Originally published at heyuan110.com Your single OpenClaw agent worked great for two weeks. Then it started hallucinating project context into unrelated conversations, confusing coding tasks with writing tasks, and taking Continue reading OpenClaw Multi-Agent Configuration: Architecture and Production Patterns
What is Structive? Structive is a framework built on single-file Web Components that offers a structure-driven template syntax designed to eliminate as much boilerplate and state-hook overhead as possible, while Continue reading Specifications of Structive: A Framework That Makes State Management a Breeze
You tap your card at checkout, hit “pay” in an app, or send money to a supplier, and the screen flashes “payment successful” in seconds. It feels like the money Continue reading How Does Payment Settlement Work?
As an SDET testing AI applications, I recently encountered a bizarre issue in the OpenClaw Gateway UI. Instead of normal conversational text, the AI assistant started spitting out raw internal Continue reading When AI Leaks Internal Tags: Debugging a 3-Layer Streaming Architecture Bug
Building a SIEM-Style Threat Detection Dashboard Using ELK Stack and Docker In modern cybersecurity operations, centralized log collection and real-time visibility are essential for identifying suspicious behavior before it turns Continue reading Building a SIEM-Style Threat Detection Dashboard Using ELK Stack and Docker
AI can write code. Honestly, it can write it faster and with fewer syntax errors than most of us. But here’s what it can’t do: it doesn’t know your system’s Continue reading #6 Things Every Backend Engineer Should Know (That AI Won’t Tell You)
The hardest part of building a payment network isn’t the technology. It’s distribution. Visa has 100+ million terminals worldwide. How does a 3-person startup compete with that? The answer: you Continue reading How a New Card Network Gets Distribution Without Partnerships
You know Next.js. You know file-based routing, layouts, loaders, SSR. You probably also know the pain: server components vs client components, the “use client” dance, mysterious hydration errors, and a Continue reading From Next.js to Pareto: What Changes and What Stays the Same
In my last post, I mentioned using –image-min-tokens to increase the quality of image responses from Qwen3.5. I went to load Gemma 4 the same way, and hit an error: Continue reading A Quick Note on Gemma 4 Image Settings in Llama.cpp
TL;DR Install the DICOM/HL7/FHIR MCP Server (pip install dicom-hl7-mcp), add it to Claude Desktop, and paste any HL7 v2.x message. Claude parses every segment, names every field, looks up table Continue reading How to Parse HL7 Messages with AI — Free MCP Server
GHSA-qcc3-jqwp-5vh2: Unauthenticated Resource Exhaustion via LINE Webhook Handler in OpenClaw Vulnerability ID: GHSA-QCC3-JQWP-5VH2 CVSS Score: 5.3 Published: 2026-04-02 The OpenClaw personal AI assistant platform contains a resource exhaustion vulnerability in Continue reading GHSA-QCC3-JQWP-5VH2: GHSA-qcc3-jqwp-5vh2: Unauthenticated Resource Exhaustion via LINE Webhook Handler in OpenClaw
Title: Beyond the Blast: Using AI to Hyper-Personalize Media Lists Intro: You’ve spent hours crafting a perfect story angle. Now, you face the tedious, error-prone task of matching it to Continue reading How to Hyper-Personalization in Action: From Story Angle to Ranked Media List in Minutes
What if memory wasn’t stored in weights or neurons — but in shape itself? I present wave-memory, a Rust library that simulates how a wave interacts with a form that Continue reading 🧠 wave-memory: Geometric Wave Memory Inspired by Leonov Chaos
📌 Core Idea LFU (Least Frequently Used) means: Remove the least frequently used key If multiple keys have same frequency → remove least recently used (LRU) 📦 Data Structures Used Continue reading Implement LFU using LRU
Modern security teams are not short on alerts. They are drowning in them. Between vulnerability scanners, WAF logs, API gateways, and threat intel feeds, the problem is no longer visibility—it Continue reading Prioritizing Risk: Why Context Matters in API Security
