#MCP reverse engineering
85 related articles
·3 min
Java AI Tech Stack Explained: Framework Selection & Learning Path Guide
A complete guide to Java AI development: Spring AI, LangChain4j, Spring AI Alibaba, and AgentScope4j — framework comparisons, selection tips, and a clear learning path.
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·3 min
How Vibe Coding Uses AI Design Systems to Break Free from Template Aesthetics
Claude Design banned its own aesthetic — here's what that reveals. Learn how Agent workflows, system prompts, and Skill division help you escape AI Slop and build a genuine personal design style.
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·4 min
AI Agents Automating JS Reverse Engineering: A Deep Dive into the New Paradigm for Web Scraping
AI agents are revolutionizing JS reverse engineering. This deep dive covers built-in tool chains, automation modes, prompt engineering for e-commerce, and full pipeline automation from parameter extraction to database storage.
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·2 min
AI Truly "Gets Its Hands On" Your Phone: Android Remote Control MCP v1.9.0 Deep Dive
Android Remote Control MCP v1.9.0 adds ChatGPT support, OAuth 2.1 auth, and major WebView reliability fixes. Let AI Agents operate any phone app like a human.
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·4 min
MCP Protocol Deep Dive: Its Relationship with Function Calling and Agents, Plus a Practical Guide
Deep dive into MCP (Model Context Protocol): clarifying the three-layer relationship between MCP, Function Calling, and Agents, covering protocol roles, call flows, transport choices, and production security for AI developers.
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Reverse-Engineering Web Apps: A New Ap…
·3 min
Reverse-Engineering Web Apps: A New Approach to Breaking Through the API Barrier for AI Agents
Explore a new approach to AI Agent tool integration: reverse-engineering web apps to turn API-less pages into callable Agent tools, with analysis of MCP synergy and challenges.
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·5 min
Hands-On with PageAgent: Add AI Agent Capabilities to Web Pages with a Single Line of Code
In-depth hands-on review of Alibaba's open-source web automation tool PageAgent: three integration methods, script execution analysis, and a full breakdown of current limitations. Add AI Agent capabilities to web pages with one line of JS.
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·7 min
AI Agent Runs a Fully Automated Chess Channel: A Real-World Practice of Combining LLMs with Engines
A German engineer built a fully automated chess YouTube channel with an AI Agent, combining LLMs and chess engines to auto-generate explainer videos nightly, reaching 500K views. Here's the tech architecture, tool design, and real costs.
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·7 min
Base44 in Practice: How Claude Code Powered Rapid Scaling from 1 to 80 People
How Base44's product team scaled from a single founding engineer to an 80-person team with Claude Code. Covers AI-assisted onboarding, code review, user evaluation, and QA automation.
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·6 min
The Complete Beginner's Guide to Claude Code: From Installation to Advanced Usage
Claude Code is one of the most powerful AI coding agents, running in the terminal to write code, batch operations, build web projects, and more. This guide covers installation, connecting local models via CC Switch, permission modes, CLAUDE.md, Skills, MCP, Subagents, and more.
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·7 min
Building AI Agent Frameworks with TypeScript: The Core Development Paradigm for Full-Stack Developers
An in-depth look at why TypeScript is the top choice for AI Agent development: covering Zod structured output validation, LangGraph's graph state machine design, and a full learning path for front-end devs transitioning to full-stack AI.
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·7 min
Agentic AI Development in Practice: Evaluation and Error Analysis Are the Real Competitive Edge
Cut through the Agentic AI hype to see the real value of agentic applications. Based on Andrew Ng's course, learn why Evals and error analysis—not framework choice—separate top developers.
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·6 min
Alibaba Bans Claude Code: The Enterprise Security Red Line for AI Coding Tools
In-depth analysis of Alibaba's comprehensive internal ban on Claude Code: from the hidden-marker controversy and Anthropic's regional-restriction stance to five core questions of enterprise AI coding tool security admission.
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·7 min
The C Readability Crisis: Engineering Reflections Behind Clever Tricks
Why do C programmers keep creating readability disasters? An in-depth look at macro abuse, fancy pointer tricks, and over-nesting—and how coding standards, static analysis, and code review protect maintainability.
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·7 min
Harness Engineering: Core Methodology and Practical Guide for Enterprise-Level AI Programming
Can AI really replace programmers? This article explains Harness Engineering principles and its three evolutionary stages, revealing real pain points of enterprise AI programming.
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·6 min
LangChain Open-Sources OpenWiki: Automatically Generate and Maintain AI-Readable Wikis for Your Codebase
LangChain open-sources OpenWiki, a tool that auto-generates and maintains AI-readable wiki documentation for codebases via a single command, powered by Git history and agents.md integration.
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·5 min
Cursor Reshapes AI Programming: Cloud Agents, the Origin Platform, and a Custom-Built Foundation Model
Cursor launches three major products: cloud agents on mobile, Origin — an agent-native Git platform challenging GitHub, and a custom foundation model with 10-20x compute. AI coding enters the Agent-First era.
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·3 min
OpenAI's Official Plugin: Let Codex Review Your Code Inside Claude Code
OpenAI's official open-source plugin brings Codex into Claude Code for cross-model code review. Five core features including adversarial review and sub-agent delegation — with real risk warnings included.
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·6 min
Dify Self-Hosted Deployment in Practice: Building an Enterprise-Grade AI Application Platform from Scratch
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.
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·4 min
7-Step Framework for Deploying Commercial AI Agents: From Requirements to Production
A detailed 7-step guide to building commercial AI Agents, covering requirements, platform selection (Coze/Dify/FastGPT), prompt engineering, databases, UI, testing, and deployment.
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