82 related articles

A hands-on walkthrough of using IDA Pro with MCP for AI-assisted reverse engineering of a music app's Sign signature algorithm, covering traffic capture, endpoint analysis, and .so binary analysis.

A technical deep-dive into AI-assisted reverse engineering: how MCP, Skills libraries, and Frida toolchains work together, their real capability limits, and the legal boundaries of iOS/Android/Web reverse analysis.

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.
TutorialsGuide to building an MCP-based AI reverse engineering workflow using Chrome MCP, Remus MCP, and LLM APIs for semi-automated crawler encryption cracking with real-world case studies.
TutorialsLearn how to build an MCP-based AI reverse engineering workflow using Chrome MCP, Remus MCP, and LLM APIs to automate crawler encryption cracking, with real-world cases and cost analysis.
TutorialsLearn how AI combined with IDA MCP automates APP reverse engineering—from locating encrypted parameters to AI-generated Python code, dramatically lowering the barrier to security research.
TutorialsLearn how to use AI large models combined with MCP toolchains for App reverse engineering — covering JADX decompilation, packer detection, encryption algorithm identification, and Python code reconstruction.
TutorialsLearn how to use MCP protocol to connect IDA Pro with AI LLMs for automated APP reverse engineering — from packing detection and unpacking to extracting product data.

Step-by-step guide to installing MCP connector in WorkBuddy and syncing Skills across Cursor and other AI workstations via AI conversation.

A fresh grad interviewing for a GenAI Trainer role faced prime number coding and activation function questions while the interviewer used Gemini to generate questions live — exposing AI hiring chaos.

Spring AI 2.0 brings five core updates: mandatory upgrade to Spring Boot 4, Tools parsing moving up, a built-in Agentic mechanism, MCP switching to Streamable HTTP, and an on-demand tool Advisor.

Spring AI 2.0 brings five core updates: mandatory Spring Boot 4 upgrade, Tools parsing moved up, built-in Agentic mechanism, MCP switch to Streamable HTTP, and on-demand tool-loading Advisor.

Spring AI 2.0 brings five core updates: mandatory upgrade to Spring Boot 4, lifted Tools parsing, built-in Agentic mechanism, MCP switch to Streamable HTTP, and an on-demand tool-loading Advisor.

In-depth review of Panel AI v1.1.1: second-level installation, no-public-IP networking, batch compute cluster management. Learn how enterprise AI on-premises deployment barriers are dramatically lowered.

AI agents underperforming? The root cause usually isn't the model. This guide breaks down Loop, Harness, and Context Engineering so you can diagnose the real issue fast.

A complete walkthrough of AI-assisted GeeTest four-image CAPTCHA reverse engineering: from capturing the w parameter to AI analyzing obfuscated code and generating runnable scripts in minutes.
WrenAI: An Open-Source GenBI Tool for …
WrenAI is an open-source GenBI tool by the Canner team that converts natural language into trusted SQL, charts, and dashboards via a semantic layer. Supports 20+ data sources including BigQuery and Snowflake. 16,000+ GitHub stars.

A complete guide to Java AI development: Spring AI, LangChain4j, Spring AI Alibaba, and AgentScope4j — framework comparisons, selection tips, and a clear learning path.

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.

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.