#open-source diagnostic tool
136 related articles
·2 min
Building Agent Trajectory Datasets: A Practical Methodology from Zero to Production
Random chat logs are useless for training tool-using AI agents. Learn the 6 elements of quality trajectories, full data pipeline design, and feedback loop strategies.
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·3 min
Is Your Training Job Quietly Slowing Down? TraceML Exposes PyTorch's Hidden Performance Bottlenecks
GPU at 51% utilization — and no one noticed? See how TraceML exposes hidden PyTorch DataLoader bottlenecks, cuts training time 43% with 3 parameter changes.
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·3 min
AI Agent Beginner's Guide: LLMs vs. Agents, and a Full Breakdown of Development Tools
What is an AI Agent? This guide explains the key differences between LLMs and Agents, breaks down the Agent formula (LLM + Workflow + Knowledge Base), and compares tools like Dify, Coze, LangChain, and LlamaIndex.
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·4 min
The Ultimate RAG Interview Guide: 204 Questions, 12 Architectures, and 6 Failure Modes Explained
The open-source project "Interview System" offers 204 RAG interview questions, 12 architecture approaches, and deep analysis of 6 failure modes. Prepare systematically for RAG engineer roles.
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·5 min
The Rise of AI Slop Code: How Teams Can Tackle the "Vibe Coding" Crisis
When an intern uses AI to generate professional-looking slop code, stand-ups balloon from 15 to 45 minutes. This article dissects why AI slop is hard to spot and offers practical team solutions.
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·3 min
Alibaba Bans Claude Code Company-Wide: Data Security Concerns Around AI Coding Tools
Alibaba has banned employees from using Claude Code company-wide, shifting sharply from encouragement to prohibition. An in-depth look at data security risks, privacy compliance dilemmas, and the domestic AI alternative trend.
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·5 min
ECC: An Agent Enhancement Framework for AI Coding Assistants — Five Core Capabilities Explained
ECC is an agent optimization framework for AI coding assistants like Claude Code, Cursor, and Codex, enhancing them with skills, memory, security, and research-first development capabilities.
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·5 min
The Complete OpenCode Tutorial: Installation, Commands, and Advanced Practice
Systematically learn the OpenCode AI programming tool: covering both desktop and WSL installation, core commands, model and rule configuration, MCP integration, and Agent Skills.
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·6 min
GPT Live Full-Duplex, Grok 4.5 Coding, Seedream 5.0 Images: AI Accelerates Across Three Tracks Simultaneously
OpenAI's GPT Live full-duplex voice model, Grok 4.5 coding model with Cursor, and ByteDance's Seedream 5.0 Pro image generation launched together. A deep dive into three AI releases.
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·5 min
Ollama Raises $65M Series B: 85% of Fortune 500 Have Already Deployed Local LLMs
Local LLM tool Ollama closes a $65M Series B, bringing total funding to $88M. With 9M developers and 85% of Fortune 500 having deployed internally, this deep dive explores why enterprises embrace local LLMs: compliance, Agent cost savings, and open-source ecosystem.
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·7 min
LLM Evaluation: The Testing Industry's Scarcest Career Pivot and the Timing to Enter
LLM evaluation roles are growing over 100% year-over-year, with top companies offering 50K/month yet unable to fill positions. This article explores how testing pros can seize the window.
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·5 min
The Halo Open-Source Project: Building Tamper-Evident Runtime Evidence for AI Agents
Halo is an open-source tool providing tamper-evident runtime evidence for AI agents, recording every action via hash chains and cryptography to solve auditing, compliance, and accountability challenges.
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·7 min
LangSmith Engine: An Intelligent Operations Tool That Automatically Diagnoses and Fixes Agent Failures
LangChain's LangSmith Engine is an intelligent agent tool for tracking Agent failures, prioritizing issues, and auto-drafting fixes. Deep dive into its core capabilities, sandbox isolation, sub-Agent architecture, and continuous evaluation challenges.
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·7 min
HuggingFace Open-Sources ml-intern: An AI Engineer That Reads Papers and Trains Models Autonomously
Hugging Face's open-source ml-intern autonomously reads papers, writes training scripts, and finetunes LLMs, deeply integrating the HF ecosystem and smolagents. Explore its features and impact on ML careers.
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·7 min
Why Does WhatsApp Drain So Much Battery? A Deep Dive into the Technical Causes and a Power-Saving Guide
An in-depth analysis of the core technical reasons behind WhatsApp's battery drain—covering persistent connection heartbeats, background tasks, media processing, E2E encryption, and iOS/Android differences—plus 4 practical power-saving tips.
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·5 min
GPT-5.6 Sol Limited Preview: A Deep Dive into the Sol/Tera/Luna Tiers and Access Mechanism
OpenAI officially releases the GPT-5.6 Sol limited preview, with three tiers — Sol, Tera, Luna — each differing in price and capability. A deep dive into tier selection, five-layer safety gates, and API pricing.
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·2 min
Chrome DevTools MCP: Giving AI Coding Assistants True Browser Vision
Google Chrome's official chrome-devtools-mcp uses MCP to expose DevTools capabilities to AI coding assistants like Claude and Cursor, enabling screenshots, console reading, and network analysis.
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·7 min
Agentic AI Development in Practice: Evaluation and Error Analysis Are the Real Competitive Edge
Cut through the Agentic AI hype to see the real value of agentic applications. Based on Andrew Ng's course, learn why Evals and error analysis—not framework choice—separate top developers.
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·6 min
Claude Comes to Azure: Three Enterprise-Grade Advantages of Microsoft Foundry's Anthropic Model Integration
Microsoft Foundry integrates Anthropic Claude models, enabling Azure customers to access Claude Opus 4.8 and Haiku 4.5 with unified authentication, billing, and commitment spend drawdown.
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·6 min
Claude Comes to Azure: Three Enterprise-Grade Advantages of Microsoft Foundry's Anthropic Model Integration
Microsoft Foundry integrates Anthropic Claude models. Azure customers can now access Claude Opus 4.8 and Haiku 4.5 with unified identity auth, billing, and commitment credit deduction.
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