#agent tracing
369 related articles
Tutorials·3 min
Andrew Ng's 2025 New Course: Core Methodology and Best Practices for Building AI Agents
A deep dive into Andrew Ng's latest Deeplearning.AI course on AI Agents, covering Agentic AI use cases, disciplined development workflows, evaluation frameworks, and error analysis methodology.
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Industry Insights·2 min
Uber's AI Agent Platform Now Contributes 11% of PRs — The Engineering Role Is Transforming
Uber reveals its internal Agentic Developer Platform now generates 11% of all PRs. Learn how Uber moved from AI-assisted to AI-autonomous coding and how engineering roles are transforming.
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Deep Dives·4 min
From AIGC to AI Agent: Core Strategies and Practical Guide for Multi-Agent Development in 2025
Deep analysis of AIGC vs AI Agent differences, covering multi-agent system architecture, task orchestration, hallucination control, with developer skill roadmap and career outlook.
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Deep Dives·3 min
98 Expert Agents Working in Concert: A Deep Dive into an Open-Source Multi-Agent Orchestration Framework
Deep dive into a trending open-source multi-agent framework with 98 expert agents, swarm orchestration, HNSW vector memory, autonomous learning, and Agent Federation for distributed collaboration.
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Tutorials·4 min
LangChain Agent in Practice: Building a Production-Grade AI Agent from Scratch
A comprehensive guide to building production-grade AI Agents with LangChain, covering architecture design, tools, memory systems, ReAct strategy, and enterprise deployment.
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Tutorials·2 min
Cursor 3.3 Context Usage Analysis: A Complete Guide to Understanding and Optimization
Cursor 3.3 adds Agent context usage analysis, helping developers visualize Rules, MCP, Skills context consumption. Learn how to optimize AI programming efficiency.
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Product Reviews·3 min
Entire CLI: An Open-Source Tool That Automatically Records AI Programming Sessions via Git
Entire CLI is an open-source CLI tool that auto-captures AI coding sessions from Cursor, Copilot, and Claude Code via Git hooks, linking them to commits for full traceability and compliance.
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Tutorials·3 min
Andrew Ng's New Course: A Practical Guide to Data Governance for Enterprise AI Agents
Andrew Ng and Databricks launch an AI Agent data governance course covering least privilege principles, Unity Catalog permissions, MLflow tracing, and a complete governance lifecycle from build to deployment. Free to learn.
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Product Reviews·2 min
Opik: An Open-Source LLM Observability Platform for Debugging, Evaluation, and Monitoring All in One Place
Deep dive into Opik: an open-source platform for LLM app lifecycle management with tracing, automated evaluation, hallucination detection, and production monitoring for RAG and Agent workflows.
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Product Reviews·2 min
Opik: Open-Source LLM Observability Platform for Debugging, Evaluation, and Monitoring All in One
Deep dive into Opik: an open-source platform for LLM app lifecycle management with tracing, automated evaluation, hallucination detection, and production monitoring. 19K+ GitHub stars.
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Tech Frontiers·2 min
DeepAgents: LangChain's Deep Agent Development Framework Built on LangGraph
DeepAgents is LangChain's open-source Agent framework built on LangGraph, supporting multi-step reasoning, state management, and multi-Agent collaboration for production-grade AI development.
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Product Reviews·4 min
OpenClaw4J: Deep Dive into a Java 21 + Spring AI Agent Framework
Deep dive into OpenClaw4J, an intelligent Agent framework built on Java 21 virtual threads and Spring AI, supporting tool calling, memory management, and multi-Agent collaboration for enterprise Java developers.
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Product Reviews·2 min
A Comprehensive Analysis of the Sentra-Agent Framework: Building Production-Grade Conversational AI Agents with TypeScript
Deep analysis of Sentra-Agent, a modular TypeScript framework for building production-grade conversational AI Agents, covering architecture, design philosophy, and comparison with LangChain.js.
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Product Reviews·3 min
Micro-Agent: Fudan University's Open-Source Lightweight AI Agent Framework Built for Vertical Domains
Micro-Agent is a lightweight AI Agent framework open-sourced by Fudan University, focused on vertical domain applications. It offers streamlined architecture, low learning costs, and high customization flexibility compared to heavyweight frameworks like LangChain.
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Tutorials·4 min
A Practical Guide to Context Engineering: The Path from Prompt Engineering to Production-Grade AI Systems
A deep dive into Context Engineering: core concepts and key techniques including RAG, long-context management, and AI Agent context orchestration for building production-grade AI systems.
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Tutorials·3 min
Dissecting a 10K-Star Open Source Project: The Complete Practical Guide to Agent Context Engineering Skills
Deep dive into the 15K-star GitHub project Agent-Skills-for-Context-Engineering, covering context engineering fundamentals, multi-agent architecture patterns, and production-grade Agent system best practices.
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Deep Dives·3 min
AI-Assistant Open Source Project Analysis: Building a Local AI Agent with the Anthropic API
Deep analysis of the open-source AI-Assistant project built on Anthropic Claude API for local AI Agents, covering architecture, use cases, security, and agentic AI trends.
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Tutorials·2 min
awesome-llm-skills: Cross-Platform AI Agent Skill Library Guide & Resource Collection
Explore awesome-llm-skills, an open-source curated list of AI Agent skills compatible with Claude Code, Codex, and Gemini CLI, with resources and best practices for Agent workflows.
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Product Reviews·2 min
Cursor Coding Team: Practices and Prospects of Multi-Agent Collaborative Programming
Deep dive into cursor-coding-team: an open-source project orchestrating multiple AI agents via Cursor Cloud Agents API for parallel development, code review, and automated collaborative workflows.
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Deep Dives·2 min
Open Multi-Agent: A TypeScript Multi-Agent Orchestration Framework with Automatic Task DAG Generation
Deep dive into Open Multi-Agent, a TypeScript-native multi-agent orchestration framework with automatic task DAG generation, MCP integration, live tracing, and only three runtime dependencies. 6000+ GitHub Stars.
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