#agent tracing
383 related articles
Tech Frontiers·1 min
Anthropic Source Code Leak: Opus 4.7, Sonnet 4.8, and Undercover Mode Fully Exposed
Anthropic Claude Code source leak reveals unreleased models Capybara with million-token context, Opus 4.7 & Sonnet 4.8 version numbers, and undercover mode hiding AI identity.
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Product Reviews·1 min
Tracea: Open-Source Observability Platform for AI Agents with One-Click Self-Hosted Deployment
Tracea is an open-source AI Agent observability platform offering end-to-end tracing, cost monitoring, automated RCA, and a team memory system. Self-hosted via Docker with data staying on-premise.
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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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Industry Insights·2 min
NVIDIA Verified Agent Skills Framework: A New Standard for AI Agent Capability Governance
NVIDIA releases its Verified Agent Skills framework, offering systematic capability governance for AI agents through skill certification, permission control, and MCP integration.
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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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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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Tutorials·2 min
NVIDIA Open-Sources AI-Q: A Skill Pack That Gives Coding Agents Deep Research Capabilities
NVIDIA open-sources AI-Q skill pack, giving coding Agents like Claude Code and Codex a four-stage deep research pipeline with MCP protocol, local deployment support, and 94% benchmark accuracy.
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Product Reviews·2 min
GPT-4 Thinking In-Depth Review: Real-World Testing of Coding, Agent, and Writing Capabilities
In-depth review of GPT-4 Thinking's real-world performance in coding bug fixes, AI Agent research, and academic writing, compared with Gemini and Claude.
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Industry Insights·1 min
Claude Code Architecture Deep Dive: Why a Single-Loop Design Beats Multi-Agent Systems
Deep dive into Claude Code's architecture: single-loop control, no RAG, 9,400-token tool prompts, and model tiering. The minimalist design behind a $1B AI coding tool.
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Tech Frontiers·1 min
Tips from the Creator of Claude Code: Prompt Engineering Techniques and Efficient Workflow Guide
Claude Code creator Boris shares hands-on tips: from codebase Q&A to parallel workflows, covering Claude.MD config, prompt strategies, and SDK usage.
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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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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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Deep Dives·2 min
How to Add Deep Research Skills to AI Agent Frameworks: NVIDIA's Skill-Based Architecture Explained
Explore NVIDIA's Deep Research Skill approach for embedding deep research capabilities as skill modules into AI Agent frameworks like Claude Code and LangChain, enabling goal decomposition, multi-source retrieval, and knowledge synthesis.
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Tutorials·3 min
OpenClaw Agent Development in Practice: A Complete Guide to the Skill Mechanism and Production-Ready Engineering
Deep dive into OpenClaw's Skill mechanism for AI Agent development, covering Function Calling, RAG, production deployment, and resume-worthy project design.
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Product Reviews·1 min
GPT-5.5 Deep Dive: Coding, Automation & Agent Capabilities Tested
Deep dive into GPT-5.5: from chat assistant to autonomous agent. 20-minute coding tasks, end-to-end workflow automation, benchmarks, pricing & safety.
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