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Product ReviewsDeep dive into Warp intelligent terminal, a high-performance CLI tool built with Rust. Explore Agent Mode for natural language commands, smart debugging, Warp Drive team collaboration, and how it differs from Cursor and other AI coding tools.
TutorialsA detailed walkthrough of using Cursor AI with the FBro framework to build a proxy IP switching browser from scratch in 10 minutes, covering setup, prompt design, code generation, and proxy testing.
Product ReviewsPage Agent is Alibaba's open-source AI browser extension that automates form filling and data entry via natural language. Supports Chrome, multiple LLMs, and backend integration.
Product ReviewsOpenCLI is an open-source tool that wraps websites and desktop apps into reusable CLI commands for AI Agents. With 90+ built-in adapters, browser login state reuse, and auto-generated adapters.
Product ReviewsHands-on review of ZenFlow—the first spec-driven fully autonomous AI software engineer. Multi-agent parallel collaboration with built-in verification delivers end-to-end development from ideation to production.
TutorialsA systematic breakdown of 15 key steps for building AI Agents with Vibe Coding, covering environment setup, product docs, frontend UI, backend APIs, databases, and deployment.
Tech FrontiersGoogle Jules 3.0 launches API, CLI tools, and memory system. Free 15 daily tasks powered by Gemini 2.5 Pro. Deep dive into how Jules evolves into an embeddable AI coding partner.
Product ReviewsGoogle's AI coding assistant Jules exits Beta with environment snapshots, Critic Agent reinforcement learning code review, interactive planning, web preview, web search, and more.
TutorialsA deep dive into Harness Engineering's three-layer architecture: Information, Constraint, and Automation layers, covering Agent failure modes, OpenAI and Anthropic best practices, and AI tool selection strategies for controlled AI development.
TutorialsA detailed guide to 15 core use cases for OpenAI's Codex desktop app, covering file management, website development & deployment, browser control, Computer Use, Skills, MCP services, and automation.
Deep DivesDeep dive into Harness Engineering: how to build execution environments, toolchains, and feedback loops for AI. From Prompt Engineering to system-level engineering for stable AI production.
TutorialsA systematic four-stage learning roadmap for programmers transitioning to AI Agent development, covering core theory, ReAct and classic paradigms, Prompt engineering, and hands-on projects.
TutorialsA systematic breakdown of the Complete Guide to Claude Code course, covering context engineering, MCP protocol, claude.md configuration, multi-Agent architecture, and three progressive projects.
Product ReviewsIn-depth comparison of Claude 4.5 vs Gemini 3 Pro across five benchmarks including ARC-AGI-V2, SWE-Bench, and Terminal Bench 2.0, revealing their real coding and reasoning strengths.
Product ReviewsLearn how to build an automated competitive monitoring pipeline with CREAO Agent, covering multi-platform data collection from X, Reddit, and Xiaohongshu to generate structured intelligence reports with high-value Leads, user complaint analysis, and actionable Ideas.
TutorialsDeep dive into GStack, the open-source toolkit by YC President Gary Tan. 23 slash commands turn Claude Code into a full AI dev team covering product decisions to deployment.
Industry InsightsNVIDIA Blackwell GPU sets new LLM inference records in STAC-AI financial benchmark. Explore Blackwell architecture advantages, TensorRT-LLM co-optimization, and LLM applications in trading and risk management.
TutorialsDeep dive into enterprise AI Agent four-layer architecture design (User, Gateway, Agent Service, Capability layers) with PDCA optimization methodology and dual manual+automated evaluation for production-grade Agent systems.
TutorialsA detailed guide to the four-stage universal AI prompt system for mathematical modeling, covering problem analysis, innovative model construction, data processing, and model solving for competitions.
TutorialsLearn how Claude Code combined with Skills encapsulation enables AI-driven test case generation with 10x efficiency gains, from 33 to 400+ cases through encoded expert knowledge.