min read
AI Makes Code Cheap: The Rising Value of Facts, Guardrails & Self-Correcting Systems
Data Party THU
Data Party THU
Sep 13, 2026 · Artificial Intelligence

Agentic AI Systems: Reasoning Loops, Tools & Guardrails Explained

This article contrasts traditional RAG pipelines with agentic AI systems, detailing the four core components—orchestrator, tool calling, memory, and guardrails—and demonstrates how reasoning loops enable multi-step problem solving for system design interviews.

Agentic AIOrchestratorRAG
0 likes · 16 min read
Agentic AI Systems: Reasoning Loops, Tools & Guardrails Explained
Data Party THU
Data Party THU
Aug 6, 2026 · Artificial Intelligence

What Is an AI Agent Harness and Why It’s Essential Beyond the Model

The article explains how an AI Agent Harness transforms a powerful language model into a reliable, controllable agent by adding tool access, memory, permissions, guardrails, observability, and recovery mechanisms, and outlines its core components, workflow, and a practical customer‑service example.

AIAgent HarnessLLM
0 likes · 12 min read
What Is an AI Agent Harness and Why It’s Essential Beyond the Model
Big Data and Microservices
Big Data and Microservices
Jul 18, 2026 · Artificial Intelligence

Ensuring Reliable AI Agents: Reflection, Error‑Correction, and Guardrail Design

The article examines how to keep AI agents reliable by introducing reflection mechanisms that let agents learn from failures, multi‑layer guardrails that prevent runaway loops, and a governance framework with permission controls, budget limits, observability, and human‑in‑the‑loop checks, illustrated with concrete benchmarks and case studies.

AI AgentsLLM Safetygovernance
0 likes · 16 min read
Ensuring Reliable AI Agents: Reflection, Error‑Correction, and Guardrail Design
Woodpecker Software Testing
Woodpecker Software Testing
Apr 24, 2026 · Artificial Intelligence

5 Open‑Source Tools for Practical LLM Testing

As large language models move from labs to production, this article evaluates five high‑activity open‑source solutions—RAGAS, LLM‑eval, Promptfoo, Guardrails, and DeepEval—showing how they enable systematic, reproducible, and auditable testing across the entire CI/CD pipeline.

DeepEvalOpen Source ToolsPromptfoo
0 likes · 9 min read
5 Open‑Source Tools for Practical LLM Testing
AI Step-by-Step
AI Step-by-Step
Mar 30, 2026 · Artificial Intelligence

How to Keep LLM Agents in Check with Guardrails

The article explains why LLM agents can over‑promise or execute unauthorized actions, and outlines a three‑layer guardrail system—prompt review, output validation, and tool‑action interception—plus concrete rules, examples, and test cases to ensure safe deployment.

AI safetyLLM agentsguardrails
0 likes · 11 min read
How to Keep LLM Agents in Check with Guardrails
DeepNoMind
DeepNoMind
Mar 29, 2026 · Artificial Intelligence

Master AI Agents: 10 Essential Concepts Every Developer Needs in 2026

This article visually walks through the ten core concepts—from the MCP plugin system to runtime orchestration—that developers must master to turn AI demos into reliable, production‑grade agents, covering architecture, memory, guardrails, tool discovery, error recovery, human‑in‑the‑loop, and context engineering.

AI AgentsMCPMemory
0 likes · 16 min read
Master AI Agents: 10 Essential Concepts Every Developer Needs in 2026
Amazon Cloud Developers
Amazon Cloud Developers
Dec 25, 2025 · Information Security

Agentic AI Security Guide: Protecting Privacy and Enhancing Reliability

This article analyzes the unique security threats introduced by Agentic AI—such as memory poisoning, tool abuse, and MCP server vulnerabilities—then presents a layered mitigation framework, practical Secure SDLC recommendations, and concrete Amazon Bedrock Guardrails code examples to help engineers build trustworthy, resilient Agentic AI systems.

AI securityAgentic AIAmazon Bedrock
0 likes · 37 min read
Agentic AI Security Guide: Protecting Privacy and Enhancing Reliability
Smart Era Software Development
Smart Era Software Development
Apr 19, 2025 · Artificial Intelligence

How to Build Robust LLM Agents with OpenAI’s Open‑Source Guide

This guide walks developers through when to use LLM agents, the three‑component design (model, tools, instructions), model selection, tool definition, prompt best practices, orchestration patterns (single, manager, decentralized), guardrails, and human‑in‑the‑loop, all illustrated with OpenAI Agents SDK code examples.

Agents SDKLLM agentsOpenAI
0 likes · 22 min read
How to Build Robust LLM Agents with OpenAI’s Open‑Source Guide
Sohu Tech Products
Sohu Tech Products
Mar 26, 2025 · Artificial Intelligence

How OpenAI Agents SDK Stacks Up Against SmolAgents: A Deep Dive

This article examines OpenAI Agents SDK’s design principles, core concepts, and practical code examples, then compares its functionality, tool integration, handoff mechanisms, guardrails, and tracing features with the competing SmolAgents framework, highlighting strengths, weaknesses, and suitable use cases for each.

AI agent frameworkOpenAI Agents SDKSmolagents
0 likes · 13 min read
How OpenAI Agents SDK Stacks Up Against SmolAgents: A Deep Dive
AI Large Model Application Practice
AI Large Model Application Practice
Mar 18, 2025 · Artificial Intelligence

Master OpenAI’s New Agents SDK: 10 Core Concepts with a Complete Example

This guide walks you through OpenAI's open‑source Agents SDK, explaining ten essential concepts—from model configuration and agent creation to runners, tools, context handling, guardrails, handoffs, structured output, tracing, and orchestration—while providing runnable Python code and visual demos.

Agent DevelopmentLLMOpenAI Agents
0 likes · 17 min read
Master OpenAI’s New Agents SDK: 10 Core Concepts with a Complete Example
Airbnb Technology Team
Airbnb Technology Team
Dec 12, 2024 · Artificial Intelligence

Airbnb Automation Platform v2: Enabling LLM‑Driven Conversational AI

Airbnb’s Automation Platform v2 replaces the rigid, workflow‑driven architecture of v1 with an LLM‑centric design that orchestrates context gathering, chain‑of‑thought reasoning, tool execution, and guardrails, enabling more natural, scalable, and safe conversational AI while preserving the reliability of traditional workflows.

AI architectureAirbnbConversational AI
0 likes · 11 min read
Airbnb Automation Platform v2: Enabling LLM‑Driven Conversational AI