#observability
547 related articles
·7 min
Electron + LangGraph in Practice: Building an AI Agent Visual Orchestration App from Scratch
A hands-on guide to building an enterprise-grade AI Agent workflow orchestration app with Electron Forge and LangGraph, covering local LLM deployment (Qwen3-0.6B), node-based visual canvas design, and full Function Calling integration.
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·2 min
LLM Thought Visualization: Making AI Reasoning Transparent and Interpretable
LLM thought visualization is emerging as a key breakthrough in AI explainability. This article explores the value, technical approaches, and challenges of visualizing Chain-of-Thought reasoning.
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·3 min
4 Core Competencies Every High-Value LLM Application Engineer Must Have
Why can't companies find qualified AI engineers? Discover the 4 core competencies every high-value LLM application engineer needs: task decomposition, tool calling, observability, and production readiness.
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·6 min
The Seven Core Components of Building Long-Running AI Agents
An in-depth look at the seven core components for building long-running AI agents: Goal, Evaluator, Verifier, Outer Loop, Orchestration, Observability, and Memory. Master this control system for reliable autonomous agents.
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·7 min
Agentic AI Development in Practice: Evaluation and Error Analysis Are the Real Competitive Edge
Cut through the Agentic AI hype to see the real value of agentic applications. Based on Andrew Ng's course, learn why Evals and error analysis—not framework choice—separate top developers.
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·3 min
Zhipu GLM-5.2 Officially Launches | Full Breakdown of Anthropic's U.S. Export Control
Zhipu GLM-5.2 launches with tiered thinking and long-context support, while Anthropic faces rare U.S. export controls over AI security vulnerabilities. Full breakdown.
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·7 min
Otari: A Comprehensive Look at the Open-Source LLM Control Plane Tool
An in-depth analysis of the open-source LLM control plane tool Otari—covering unified multi-model access, cost observability, and security compliance governance to help teams build manageable, production-grade AI infrastructure.
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·4 min
ctx: An Open-Source Tool for Searching Your Local AI Coding Assistant History
ctx is a local-first open-source tool that lets developers search and reuse conversation history from Claude Code, Cursor, and GitHub Copilot without uploading data to the cloud.
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·5 min
OfficeCLI: A Command-Line Tool for AI Agents to Read and Write Office Documents
OfficeCLI is a command-line office suite for AI agents, supporting reading and writing of Word, Excel, and PowerPoint files—enabling efficient Office document automation without complex glue code.
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·6 min
The Hidden Risks of .io and .ai Domains: You're Renting Another Country's Political Sovereignty
Are your .io and .ai domains really safe? A deep dive into the sovereignty risks behind ccTLDs: political power transfers threaten .io's survival, while Anguilla controls the entire AI brand ecosystem. A must-read domain risk guide for founders and developers.
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·5 min
NVIDIA AI-Q Blueprint × OCI: A Practical Guide to Production Deployment of Enterprise AI Agents
Deep dive into NVIDIA AI-Q Blueprint production deployment on Oracle Cloud Infrastructure, covering NIM microservices, RAG architecture, multi-agent orchestration, and OCI GPU selection.
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·5 min
NVIDIA AI-Q Blueprint × OCI: A Practical Guide to Production Deployment of Enterprise AI Agents
Deep dive into NVIDIA AI-Q Blueprint production deployment on Oracle Cloud Infrastructure, covering NIM microservices, RAG architecture, multi-agent orchestration, and OCI GPU selection for enterprise AI agents.
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Enterprise AI Factory: Governance Fram…
·3 min
Enterprise AI Factory: Governance Frameworks and Practical Guides for Autonomous AI Agents
Explore how enterprises building AI Factories can govern autonomous AI agents through identity management, runtime protection, and defense-in-depth to balance autonomy with security.
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·6 min
Escaping AI Agent Skill Hell: A Complete 4-Step Guide to Writing High-Quality Skills
Matt Pocock's 4-step framework for AI Agent Skill design: Trigger, Structure, Steering, Pruning. Escape skill hell and learn to write high-quality skills.
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·6 min
Escaping AI Agent Skill Hell: A Complete 4-Step Guide to Writing High-Quality Skills
Matt Pocock's 4-step framework for AI Agent Skill design: Trigger, Structure, Steering, Pruning. Escape skill hell, tell good skills from bad, and master leading words to make Agents follow your intent.
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·3 min
Agentic AI in Practice: Core Principles, Engineering Challenges, and Practical Recommendations
A deep dive into Agentic AI: core components (planning, tool calling, memory), engineering challenges (reliability, cost, safety), and practical development recommendations for production deployment.
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·7 min
Harness Engineering: Core Methodology and Practical Guide for Enterprise-Level AI Programming
Can AI really replace programmers? This article explains Harness Engineering principles and its three evolutionary stages, revealing real pain points of enterprise AI programming.
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·6 min
LangChain Open-Sources OpenWiki: Automatically Generate and Maintain AI-Readable Wikis for Your Codebase
LangChain open-sources OpenWiki, a tool that auto-generates and maintains AI-readable wiki documentation for codebases via a single command, powered by Git history and agents.md integration.
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·5 min
Loop Engineering: A Comprehensive Guide to AI Agent Loop Design
A deep dive into Loop Engineering for AI Agents — what loop feedback mechanisms are, how they differ from Harness Engineering, and a complete guide from principles to production implementation.
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Morph Reflexes: Building Real-Time Beh…
·4 min
Morph Reflexes: Building Real-Time Behavioral Guardrails for AI Agents with Multi-Head Classifiers
Morph Reflexes is an open-source AI agent monitoring tool that uses multi-head classifiers for real-time trace classification — enabling safety guardrails, quality scoring, and training data filtering.
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