23 related articles

How to build product analytics and evaluation capabilities for AI Agents at the MCP protocol layer, covering session-level tracing, tool call observability, and quality Evals.

Cartha is a managed control plane for AI Agents offering full-chain tracing, hard budgets, scoped memory isolation, and tool allow-lists to solve observability, cost overrun, and permission management challenges in production.

Deep dive into the maderix/ANE GitHub project that reverse engineers Apple's private APIs to enable neural network training on the Apple Neural Engine, exploring its technical approach, efficiency gains, compliance risks, and implications for on-device AI.

A deep dive into building high-performance lock-free queues with modern C++, covering CAS atomic operations, memory ordering, Michael-Scott algorithm, ring buffers, ABA problem solutions, and memory reclamation mechanisms.

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.

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.

Bun author Jared Sumner used Claude Code's dynamic workflows to rewrite 1M+ lines of Zig code into Rust in 11 days for $165K — what 3 engineers would need a year to do.

Anthropic's Claude Code is accused of covert tagging via Unicode punctuation encoding, prompting Alibaba to ban its use. A deep dive into the reverse-engineering findings, distillation allegations, and the AI-era battle over compute monopoly and developers' right to know.

Arcaide is a code comprehension tool based on multi-level call graphs, helping developers explore function calling relationships from macro to micro, speed up onboarding, assess change impact, and identify technical debt.

Google paid a security researcher $250K for a Linux kernel VM escape vulnerability, setting a VRP record. An in-depth analysis of VM escape principles, kCTF incentives, and cloud security impact.
C++ Asymmetric Memory Barriers: Princi…
A deep dive into C++ asymmetric memory barriers: core principles, Linux membarrier syscall, compiler vs hardware fences, and engineering applications in RCU and lock-free data structures.

By capturing and analyzing ChatGPT's real network traffic during web retrieval, this article reveals the underlying logic of AI source selection—covering the layered mechanisms of retrieval recall and content filtering, domain preference patterns, and practical insights for content creators and SEO professionals.

Deep dive into LangChain 1.0's architecture: LangChain framework, LangGraph multi-Agent orchestration, and LangSmith observability platform, with hands-on RAG and intelligent customer service projects.
Binary Coverage Analysis Without Sourc…
A deep dive into binary coverage collection without source code, covering INT3 breakpoint traps, page protection tricks, Intel PT hardware tracing, and AFL bitmaps for reverse engineering and fuzzing.
TutorialsA detailed guide on AI+Frida reverse engineering for packet capture, from decompilation to auto-generated Hook scripts, capturing encrypted protocol plaintext in four steps.
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.
TutorialsA deep dive into Cursor's coding agent architecture and practical techniques, covering code search, feature development, debugging, code review, and custom configuration for efficient AI programming.
Product ReviewsReal-world test of CodeGraph (20k Stars), a code graph indexing tool that replaces AI file-by-file scanning with local semantic graphs. Unity project comparison reveals higher costs but significantly better code quality.