#LLM observability
418 related articles
·3 min
Dify Comprehensive Guide: The Open-Source Platform for Building AI Apps Without Code
Deep dive into Dify, the open-source LLM app development platform featuring visual workflow engine, RAG knowledge base, Agent capabilities, hundreds of model integrations, Docker deployment, and comparisons with LangChain, Coze, and FastGPT.
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·3 min
OpenHands Agent Canvas: The Central Control Console for Managing All AI Agents
Deep dive into OpenHands Agent Canvas: not another AI coding assistant, but a unified control plane for managing Claude Code, Codex, and other AI Agents with automated workflows and self-hosted deployment.
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·4 min
Alibaba's Open-Source OCR: An AI Code Review Solution with 4.7x Better Precision and 14x Fewer Tokens
Alibaba's open-source CLI tool OCR (Open Code Reviewer) achieves 4.7x precision improvement and 14x Token reduction through a deterministic engineering + Agent hybrid architecture for AI code review.
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·3 min
Complete RAG System Development Guide: Data Preprocessing, Vector Retrieval, and Output Optimization in Practice
A complete guide to building RAG systems: covering data preprocessing, vector databases, embedding models, hybrid search, re-ranking, and advanced topics like Graph RAG and multimodal RAG.
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·4 min
7-Step Framework for Deploying Commercial AI Agents: From Requirements to Production
A detailed 7-step guide to building commercial AI Agents, covering requirements, platform selection (Coze/Dify/FastGPT), prompt engineering, databases, UI, testing, and deployment.
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·4 min
LLM Job Interviews: Multi-Agent and Harness Engineering Are Now Must-Know Topics
Deep analysis of LLM job interview essentials: Multi-Agent architecture, Harness engineering, Agent Loop, sandbox isolation, and memory management with career transition tips.
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·2 min
Arcade Raises $60M: A Developer's Guide to AI Agent Authorization Layers
Deep dive into how Arcade's MCP runtime provides a secure authorization layer for AI Agents, comparing it with DIY OAuth solutions and analyzing use cases.
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·3 min
What Are Agent Skills? A Deep Dive into the New Paradigm for AI Agent Decision-Making
Deep dive into Agent Skills: how they solve React Agent pain points through on-demand loading and capability modularization, improving decision precision for production-ready enterprise AI Agents.
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·3 min
Databricks Tech Leaders: Why the Frontier AI Ecosystem Must Be Open
Databricks co-founders Matei Zaharia and Reynold Xin discuss why the frontier AI ecosystem must be open, the Agent Cloud concept, and how open vs. closed approaches will reshape the industry.
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·3 min
Why AI Engineer Is the Hottest Career Track Right Now: Insights from the AI Engineer Conference
AI Engineer is evolving from a vague concept into a fast-growing career track. This article analyzes the role's core skills—Prompt Engineering, RAG, Agent development—and industry trends from the AI Engineer Conference.
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·2 min
AI LLM Development Career Path: Four Stages from Zero to $60K+/Year
A four-stage learning path for AI LLM application development: from Python basics and RAG architecture to Agent cluster orchestration, helping developers transition into AI roles.
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From a Single Prompt to an AI Product:…
·3 min
From a Single Prompt to an AI Product: Starting Is Easy, Shipping Is Hard
AI startups begin with a prompt, but going from idea to product means overcoming major technical, product, and business challenges. A low barrier to entry doesn't mean a low barrier to success.
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·4 min
Loop Engineering Explained: Agent Loop Mechanisms and the New Paradigm of AI Agent Development
Deep dive into Loop Engineering: from Agent Loop principles and While loops to Graph structures, covering loop efficiency optimization and termination strategies for AI agent development.
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·4 min
Deep Dive into Six AI Development Tools: Loop Recipe Library, Vercel Agent Framework, and More
Deep analysis of Loop workflow recipes, Vercel's open-source Agent framework, Pyker AI-native project management, Arrow P2P tool, DBX database client, and NVIDIA's Skill Spectre security tool.
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·4 min
Deep Dive into Pi Coding Agent: Why One Developer Abandoned Mainstream AI Tools to Build from Scratch
Veteran developer Mario Zechner dissects flaws in Cloud Code, OpenCode, and Cursor, then builds Pi — a minimalist coding Agent with just four tools and deep extensibility.
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·3 min
PilotDeck: A Local Console That Tames Multi-Task Agent Chaos
PilotDeck is an open-source local Agent console from a Tsinghua-affiliated team that solves multi-task chaos with workspace isolation, white-box memory management, and smart model routing.
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·2 min
Elastic Acquires Deductive AI for $85M, Accelerating the AI-Powered Debugging Market
Elastic acquires AI debugging startup Deductive AI for up to $85M, boosting its observability and security platform. Analysis of the deal's strategy, competitive landscape, and industry impact.
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·4 min
A Practical Guide to Loop Engineering: Pain Points and Solutions in Automated AI Coding Workflows
Deep dive into Loop Engineering: core mechanisms, three major pain points (reliability, cost, context bloat), and Harness workflow solutions including mixed model strategies and Human in the Loop.
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·4 min
Loop Engineering from Beginner to Expert: A Complete Guide to Agent Loop Development
A deep dive into Loop Engineering covering Agent Loop workflows, code implementation (While loops and Graph patterns), and how it differs from Prompt Engineering.
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·3 min
Enterprise-Grade RAG Full-Pipeline Optimization: Multi-Turn Conversations, Retrieval Tuning, and Production Engineering in Practice
A deep dive into full-pipeline optimization for enterprise RAG systems, covering multi-turn query rewriting, retrieval tuning, and quality evaluation to take RAG from demo to production.
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