#distributed tracing
182 related articles
Tutorials·4 min
Semi-AI Mode: A Pragmatic Approach to API Automation Testing Frameworks
Explore the semi-AI approach to API automation testing: why pure AI fails, framework design principles, technology choices, and clear human-AI division of labor for practical implementation.
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Tutorials·3 min
Hermes Agent Framework Practical Guide: Building AI Agents from Scratch
A detailed guide on ByteDance's Hermes Agent framework covering core features, deployment, custom tool development, and enterprise-grade AI Agent applications.
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Industry Insights·3 min
Six Foundational Upgrades to Claude Code: AI Programming Moves from Lab to Industrial Scale
Anthropic's largest-ever foundational upgrade to Claude Code fixes six critical issues at once—terminal flickering, thinking freezes, cryptic errors, context deadlocks, unstable connections, and session crashes—shifting AI coding competition to the infrastructure layer.
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Tutorials·3 min
The Complete Guide to Cursor 2.0: Plan, Agent, and Ask — Three AI Modes Explained
A detailed guide to Cursor 2.0's three AI modes (Plan, Agent, Ask) and core features including inline editing, multi-Agent parallelism, project rules, and version control for efficient AI-powered development.
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Tech Frontiers·2 min
Meta Muse Spark Released: A Comprehensive Analysis of the Native Multimodal Reasoning Model
Meta Superintelligence Labs releases Muse Spark, a native multimodal reasoning model supporting visual chain of thought, tool-use, and multi-agent orchestration. Deep dive into its capabilities and competitive positioning.
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Industry Insights·3 min
Is the Left-Right Divide Obsolete? The Political Spectrum Is Being Restructured in the Information Age
1960s hippie positions are now labeled far-right. This article explores why the left-right political divide has failed, examining algorithmic tribalization, AI's reshaping of information power, and the need for multidimensional frameworks.
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Tutorials·3 min
Open-Source Multi-Agent Intelligent Diagnostic System: Deep Dive into MCP + RAG + Skill Routing Architecture
Deep dive into an open-source multi-Agent diagnostic system built on modified OneCall, featuring MCP real-time interaction, RAG-enhanced Q&A, and Skill routing to minimize Token consumption.
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Product Reviews·1 min
iOrchestra: From Text to Production-Ready Hardware Design with AI Agents
iOrchestra is an AI hardware engineer platform that uses multi-disciplinary AI agents to compress PCB, mechanical, and thermal design from months to minutes, covering the full pipeline from natural language input to simulation, BOM generation, and manufacturing.
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Product Reviews·2 min
Phrony: An All-in-One Infrastructure Platform for AI Agent Production Deployment and Operations
Phrony is an infrastructure platform for AI Agent production deployment, offering multi-Agent orchestration, human-in-the-loop escalation, audit trails, and anomaly detection.
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Expert Opinions·2 min
How Can Test Engineers Avoid Being Replaced in the AI Era? Three Layers of Core Cognition That Determine Your Career Ceiling
AI can write test cases and run automation — will test engineers be replaced? This article analyzes survival strategies and transformation paths across three cognitive layers: capability boundaries, human-AI collaboration, and core competitiveness.
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Product Reviews·2 min
Dogra: Open-Source Self-Hosted Voice AI Platform — Say Goodbye to VAPI's Sky-High Bills
Dogra is an open-source self-hosted voice AI platform with visual workflow builder, multi-provider flexibility, and full call tracing — a cost-effective alternative to VAPI and Bland.
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Industry Insights·2 min
Why AI Workloads Crushed GitHub but Left Other Vendors Unscathed
GitHub's service degraded under a 3.5x AI load surge while AWS and Cloudflare stayed stable. We analyze GitHub's architectural weaknesses, traffic governance gaps, and key infrastructure strategies for the AI era.
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Tutorials·2 min
Claude Code Practical Guide for Large Codebases: Toolchain Configuration and Scaled Deployment
Deep dive into Claude Code best practices for large codebases, covering CLAUDE.md, Hooks, Skills, Plugins, and LSP/MCP extension points for enterprise-scale AI programming.
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Tutorials·2 min
AI Agent Acceptance Testing Anti-Pitfall Guide: Replace AI Self-Reports with Logs and Data
Don't trust AI's self-reported test results. Learn three-layer acceptance criteria using HTTP status, business logs, and database persistence to verify AI Agent outputs.
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Tutorials·2 min
Harness AI Engineering Programming: A Practical Guide to the Rules + Skills + Wiki + Changes Four-Layer System
Deep dive into Harness AI Engineering Programming: a Rules + Skills + Wiki + Changes four-layer system with Claude Code for automated, controllable enterprise development.
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Deep Dives·2 min
AI Agent Conversation History Management: From Message Lists to Event-Driven Architecture
Traditional user-assistant alternating chat history can't meet complex AI Agent needs. This article explores modeling Agent interactions as event sequences, revealing Agents as workflow engines.
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Tutorials·2 min
OpenAI Agents SDK Tracing Guide: Zero-Configuration Agent Observability
Learn how to use OpenAI Agents SDK's built-in tracing system for AI Agent observability, covering zero-config auto-tracing, custom trace contexts, and tool call monitoring.
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Product Reviews·2 min
Claude Code Ultra Review Hands-On: Deep Dive into Multi-Agent Code Review
Hands-on deep dive into Claude Code's upcoming Ultra Review: multi-Agent parallel search, independent verification, deduplication workflow, comparison with standard Review, plus custom Fleet Review implementation.
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Tutorials·1 min
Multi-Agent Collaborative Medical Consultation System: RAG + Local Deployment Practical Guide
A complete guide to building a multi-agent medical consultation system with RAG knowledge retrieval, local LLM deployment, and multi-agent architecture design.
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Product Reviews·2 min
Harness AI Engineering Programming: Boost Enterprise Project Development Efficiency by 10x
Deep dive into Harness AI engineering programming methodology, solving AI coding pain points like hallucinations, code standards, and context loss for 10x enterprise efficiency.
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