133 related articles

A Reddit user hid a NAS, hard drive array, and modem inside a €35 IKEA Gillersberg coffee table, winning his partner's approval. Here's how this high-WAF home server solution works.

Learn how to connect SSMS SQL projects to an Azure DevOps CI/CD pipeline—covering YAML build config, SQL code quality analysis, managed identity authentication, and dynamic firewall rules for secure Azure SQL deployment.

Meta launched an enterprise AI agent, with Zuckerberg claiming it can "run your entire business." This article explores the commercial value of AI agents, the hidden risks of data ownership, and how different businesses can balance efficiency with data sovereignty.

OpenAI launches the GPT-5.6 model family with cybersecurity as its biggest highlight. A deep analysis of GPT-5.6's differentiation, double-edged-sword effect, and enterprise strategy.

A deep dive into AI Agent development: real architecture, entry barriers, and learning paths. From ReAct to multi-agent systems and LangChain — cut through the hype.

Want to break into LLM development but not sure where to start? This guide breaks the core skills into four progressive layers — from basic knowledge to RAG, fine-tuning, Agents, and multimodal — so you can align with real enterprise needs and land the job.

GLM-5.2 tops open-weight models in coding with a 74.4 Frontiers-WE score, beating GPT-5.5. Its MIT license enables local deployment, and the gap with closed-source flagships is closing fast.

Want to become an Agent engineer? This article systematically covers three core skill tracks—LLM fundamentals, LangChain architecture development, and enterprise deployment—to help you avoid detours.

An open-source AI Agent with 380K stars ranks only third? This comparison of 6 self-hosted AI Agents scores them on persistence, self-evolution, and data control—revealing why Generic Agent won with just 3,000 lines of code.

OSWorld 2.0 benchmark tests 108 long-horizon computer tasks. Claude Opus tops at only 20.6% completion, exposing critical AI weaknesses in state tracking and error self-correction.

OSWorld 2.0 benchmark tests 108 long-horizon computer tasks (median 1.6 hrs for humans). Claude Opus tops out at 20.6% completion, exposing critical AI Agent weaknesses in state maintenance and self-correction.

An in-depth analysis of the open-source LLM control plane tool Otari—covering unified multi-model access, cost observability, and security compliance governance to help teams build manageable, production-grade AI infrastructure.

Two methods for connecting external models to Codex: manually configure keys via relay services, or use the CC Tool to auto-bridge GPT, DeepSeek, and more. Covers auth/config files, CC Tool usage, and multi-model switching.

PP-OCRv6 is PaddlePaddle's SOTA-level OCR model. This article covers Docker deployment, invoice recognition testing, and the critical font-missing pitfall causing entire regions to be skipped.

Flock is a multi-agent development tool built on Claude Code. With roles like Planner, Coder, Tester, and Reviewer, it turns AI coding into a traceable development pipeline.

A complete guide to self-hosting Dify, the open-source AI platform: environment setup, Docker Compose deployment, LLM integration, and app building. Runs on just 2 cores and 4GB RAM.

Deep analysis of how Daytona pivoted from browser IDE to AI Agent sandbox infrastructure, achieving 60ms startup times, 850K daily sandboxes on bare metal, and why Computer Use opens a trillion-dollar market.

In-depth comparison of CodeRabbit, DeepSource, and Greptile — three leading AI code review tools analyzed across context understanding, static analysis, and architecture awareness to help teams choose the right solution.

Deep dive into n8n's core capabilities including 500+ nodes, AI Agent building, and RAG integration, with an objective analysis of its limitations and suitability for use in China.

Complete guide to n8n's AI capabilities covering AI Agent, Chain nodes, and Tool nodes. Learn to build enterprise-grade AI workflows with zero code, from setup to RAG systems.