1236 related articles

PeakCode is an open-source AI coding tool combining Claude Code's engineering power with Codex's UX, featuring Web/desktop modes, plugins, Git integration, and automated Agent capabilities.

Deep dive into coding Agent feedback loops: how AI tools turn errors and test failures into correction signals. Covers context management, root cause analysis, death loop avoidance, and more.

Andrew Ng and Anthropic launch the definitive Claude Code course covering core principles, multi-instance parallel development, MCP server integration, and three hands-on projects for AI-assisted programming.

A deep dive into building OpenAI ChatGPT Workspace Agents and enterprise deployment strategies, covering Agent Builder demos, Chief of Staff agent setup, and financial services use cases.

Learn how to use Claude LLM with Trae IDE and MCP protocol to orchestrate Chrome browser and Yakit for automated penetration testing, covering setup, agents, and vulnerability detection.

Tsinghua and Zhipu AI release a full-stack web dev benchmark with three difficulty levels. Top models like Gemini 2.5 Pro see scores plummet from 63 to 11.7 on full-stack tasks, exposing AI's real limits.

A deep dive into AI Agent principles, core architecture, and practical applications. Learn how Agents differ from LLMs and how to leverage Agent Skills to boost productivity.

Deep dive into MCP (Model Context Protocol): core concepts, four-layer architecture, and hands-on configuration. Learn how MCP transforms AI from a suggestion generator into a true executor.

A detailed guide on MCP protocol setup and hands-on workflow showing how AI can automatically locate encrypted APIs, analyze obfuscated JS, set breakpoints, and restore sign algorithms to generate Python scraper code.

Step-by-step guide to building a Coze workflow for AI product promo videos, integrating HappyHours and Jimeng across 12 nodes with nine-grid storyboards and polling loops.

Deep dive into Roo Code (formerly Roo Cline) VS Code extension: multi-AI backend switching, auto-diff code review, terminal command execution, and Architect Mode explained with practical tips.

Anthropic account exec Jared built Clasps, an AI email tool using Claude and RAG architecture, saving 2-3 hours daily and transforming into a GTM Architect.

A systematic guide to AI Agent development covering the three-stage learning path, core tech stack including LLM, RAG, and LangChain, plus how to build a one-person company through automated Agent workflows.

A detailed guide to deploying Hermes Agent on VPS with Docker, integrating Telegram Bot, configuring scheduled tasks, and scaling with multi-agent strategies.

Anthropic's first London Code with Claude event unveiled Opus 4.7, Mythos, Cloud Managed Agents, Claude Code Routines, and more for AI-assisted development.
Deep Dive into the Three AI Programmin…
Deep dive into the three frameworks of Specification-Driven Development (SDD) for AI programming: Blueprint, Execution Flow, and Change Records — solving the problem of AI code going off the rails.

A junior student uses Cursor and Vibe Coding to build a multi-agent system with 51 AI officials modeled on China's Three Departments and Six Ministries, featuring task distribution, approval workflows, and Token cost visualization.

In-depth comparison of four AI Super Apps — Cursor, Codex, Claude Desktop, and Anti-Gravity — across 11 dimensions to help you find the best AI dev tool.

A systematic four-stage learning roadmap for AI Agent development, covering core concepts, classic paradigms like ReAct, multi-agent collaboration frameworks, and hands-on projects to master Agent development skills in 2-3 months.

A systematic breakdown of the 8 core modules of prompt engineering, covering fundamentals, CoT, Few-shot, prompt security, and real-world AI applications.