936 related articles

A data-deletion disaster reveals the biggest AI Agent risk: the problem isn't the model, it's Harness design. Learn context management, process standards, and permission isolation.

Hermes Agent is an open-source autonomous AI Agent with long-term memory and self-evolution. Learn its core innovations, how it compares to Open Cloud, and why it hit 121K GitHub stars.

OpenAI Codex is more than a coding tool—it's an AI agent that writes code, makes slides, and operates browsers. This guide covers its four versions, permission modes, plugins, automation, and six best practices.

Comparing Codex, Claude Code, OpenHands, and Hermes? This guide breaks down each AI Agent's core purpose using a real-world scenario, with a selection checklist and three pitfalls to avoid.
Text-to-CAD: How AI Agents Are Reshapi…
Explore how the open-source text-to-cad project wraps CAD modeling as AI agent skills, letting engineers generate 3D models from natural language descriptions.

Deep-dive into AI testing platforms: from auto-generating test cases from requirements docs to API testing, performance testing, and log analysis. Prepare for big tech interviews.

A deep dive into ByteDance's Coze platform: tool categories, positioning vs. Dify, skill store, multi-agent collaboration, and workflow building — your AI Agent selection guide.

An in-depth guide to Anthropic's Claude Code agentic coding tool, covering installation, pricing plans, model selection, token management, CLAUDE.md global memory, MCP integration, Subagents, and more.

In-depth analysis of Claude Code customization methodology: from access, knowledge injection to tooling. Master context window management, zero-overhead Hooks, and MCP & Skills plugin primitives to build a scalable AI software engineering workflow.

A deep dive into the three core LLM job roles — Application Engineer, R&D Engineer, and Algorithm Engineer — covering academic requirements, salaries, and skill roadmaps.

Always burning through your AI coding quota? This guide breaks down a brain-vs-hands multi-agent strategy: use strong models only for planning, and cheap models like DeepSeek for execution.

Model performance gaps are closing. Real competitive advantage lies in portable AI agent architecture. Learn how to build a workspace that works across Claude Code, Codex, and beyond — no vendor lock-in.
Microsoft's Two-Track AI Coding Strate…
Microsoft plans to launch Claude Code and GitHub Copilot CLI, making the terminal the new frontier for AI coding. A deep dive into Microsoft's multi-model strategy and its impact on developer workflows.

Set up an AI coding workstation on NVIDIA Jetson using VS Code + Claude Code. Covers JetPack NVIDIA Skills, token budget management, headless SSH dev, and coding agent best practices.

A structured 3-phase roadmap for frontend developers transitioning to AI: master Transformer fundamentals, build RAG & Agent skills, then advance to model fine-tuning.

Modern Web Guidance is an agent skill & CLI tool that injects modern Web standards into AI coding assistants like Claude Code and Copilot CLI, replacing outdated polyfills with Baseline-validated solutions.

Microsoft Power Platform's Dataverse plugin for coding agents supports GitHub Copilot, Claude Code, and more — enabling natural language data modeling, queries, security config, and docs generation.

Hands-on Qwen review: Alibaba's free AI platform offers image generation, video creation, web dev, voice/video chat & travel planning — rivaling ChatGPT Plus.

A deep dive into the 7 core components for building long-running AI Agents: Goal, Evaluator, Verifier, Loop, Orchestration, Observability, and Memory.

A complete Python learning path for beginners covering three modules: Fundamentals, Intermediate, and Hands-On Practice — including web scraping, office automation, and data analysis.