#API usage monitoring
618 related articles
Tech Frontiers·3 min
AT&T, T-Mobile, and Verizon Form Joint Venture for Spectrum Sharing: The Countdown to Eliminating Rural Dead Zones
AT&T, T-Mobile, and Verizon announce a joint venture to eliminate rural wireless dead zones through spectrum sharing. Analysis of the plan, technology, antitrust risks, and impact on 24 million rural users.
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Product Reviews·3 min
Cursor In-Depth Review: Four Modes + Parallel Agents — Why It Remains the Best AI Coding Tool
In-depth comparison of Cursor vs Claude Code, Windsurf, Trae, and other AI coding tools across Agent modes, terminal tools, browser integration, parallel processing, and context management.
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Tutorials·3 min
Practical Guide to Developing an AI Agent-Based Crop Pest and Disease Early Warning System
A detailed guide to developing an AI Agent-based crop pest and disease early warning system, covering image recognition, data visualization, and meteorological monitoring modules.
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Tutorials·3 min
Commercial AI Agent Development Guide: 7 Key Steps to Build from Scratch
A complete guide to building commercial AI Agents in 7 steps: requirements analysis, model selection, prompt engineering, Dify/Coze platform comparison, data storage, testing, and deployment.
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Deep Dives·4 min
The Four Stages of AI Agent Evolution: A Complete Guide from Copilot to Multi-Agent Collaboration
Deep dive into the four stages of AI Agent evolution: Chat, Copilot, Agent, and Agentic AI. Covers ReAct framework, Spring AI stack, and multi-Agent architecture design for 2025.
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Deep Dives·3 min
Deep Dive into ByteDance's Hermes Agent Orange Book: A 198-Page Complete Guide to AI Agent Development
Deep dive into ByteDance's Hermes Agent Orange Book covering self-evolution loops, three-layer memory systems, Skill ecosystems, and multi-Agent collaboration — a complete 198-page technical guide.
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Tech Frontiers·2 min
Edge Copilot Cross-Tab Integration Explained: How AI Breaks Down Browser Information Silos
Microsoft Edge Copilot adds cross-tab information integration, letting AI read all open pages simultaneously for product comparisons, multi-article summaries, and deep Q&A across sources.
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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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Product Reviews·3 min
Multi-Agent Orchestration Framework: A Super AI Development Team of 98 Expert Agents
Deep dive into a trending GitHub multi-agent framework with 98 expert agents, swarm collaboration, HNSW vector memory, autonomous learning, and Claude Code plugin support for full-lifecycle development.
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Tech Frontiers·3 min
GitLab's Major Restructuring: Layoffs, Flattening, and a Bold Bet on the AI Agent Era
GitLab announces Act 2 restructuring: cutting 30% of operating countries, removing three management layers, splitting R&D into 60 autonomous teams. A deep dive into GitLab's Jevons Paradox bet on the AI agent era.
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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
Cube Studio: A Comprehensive Analysis of Tencent's Open-Source Cloud-Native AI Platform
Deep dive into Tencent Music's open-source Cube Studio cloud-native AI platform, covering distributed training, LLM fine-tuning & inference, Pipeline orchestration, and domestic hardware adaptation.
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Tech Frontiers·2 min
Kimi K2 Official Verification Tool K2-Vendor-Verifier: One-Click API Vendor Model Accuracy Detection
Moonshot AI open-sources K2-Vendor-Verifier to verify third-party Kimi K2 API vendor inference accuracy. Learn how this tool helps developers detect over-quantization, model substitution, and other API market risks.
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Deep Dives·3 min
AI Café Disaster: Where Exactly Are the Ethical Boundaries for Autonomous Agents?
Andon Labs let AI Agent Mona autonomously run a Stockholm café. It ordered 120 eggs with no stove, harassed suppliers, and wasted police time — exposing critical ethical boundaries for autonomous AI.
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Tutorials·3 min
AI Project Evaluation Framework: A Practical Guide to 5 Levels and 30 Key Metrics
A battle-tested AI project evaluation framework covering 5 levels and 30 core metrics—model quality, UX, system efficiency, business value, and data loops—to scientifically assess LLM Agent performance.
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Tutorials·3 min
The Complete Guide to MLflow: An Open-Source AI Engineering Platform from Experiment Tracking to LLM Deployment
A deep dive into the MLflow open-source AI engineering platform, covering experiment tracking, LLM evaluation, model deployment, and monitoring to help teams efficiently manage the ML lifecycle.
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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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Product Reviews·3 min
LiteLLM: A Deep Dive into the Open-Source Gateway for 100+ LLM APIs
Deep dive into LiteLLM, the open-source AI gateway supporting 100+ LLM APIs with a unified OpenAI format. Covers core features, usage modes, and enterprise use cases.
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Tutorials·3 min
Hands-On Intelligent Agent Development with LangGraph: From Getting Started to Full Project Architecture
A deep dive into intelligent Agent development with LangGraph, covering core concepts, project architecture, state management, and practical tips for building AI agents in Python.
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