13 related articles
Trae Agent Deep Dive: Hands-On Review …
Deep dive into ByteDance's open-source Trae Agent—a free MIT-licensed AI coding CLI tool. Covers installation, core features, run modes, and real-world performance vs Claude Code and Gemini CLI.
TutorialsA complete guide to building a financial analysis Agent system from scratch using Cursor AI and MCP protocol, covering three-layer architecture design, MCP Server development, and production deployment.
TutorialsDeep analysis of Claude Code's seven-layer architecture, ReAct loop core principles, and configuration-driven design. Source-level deconstruction of AI Agent mechanics with best practices.
Tutorials15 AI trading Bots each holding $1,000 compete live on Hyperliquid, with natural selection eliminating losers. Reveals real win rates, optimal strategies, and key risks of AI autonomous trading.
Product ReviewsDeep analysis of Qwen Code 2.0 updates covering Plan Mode approval mechanism, Visual Intelligence auto-switching, Zed editor dual authentication, and Windows fixes for this CLI coding assistant.
TutorialsA systematic AI Agent learning roadmap covering Python setup, Prompt Engineering, RAG, LangChain, multi-Agent collaboration, with enterprise medical consultation system case study and phased learning plan.
Product ReviewsSystematic evaluation of mainstream AI coding assistants across three models, comparing Claude Code, GitHub Copilot, Cursor, RooCode and more with comprehensive rankings.
AI Weekly: Claude Code Review, Gemma 4…
Weekly AI roundup: Anthropic launches Claude Code review, Google Gemma 4 leaks with MoE architecture, DeepSeek V4 delayed again, Microsoft Copilot Cowork reshapes collaboration, and OpenAI acquires PromptFool.
35 Lines of Prompts Let Codex Auto-Opt…
An OpenAI employee used just 35 lines of prompts to have Codex analyze 30 days of work history, identify repetitive tasks, and generate reusable automated Skills. Combined with screen reading and long-term memory, Codex is becoming a proactive workflow optimization agent.
Build a Claude Code Agentic OS in 3 St…
Learn how to transform Claude Code from a random prompting tool into a systematic Agentic OS through three layers: architecture, Obsidian memory, and an observability dashboard.
Tech FrontiersDeep dive into StepFun AI's Step 3.7 Flash, a 198B sparse MoE vision-language model with 256K context and 3-level reasoning, excelling in multimodal understanding, AI coding, and Agent tool orchestration.
TutorialsDeep dive into Andrew Ng's viral AI Agent course covering five core modules: Reflection, Planning, Tool Use, Multi-Agent Collaboration, and Memory, with practical learning paths for LLM agent development.